OFE-C Expression of Interest Signup
On-Farm Experimentation Community
The OFE-C is a community gathering OFE researchers and practitioners interested in sharing and compiling existing resources online e.g.:
• guidelines to implement OFE with farmers
• examples of OFE, experiences and lessons learnt
• statistical solutions to analyze OFE data
• best practices to solve specific OFE problems
• examples of OFE, experiences and lessons learnt
• statistical solutions to analyze OFE data
• best practices to solve specific OFE problems
The community focuses on: 1) compiling practical, applied, proven-to-be-useful resources; 2) connecting practitioners e.g., OFE networks, extension personnel, analysts. The objective is to provide OFE practitioners with a “1-go-to” source of information.
OFE Data and Analytics Guidelines
The On-Farm Experimentation Data and Analytics Guidelines spin-off from the May 17, 2021, Data and Analytics webinar of the #OFE2021 Webinar Series. They have been put together by the OFE-C leadership with the help of the webinar presenters and the related working group. Their goal is to propose state-of-the art data, metadata and statistical analysis practices in the on-farm experimentation context.
2022 Publication in Nature Food: OFE to Transform Global Agriculture
Our apologies for not having offered the opportunity to consult the full Nature Food paper in our last communication. The publisher does not allow open access for that kind of paper but it does provide an alternative in the form of this SharedIt link.
On-Farm Experimentation Community (OFE-C) co-leads, Simon Cook and Nicolas Tremblay are among the authors of a newly released and highly collaborative Nature Food paper on OFE. This timely work acknowledges and celebrates the diversity of approaches and views on farmer-centric OFE internationally. As the visionary Professor Simon Cook put it, “OFE is the result of accumulated changes across several domains that individually may not be spectacular, but collectively realize a change substantial enough to acknowledge and start articulating.” OFE indeed occurs at the intersection of discussions in agricultural sciences that are necessary to move forward, from best research practices that are inclusive and responsible, to digital technologies that renew spatial analysis and the production of local insights. The paper thesis is that OFE can contribute in a very concrete and pragmatic manner to reshaping relationships between all producers of knowledge — (re) building bridges between researchers, farmers, and other stakeholders of food systems. In many instances change will require proactive support and commitment from institutions. Lacoste, M., Cook, S., McNee, M. et al. On-Farm Experimentation to transform global agriculture. Nat Food (2021). https://doi.org/10.1038/s43016-021-00424-4
Recordings of the #OFE2021 Webinar Series are Available
The four OFE2021 webinars recordings are now available at https://www.ispag.org/Events/OFE
- Value Creation. OFE creates value for varied stakeholders, value is shared, and scientific disciplines can contribute. May 10, 2021.
- People and Processes. People are the real key to digital transformation. Transformation occurs when individual changes scale up through their networks and their organizations. May 12, 2021.
- Data and Analytics. Appropriate procedures and well-targeted analytics can be deployed to exploit the valuable data and metadata collected on the farm. May 17, 2021.
- Policy Linkages. Currently, initiatives around OFE are happening in spite of funding mechanisms, career paths and norms favoring traditional experimentation. Harnessing the transformational potential of OFE for agricultural sciences and innovation requires more strategic institutional alignment. May 19, 2021.
Map of the OFE-C Membership (try to reset if the map doesn’t display)
OFE-C Infos / Newsletters
By: Montana State University On-Farm Precision Experimentation Group We consider the potential endpoint of our research utilizing on-field experimentation to optimize crop production so that it maximizes farmer profits but minimizes pollution from crop production inputs (e.g. cover crops, fertilizers and pesticides). Our research has contributed the ability to fully automate OFE through the use of precision technologies and modern analytics. The conundrum is that agriautomation results in a more ecologically based agriculture that can simultaneously focus on food nutritional density and minimization of pollution, but ultimately removes human and historic mechanisms of knowledge. Agriautomation, the end point of ...more
Back in August 2021, guest editors Myrtille Lacoste, Isabelle Piot-Lepetit, Nicolas Tremblay and Simon Cook sent a call for papers for a virtual issue on OFE, which ended in March 2022. The virtual issue is titled “Farmer-Centric On-Farm Experimentation (OFE): digital tools for a scalable transformative pathway” Papers are starting to be published online and we want to highlight them here as they are coming out: ► Laurent et al. (2022) A yield comparison between small-plot and on-farm foliar fungicide trials in soybean and maize. ► Song et al. (2022) Factors influencing intention to apply spatial approaches to on-farm experimentation: insights ...more
Tune in for talks and discussions on OFE at the African Conference On Precision Agriculture Thursday, December 8th. It is not too late to register and attend the conference virtually. Louis Longchamps will be talking about Decentralized Research: an Opportunity to Accelerate the Transition Towards Sustainable Food Production; Myrtille Lacoste will be talking about Global Renewal and Future of On-farm Experimentation, and there will be an On-Farm Experimentation Panel with Louis Longchamps, Ivan Adolwa, and James Taylor. See details here.
Please fill out the survey if you haven't done so yet We are interested to learn how you use social media platforms, in order to plan our outreach strategy beyond the OFE-C Newsletters. To learn more, we have prepared a very short survey (2 multiple-choice questions) that can be completed in a few seconds. Please take a moment now to complete the survey below; we would appreciate it. https://forms.gle/b7sG4yNDCwxojVn98 Thank you for your support.
Thanks to my monthly co-editor Christian Huyghe, Scientific Director Agriculture INRAE
Observational research often perceived as inferior The main barrier to the publication of observational research is a perceived inferiority to randomised designs with regard to the reliability of their conclusions. This commentary addresses this issue and makes a set of recommendations. It analyses the issue of research reliability in detail and fully describes the three sources of research unreliability (certainty, risk and uncertainty). Two of these (certainty and uncertainty) are not adequately addressed in most research texts. It establishes that randomised designs are vulnerable as observation studies to these two sources of unreliability, and are therefore not automatically superior to ...more
IPMWorks is a European-wide farm network demonstrating and promoting integrated pest management strategies. Coordinated by Nicolas Munier-Jolain (INRAE, France). This network gathers 31 partners from 16 countries across Europe. These partners cover the following roles: Farmers' organizations; Applied research, advisory and extension services; Academic research on social sciences; Academic research on agronomy (sensu lato) and environmental science; and Training organizations. Beyond the very rich on-farm resource, the project builds an extensive toolbox, that is continuously enriched, thanks to the diversity of partners. To learn more about the IPMWorks project, follow this link.
The ITAP Research unit (Technologies for the Agriculture of Tomorrow) has an early career research position open at the moment to research and support the use of on-farm experimentation in the agroecological transition. The post details are available on the INRAE website (in French). See the position's description here. The candidate will work with a dynamic group of researchers in Precision and Digital Agriculture based in Montpellier, France. The successful candidate does not necessarily need to be proficient in French, but does need to commit to learning and working in French. As this is an OFE position, interaction ...more
The first Agroecosystem Living Labs symposium will be organized as a side event of the international Adaptation Futures 2023 to be held in Montreal in October (2-6 October 2023 in Montréal, Canada). The Agroecosystem Living Labs, jointly organized by Agriculture and AgriFood Canada and INRAE-France, will be in a hybrid format and will offer the possibility to share experiences across the world. On-farm experiments are one form of such participatory approaches. Thanks to the work of the scientific committee, the most valuable papers will be published in a special issue of an international scientific journal. To visit the COnference ...more
Sugar beet production in western Europe is under threat because of the damages due to the impact of viruses that are transmitted by peach aphids. Since 1993, this threat has been under control by the use of neonicotinoids in seed treatments. Due to French regulations, this pesticide has been withdrawn from all crops since 2018. In absence of protection, major yield losses were observed in 2020 (-27.4%) due to early aphid arrivals. A derogative regime for sugar beet was set, that went to an end after the decision of the European Commission Justice Court in January 2023. In order to identify levers and ...more
Regulators Speak About Decentralized Clinical Trials While the Decentralized Clinical Trials concept is still in its infancy, the fact that regulators encourage Decentralized Clinical Trials practices indicates it is here to stay. Much work between the industry and regulators will need to occur before Decentralized Clinical Trials can become a harmonized approach. Read the news clip here.
Back in August 2021, guest editors Myrtille Lacoste, Isabelle Piot-Lepetit, Nicolas Tremblay and Simon Cook sent a call for papers for a virtual issue on OFE, which ended in March 2022. The virtual issue is titled “Farmer-Centric On-Farm Experimentation (OFE): digital tools for a scalable transformative pathway” Here is the latest article to be published ► Toffolini and Jeuffroy 2022. On-farm experimentation practices and associated farmer-researcher relationships: a systematic literature review.
Science and Technology Backyards (STBs) were introduced by China Agricultural University in 2009. It is a farming service model designed to reinforce relational embeddedness between education, research, and extension at the community level to provide agricultural extension and advisory services to smallholder farmers. STB can be considered a hybrid model that combines a top-down approach with bottom-up measures to promote innovation among smallholder farmers. In STBs, technological innovation is supposed to derive from location-specific problem diagnosis and is re-fitted based on local context and farmer demand. To learn more read the Li et al. 2022 paper here.
Based on the results below, it seems like LinkedIn is, by a small margin, the preferred social media platform of our group. Due to the spread of use across multiple platforms, it may be good to consider a multi-platform communication strategy, broadcasting content on Facebook, Twitter, and LinkedIn simultaneously. Another outcome of this survey is noticing that there seem to be few students in our group. We encourage you to inform your students about the OFE-C and tell them that they can sign up for free here.
Our apologies for not having offered the opportunity to consult the full Nature Food paper in our last communication. The publisher does not allow open access for that kind of paper but it does provide an alternative in the form of this SharedIt link. On-Farm Experimentation Community (OFE-C) co-leads, Simon Cook and Nicolas Tremblay are among the authors of a newly released and highly collaborative Nature Food paper on OFE. This timely work acknowledges and celebrates the diversity of approaches and views on farmer-centric OFE internationally. As the visionary Professor Simon Cook put it, “OFE is ...more
The On-Farm Experimentation Data and Analytics Guidelines spin-off from the May 17, 2021, Data and Analytics webinar of the #OFE2021 Webinar Series. They have been put together by the OFE-C leadership with the help of the webinar presenters and the related working group. Their goal is to propose state-of-the art data, metadata and statistical analysis practices in the on-farm experimentation context.
In 2023 the Research Data Alliance will celebrate its 10th anniversary and will commemorate this important milestone by organizing a series of international and regional events and activities. Each month of 2023, from February to November, will be dedicated to a specific theme related to research data management of relevance to the RDA community. The RDA Secretariat and regional bodies are organizing various thematic events and activities (e.g., webinars, workshops and podcasts). February: FAIR data, software and hardware March: A Decade of Data: The RDA’s 20th Plenary meeting April: Health and medical data May:&...more
The “Responsible Digital Agroecology, from farm to fork” webinar will be held on Thursday, October 13, 4–6 p.m. (Paris time). It is organized by #DigitAg (INRAE-CIRAD) and CGIAR. How can innovations in digital agriculture ensure inclusion and equity for all actors in the value chain? Today, new digital tools and services make digitalization more suitable to smallholders and could boost transition towards agroecology, climate-smart agriculture and inclusiveness. Research efforts must now concentrate both on technological development and on the organizational and policy evolution necessary to maximize the benefits while avoiding risks. More, original ways to carry out research, ...more
The UK RECOVERY Trial is heralded as a huge success for its discovery of cheap and effective treatments to COVID even while the UK’s National Health Service was being inundated by the Tsunami of the Covid pandemic. The trial is credited with saving at least a million lives, using Dexamethasone, a cheap and readily available medication. It did so in rapid time, enrolling its first trial patient within days, its first life-saving treatment within weeks and changes to government policy within hours. The account of the RECOVERY Trial makes exciting reading in its own right, but ...more
The Data-Intensive Farm Management Project at the University of Illinois will be hosting again their biweekly seminar series where members of the DIFM/CIGOFT project will present their research. The seminar series will be held on every other Thursday's starting October 20, 2022. People who have tried the DFIM system and would like to share their experience are encouraged to reach out to Carli J. Miller (firstname.lastname@example.org). You can connect via email with Carli J. Miller for the link to the seminars. Come and join us.
FarmPEP is a new knowledge exchange platform created for agriculture. It was initiated in January 2020 via an Innovate UK project with ADAS, Agri-techE, CCRI, Innovative Farmers, Open Coop and The Farming Forum with the aim of connecting Knowledge Exchange in agriculture, post-Covid19. Read more about the initial project here. It has been co-designed to connect across agriculture, enabling knowledge exchange through a new Performance Enhancement Platform. It aims to connect people, organisations, projects and resources to enable knowledge across farming to be shared, found, discussed, distilled and developed. Various topics include On-Farm Experimentation, Farm centric ...more
On-farm experiments are used increasingly in agronomic research because they are commercially relevant, but they can carry greater risks of failure than traditional small plot experiments conducted by scientists. Experimental failures can result from farmer withdrawal, errors in treatment application or harvest, or non-provision of yield data by farmers. This paper describes the development and testing of approaches for on-farm experimentation and concludes which approaches should be adopted to maximise success. The programme of work included the largest on-farm research network in the UK, with farmers conducting around 50 on-farm experiments per year from 2017 to 2019 to compare fungicide programmes in winter ...more
The Soil Fertility and Soil Health Program in the Department of Plant Science and Landscape Architecture at the University of Connecticut, Storrs, CT seeks a highly motivated Post Doctorial Associate. The Postdoc will work with the PIs from multiple institutions (e.g., University of Illinois, Montana State University, Louisiana State University, University of Nebraska, USDA-ARS, etc.) to support projects focus on studying variable rate strategies using on-farm precision experiments, cutting-edge digital agricultural technologies, big data, and data analytics. The selected applicant will conduct on-farm experiment, analyze data, publish peer-reviewed journal articles, contribute to the development of decision-support tools, and participate ...more
Merging precision agriculture technology and agroecological principles offers a unique array of solutions driven by data collection, experimentation, and decision support tools. Precision agroecology provides a unique opportunity to synthesize traditional knowledge and novel technology to transform food systems. Duff, H.; Hegedus, P.B.; Loewen, S.; Bass, T.; Maxwell, B.D. Precision Agroecology. Sustainability 2022, 14, 106. https://doi.org/10.3390/su14010106
A conference will be held on June 9, 2022, at the USDA National Agricultural Library to showcase the agricultural data interoperability work done as part of ARDN, the Agricultural Research Data Network. This work started with development of the AgMIP data interoperability standards in 2010 and has been expanded in collaboration with CGIAR and the USDA National Agricultural Library. The ARDN project team will describe methods developed for data annotation and sharing which can be used to “rescue” legacy data or be applied to new data sources to facilitate interoperability and reuse of our most valuable agricultural research product: data. The ...more
Jennifer Gibson, the Executive Director of Dryad in the UK explains Social Marketing which has been an important strategy in public health promotion for 30 years and has significant potential for helping to advance change in the research community.
This “FAIR Quality Information guidelines” reviews FAIR principles from a “quality” perspective and summarizes this into guidelines for data producers, users, custodians and stewards. The guidelines are aimed at Earth Science datasets with these composing most of the examples. However, the advice is quite general, applicable to agricultural datasets.
Farmers’ experimentation has long been identified, but until now, its dynamic has hardly been studied at all. The aim of this paper from Catalogna et al. (2022) is to understand the multiannual experimental itineraries that farmers follow when they try new agroecological practices on their farms. Results show how the representation of experimental itineraries could support farmers in their experiments and enable them to learn more efficiently.
Informed decisions on whether and how to (re)use digital datasets are dependent on an understanding about the quality of the underpinning data and relevant information. This new paper addresses the challenges and promotes the creation and (re)use of freely and openly shared information about the quality of individual datasets. Members of several groups around the world have undertaken an effort to develop international community guidelines with practical recommendations for the Earth science community, collaborating with international domain experts.
Data Streams is a collection of conversations among members in the Research Data Alliance (RDA) community about challenges they face as researchers and data experts in managing the massive quantities of research data and how together, they are finding solutions and proving the value of open research data sharing and reuse.
Here is an exceptional opportunity to let the scientific community know about your On-Farm Experimentation (OFE) work. Contributions are most welcome to this Virtual Issue focusing on recent advances relative to Farmer-Centric On-Farm Experimentation (OFE). It coincides with OFE2021, the 1st Farmer-Centric On-Farm Experimentation Conference (13–15 October 2021) and is open to everyone. Indeed, participation in OFE2021 is not mandatory to submit OFE-related work to this special issue. Submissions end on March 1, 2022. The conference was supported by the OECD—CRP Sustainable Agricultural Systems, DigitAg, INRAE and the International Society of Precision Agriculture (ISPA).
A final report on Research Data Alliance (RDA) 18th Virtual Plenary Meeting is now available, capturing various takeaways from the November feeding. All videos from Virtual Plenary 18 are now available on YouTube. The videos are all now available for the public to listen to at their convenience. Have a special look at the "BO2 - IG Agricultural Data IGAD: Interest Group on Agricultural Data: A roadmap for our CoP" broadcast.
Two papers on canola featuring on-farm research: Khakbazan, M., Moulin, A. & Huang, J. Economic evaluation of variable rate nitrogen management of canola for zones based on historical yield maps and soil test recommendations. Sci Rep 11, 4439 (2021). https://doi.org/10.1038/s41598-021-83917-3 Aaron J. Glenn, Alan P. Moulin, Amal K. Roy, Henry F. Wilson. Soil nitrous oxide emissions from no-till canola production under variable rate nitrogen fertilizer management. Geoderma 385, 114857 (2021) https://doi.org/10.1016/j.geoderma.2020.114857
Developed by the Virtual Irrigation Academy, piloted water front detectors (WFD) are a simple soil moisture tool that informs farmers when to irrigate and when to stop applying water to their fields. Now, freely available satellite data, covering a wide geographical area with repeated measurements over time, offers an alternative way to monitor and assess intervention impacts in fragmented smallholder landscapes. A wide range of freely available satellite data sources exist, capturing the Earth’s surface in various levels of detail. Landsat 8 satellite data provided the best available resolution for the period during which on-farm water management interventions took ...more
Dr. David Bullock made a presentation entitled “Contributing to an International Cyber-Infrastructure for On-farm Precision Experimentation” before the OFE2021 “Farmer-Centric On-Farm Experimentation” Conference and the University of Bonn PhenoRob Institute. The purpose of the trip was to publicize DIFM’s latest efforts and seek collaboration with researchers in the European Union. The DIFM team has also created a multistate Research Project, titled NC1210: Frontiers in On-Farm Experimentation which will enable researchers from all across the United States to collaborate and host meetings on an annual basis.
This review provides guidance for the most commonly encountered methodological issues when analyzing yield stability in LTEs. Consistent use of the suggested guidelines and recommendations may provide a basis for robust analyses of yield stability in LTEs and to subsequently design stable cropping systems that are better adapted to a changing climate. Reckling, M., Ahrends, H., Chen, TW. et al. Methods of yield stability analysis in long-term field experiments. A review. Agron. Sustain. Dev. 41, 27 (2021). https://doi.org/10.1007/s13593-021-00681-4
This paper explores statistical frameworks to quantify the effect of a single treatment strip using georeferenced yield monitor data and yield stability-based management zones. Cho, Jason B., Joseph Guinness, Tulsi Kharel, Ángel Maresma, Karl J. Czymmek, Jan van Aardt, and Quirine M. Ketterings. 2021. "Proposed Method for Statistical Analysis of On-Farm Single Strip Treatment Trials" Agronomy 11, no. 10: 2042. https://doi.org/10.3390/agronomy11102042
You might consider submitting your work to the Special Issue in Agronomy for Sustainable Development. This virtual issue coincides with OFE2021, the 1st Farmer-Centric On-Farm Experimentation Conference (13–15 October 2021) and is open to everyone. Submissions end on March 1, 2022.
As the use of smartphone technology is becoming increasingly popular in the agricultural context, there is a need to consider how farmers have adapted to this form of technology. The current study examined the factors which influence Irish farmers’ engagement with smartphone use and new smartphone apps and explored the supports required by farmers to successfully engage with smartphone apps for agriculture use. Kenny, U. and Regan, Á., 2021. Co-designing a smartphone app for and with farmers: Empathising with end-users’ values and needs. Journal of Rural Studies, 82, pp.148-160.
To address the global food system challenges effectively, we must overcome fragmentation within and across sectors to act in a transdisciplinary fashion, bringing together the natural and social sciences with data and technology to drive food systems towards more favorable potential futures for humanity and the planet. The Global Coalition for Digital Food Systems Innovation participated to the “Forum COP26 Live”. The recording is available here. The Coalition involves FAO, World Bank, CGIAR Platform for Big Data in Agriculture, Mineral at X, Google, Digital Green, GEOGLAM, Hewlett Packard Enterprise, VARDA, Consumers International, Bayer Foundation, Mercy Corps, World ...more
This webinar reflects on how to achieve sustainable productivity gains through investments in soil health and knowledge. Reports have been commissioned on pioneering efforts in East and Southern Africa to engage and empower farmers and communities through approaches that specifically support disadvantaged youth and women. Highlights include innovations in extension, soil health monitoring and agricultural policy around sustainable intensification.
Agriculture research uses “recommendation domains” to develop and transfer crop management practices adapted to specific contexts. The scale of recommendation domains is large when compared to individual production sites and often encompasses less environmental variation than farmers manage. Farmers constantly observe crop response to management practices at a field scale. These observations are of little use for other farms if the site and the weather are not described. The value of information obtained from farmers’ experiences and controlled experiments is enhanced when the circumstances under which it was generated are characterized within the conceptual framework of a ...more
Dr. David Charles, retired from Nottingham University in the UK is passionate with the history of agriculture. Here are two excerpts of what you can find in Dr. Charles short paper on the ISPA website. Early Precision Agriculture: In the 6th century A.D. Pope Gregory and Archbishop Augustine organised England on a system of parishes. Within these parishes there were usually three large communal fields divided into strips. Village families held randomised replicated strips in the three fields with the intention of giving them all fair shares of good and bad land. Early On-Farm Experimentations: Thomas Coke of ...more
The On-Farm Experimentation Community makes available here the recordings of the #OFE2021 Webinar Series. These four online sessions took place in May 2021 to discuss a range of key topics prepared by the conference committee together with dedicated working groups. Learn more about #OFE2021.
Abstracts for #OFE2021 are accepted until June 30, 2021. Submit your 150-word abstract for an e-presentations on On-Farm Experimentation activities or research. Topics addressing lessons learnt as well as research results are suitable and encouraged.
The Open Ag Data Alliance is an open project designed to bring interoperability, security, and privacy to agricultural data. The purpose of the Open Ag Data Alliance is to develop a standard API framework for automated data exchange. If a person has data stored in one place, and would like an app or service to be able to access it, they need only know the top-level domain where their data sits in order for the app or service to use it, providing permission when setting up the connection.
The Agricultural Research Data Network (ARDN) provides tools and protocols to allow researchers to not only share their data, but to make their data interoperable and reusable. Additional tools allow end users of the data to combine and reformat ARDN data for quantitative analysis and modeling.
The Krishi Vigyan Kendra (KVK) knowledge network is an integral part of the National Agricultural Research System (NARS) in India. It aims at the assessment of location-specific technology modules in agriculture and allied enterprises, through technology assessment, refinement and demonstrations. KVKs have been functioning as Knowledge and Resource Centres of agriculture technology supporting initiatives of public, private and voluntary sectors. This initiative has the potential of becoming very large and increasingly farmer-driven, leading researchers to consider farmers first.
The scientists, together with producers and their communities will co-create applicable solutions to improve the environmental performance of farms and watersheds and help improve the health of Lac Saint-Pierre, an enlargement of the St. Lawrence River in Quebec.
In our data-rich world, identifying optimal systems for sustainable intensification or diversification is lacking a data management system across spatial and temporal resolutions including workflows, interpretation methodology, and a delivery structure. This paper offers solutions for developing a platform for bridging component parts (encompassing multiple scales and disciplines) to analyze system functionality for greater resiliency. [Tulsi P. Kharel Amanda J. Ashworth Phillip R. Owens Michael Buser. 2020. Spatially and temporally disparate data in systems agriculture: Issues and prospective solutions. Agronomy Journal 112 (5): 4498–4510. https://doi.org/10.1002/agj2.20285].
The UK has launched the Transforming Agricultural Innovation for People, Nature and Climate campaign to catalyze a step change in agricultural innovation. The series of webinars will present the findings of five evidence reviews commissioned under the Research, Development and Deployment (RD&D) strand of the Sustainable Agriculture component of the COP26 Nature Campaign. The second webinar in the series focuses on agroecology and climate change adaptation and mitigation. Agroecology is increasingly promoted as a means to transform food systems globally, yet the evidence for generating large-scale impacts on climate change adaptation and mitigation in developing countries has been ...more
A GODAN webinar with Professor Sabina Lionelli and Dr. Hugh Williamson from Exeter University on Making Crop Data Responsible and Reliable that took place recently. The speakers concentrated on how social intelligence fuels ethical data management strategies for precision agriculture. The recording of the event is now available to watch here.
Data Sharing Toolkit could contribute to unlocking greater food security. CABI and the Open Data Institute (ODI) has launched a Data Sharing Toolkit which could contribute to greater food security in Sub-Saharan Africa and South Asia through better access to data on soil health, agronomy and fertilizer.
A Farmer-Led Innovation Network (FLIN) was established in October 2018 to share knowledge and experiences and provide a collective advocacy voice for farmers in the UK. The main aim is to understand, learn from and “power-up” farmer-led innovation initiatives and increase their economic, environmental and social impact across the industry.
This open access 2019 special issue of Agronomy Journal 111(6): 2633–2768 is a must read. It contains papers that show how to improve data analyses and summarization of a large number of experiments containing similar treatments across years and locations.
ISOFAST simultaneously reports all trial results about the same management practice to simplify interpretation of multi‐sites and multi‐year summaries. [Laurent et al. 2021. Research Synthesis Methods 12(1). https://doi.org/10.1002/jrsm.1440.]
Fragmented and unclear data governance arrangements may weaken farmers’ willingness to adopt digital solutions. This, in turn, may reduce the availability and accessibility of agricultural data for policymaking, for the agricultural innovation system, and for developing services for farmers. This OECD report focuses on farmers’ concerns around access, sharing and use of agricultural data and explores whether and how existing policy frameworks and other sectoral initiatives can help to foster greater trust. [Jouanjean, M., et al. (2020), “Issues around data governance in the digital transformation of agriculture: The farmers’ perspective,” OECD Food, Agriculture and Fisheries Papers, ...more
This study investigates methodological and philosophical issues pertaining to farmers’ experiments, including the choice of interventions to be tested, the planning of experiments, and the use of control fields and other means to deal with confounding factors. [Hansson, Sven Ove. 2019. “Farmers’ Experiments and Scientific Methodology.” European Journal for Philosophy of Science 9 (3): 32. https://doi.org/10.1007/s13194-019-0255-7.]
A new paper proposes a spatially varying local cokriging method for large on-farm experimentation data which could lead to high-resolution site-specific farming treatment recommendations. Its accuracy of spatial prediction is compared with five other techniques. The open source code is accessible via a user-friendly interface of Quantum GIS. [Huidong Jin, K. Shuvo Bakar, Brent L. Henderson, Robert G.V. Bramley, David L. Gobbett. 2021. An efficient geostatistical analysis tool for on-farm experiments targeted at localised treatment. Biosystems Engineering 205:121–136, ISSN 1537–5110.]
A Farmer-Led Research Webinar was conducted last month by the School of Environmental Design and Rural Development, University of Guelph. The webinar mentioned the need for scientific rigor, yet keeping a balance between practical and robust protocol, on the one hand, and keeping data collection and research flexible, on the other hand. The recording is now available.
Site-specific information about crop responses to agronomic treatments is needed. Geographically weighted regression was applied to generate local regression coefficients, which were used to delineate response zones in fields. This is a way to reevaluate expectations on variable rate prescriptions guided largely by soil and variability. Trevisan, R.G., Bullock, D.S., Martin, N.F. Site-Specific Treatment Responses in On-Farm Precision Experimentation. Preprints 2019, 2019020007 (doi: 10.20944/preprints201902.0007.v1).
The proceedings from the 1st African Conference on Precision Agriculture (AfCPA) are now available for download as a PDF (29 MB). The 1st AfCPA was held from 8-10 December 2020 under the hospices of the African Plant Nutrition Institute (APNI) in partnership with Mohammed VI Polytechnic University (UM6P) and the International Society of Precision Agriculture (ISPA).
Crowdsourcing, understood as outsourcing tasks or data collection by a large group of non-professionals, is increasingly used in scientific research and operational applications. Close connections with the farming sector, including extension services and farm advisory companies, could leverage the potential of crowdsourcing for both agricultural research and farming applications. [Julien Minet, Yannick Curnel, Anne Gobin, Jean-Pierre Goffart, François Mélard, Bernard Tychon, Joost Wellens, Pierre Defourny. Crowdsourcing for agricultural applications: A review of uses and opportunities for a farmsourcing approach. Computers and Electronics in Agriculture 142, Part A (2017): 126-138.]
From Fisher in 1926 to nowadays much needs to change in the analysis of agricultural experimentations. Charles (2021) guest editorial in The Journal of Agricultural Science focuses on the 20th century. Even before the digital age, experiments intended to resolve difference questions were replaced by experiments designed to answer questions about the magnitude of differences and responses to treatments. The review raises a question: namely is it time to revisit Bayesian statistics on the grounds that visionaries and innovators are prone to subjectivity? [Charles D. (2020). Guest Editorial: The analysis of agricultural experiments: a brief history of the techniques of the 20th century. ...more
Heterogeneous spatial datasets are those for which the observations of different datasets cannot be directly compared because they have not been collected under the same set of acquisition conditions, with consistent sensors or under similar management practices, among others. This paper details and compares four automated methodologies that could be used to harmonize heterogeneous spatial agricultural datasets so that the data can be analyzed and mapped conjointly. [Leroux, C., Jones, H., Pichon, L. et al. Automatic harmonization of heterogeneous agronomic and environmental spatial data. Precision Agric 20, 1211–1230 (2019). https://doi.org/10.1007/s11119-019-09650-0]
We are putting together the #OFE2021, the First Conference on Farmer-Centric On-Farm Experimentation—Digital Tools for a Scalable Transformative Pathway. The conference will be preceded by four preparatory webinars: Value creation: Monday, May 10, 2021 People and processes: Wednesday, May 12, 2021 Data and analytics: Monday, May 17, 2021 Policy linkages: Wednesday, May 19, 2021 The times will correspond to 8 to 10 a.m. in Chicago (Central Daylight Time), 3 to 5 p.m. in Paris and 6:30 to 8:30 p.m. in India. Check the calendar on the ISPA home page for updates.
Do farmers and researchers have the same criteria for gauging the success of an experimental trial in commercial conditions? Having the priorities of the farmers in mind, how should the researchers adapt their experimental approaches and analytics? White peg research or else? We are starting a structured thinking process on this question in order to frame the debate and develop consensual guidelines. Should you have elements to provide or want to be involved, drop us a line here.
A digital geographic dataset is a representation of some model of the world for use in computer analysis and graphic display of information. To ensure that data are not misused, the assumptions and limitations affecting the creation of data must be fully documented. The objective of this part of ISO 19115 is to provide a model for describing information or resources that can have geographic extents. ISO 19115-1:2014 defines the schema required for describing geographic information and services by means of metadata.
There is a need to shift the focus from individual studies to the accumulating body of evidence concerning the agronomic and environmental benefits of innovative farming practices. Systematic reviews, evidence mapping, on-farm research, and meta-analyses are available for the integration of results but they are not yet used as frequently as one might expect. Both qualitative (systematic reviews, evidence maps, farm surveys) and quantitative syntheses (meta-analyses, modeling) have been published in a special issue of the European Journal of Agronomy. [Makowski, D. Editorial of the special issue “Evidence synthesis in agronomy”. European Journal of Agronomy 122 (2021) 126183. ISSN 1161-0301. https://...more
This Laurent et al. paper shows how to prevent farmers from overoptimistic expectations that a significant effect at the overall population level will lead with high certainty to a yield gain on their own farms. [Laurent, A., Kyveryga, P., Makowski, D. & Miguez, F. A Framework for Visualization and Analysis of Agronomic Field Trials from On‐Farm Research Networks. Agron. J. 111, 2712-2723, doi:10.2134/agronj2019.02.0135 (2019).]
GARDIAN is CGIAR’s (Consultative Group on International Agricultural Research) flagship data harvesters. It enables the discovery of publications and datasets from across the thirty-odd institutional publications and data repositories from CGIAR Centers and beyond. Actually, most data and publications are not stored in it but in other public databases and repositories. GARDIAN a key component of the Platform’s objective to establish the infrastructure, tools, and approaches to making CGIAR data Findable, Accessible, Interoperable, Reusable (FAIR). GARDIAN employs text mining to enrich the associated metadata to enhance discovery, and will soon test data mining techniques with cleaned, ...more
The Australian Farm Data Code aims to promote adoption of digital technology, by ensuring that farmers have comfort in how their data is used, shared and managed. It is intended to inform the service providers who manage data on behalf of farmers, and a tool for farmers to evaluate their policies.
All data scientists know the importance of good and unambiguous definitions of data dimensions, crucial to all phases of data analysis. However, semantics is often left implicit in the data, the semantic resources used to create the data are not easily accessible, or available in non-standard formats, non (easily) machine-readable – all factors hampering the possibility of reusing data in information systems or integrating it with other datasets and ultimately limiting the interoperability of data. This paper presents recommendations to engage agrifood sciences in a necessary transition to leverage data production, sharing and reuse and the adoption of the « ...more
We are seeking free-of-right photos illustrating co-learning by scientists, farmers and professionals around on-farm experimentation and digital opportunities in a broad range of systems and contexts. If you have pictures that eloquently illustrate this idea that you are willing to share, please drop us an email. It will be greatly appreciated!
Farmers struggle to use data for decision-making. A survey of over 1500 farmers demonstrated high rates of data collection but low rates of data usage. Participants to the conference “Identifying Obstacles to Applying Big Data in Agriculture” defined scenarios in which on-farm decisions could benefit from the application of Big Data. Common obstacles identified included errors in the data, inaccessibility of the data, unusability of the data, incompatibility of data generation and processing systems, the inconvenience of handling the data, the lack of a clear return on investment (ROI) and unclear ownership. One solution: Standards or guidelines for farmers ...more
Thanks to the many who have answered our quick survey posted in the On-Farm Experimentation Community Info No. 1. We asked you to select any combination among the following themes: Creation/sharing of value and intellectual property Farmer-centric, co-learning and social aspects Data, metadata, analytics, modelling, artificial intelligence Transformation through policy, legislation and investment All aspects generated interest, but primarily the data and analytics, and the farmer-centric ones. We will soon come back to you with more about how we intend to make progress along those lines.
We launched a quick survey in the OFE-C info letter no. 5. To the question, “Do you use a standard for your agronomic data? » 85% answered, “No, but I would be interested,” nobody simply answered, “no” and 15% answered, “Yes.” Among the latter, the following standards were suggested: AgMIP / ICASA: Porter, C.H., C. Villalobos, D. Holzworth, R. Nelson, J.W. White, I.N. Athanasiadis, S. Janssen, D. Ripoche, J. Cufi, D. Raes, M. Zhang, R. Knapen, R. Sahajpal, K.J. Boote, J.W. Jones. 2014. Harmonization and translation of crop modeling data to ensure interoperability. ...more
The outcomes of on-farm experiments can support farmers’ decision-making processes, while inappropriate procedures would result in incorrect interpretations. Conventional statistical approaches (e.g., ordinary least squares regression) may not be appropriate for on-farm experiments because they are not capable of accurately accounting for the underlying spatial variations in a particular response variable (e.g., yield data). A combination of a repeated design and an anisotropic model is required to improve the precision of the experiments. [Tanaka,T.S.T. 2020. Assessment of research frameworks for on-farm experimentation through a simulation study of wheat yield in Japan . Preprint 12741.]
The OFE-C is seeking professionals and researchers dealing with data from on-farm experimentations or their analysis. We want to identify requirements and valid procedures leading to guidelines and eventually policy development. Volunteers will help select topics to cover in a webinar sometime this spring and the best presenters for that purpose. The workload will not be substantial. Please volunteer or suggest someone you know here.
The LTAR network integrates question-driven research projects with common measurements on multiple agroecosystems (croplands, rangelands, and pasturelands) and develops new technologies to address agricultural challenges and opportunities. The LTAR network provides common measurements and data streams that complement other federally funded national networks. Their data management working group strives to make LTAR data aligned with the FAIR guiding principles, to be findable, accessible, interoperable, and reusable. The LTAR network fosters data sharing principles and guidelines with the intent that all LTAR data will be available for research collaboration and the development of agroecosystem management recommendations and education.
Mobilising co-innovation involves a complex interplay between contextual forces and facilitation processes. This interplay shapes the core co-innovation processes of joint framing, testing of solutions and creating new knowledge. The interplay between contextual and facilitation processes requires an adaptive approach to research design and management. [Ingram, J., Gaskell, P., Mills, J. & Dwyer, J. How do we enact co-innovation with stakeholders in agricultural research projects? Managing the complex interplay between contextual and facilitation processes. J. Rural Stud. 78, 65-77, doi:10.1016/j.jrurstud.2020.06.003 (2020).]
This Sustainable Agriculture Research and Education (SARE) technical bulletin provides detailed instruction for crop and livestock producers, as well as educators, on how to conduct research at the farm level using practical strategies and peer-reviewed research findings. It also includes a comprehensive list of in-depth resources and real-life examples in order to stimulate on-farm research ideas and provide guidance.
The OFE-C is consolidating occurrences of farmer-led research, farmer-centric on-farm experimentation, living labs, or the like. Our goal is to map and feature these initiatives all around the world. Drop us a short notice about what and whom you know!
Data from commercial oil palm operations were analyzed for a whole plantation to rank individual blocks according to their ability to respond to applied fertilizer. The ranking was used to guide fertilizer management by diverting fertilizer from unresponsive blocks to those that are more responsive. Although the inferences lack statistical validity, they appear robust from a practical viewpoint. They are easy to evaluate in the field, since they require no upscaling from or interpretation of experimental data. [Oberthür, T. et al. Plantation Intelligence applied Oil Palm operations: unlocking value by analyzing commercial data. The Planter 93, 339–351 (2017)]
The Living Laboratories Initiative is an integrated approach to agricultural innovation that brings farmers, scientists, and other partners together to co-develop, test, and monitor new practices and technologies in a real-life context.
This 2018 book chapter by Kyveryga et al. is about On-Farm Replicated Strip Trials. It provides a brief overview of how to plan, design, and conduct on-farm replicated strip trials. Practical considerations are listed when using different types of equipment. Examples are presented on how to summarize data from individual locations, as well as how to interpret experiments conducted. Applicable keywords are data analyses, economic analysis, environmental conditions, modern precision agriculture equipment, on‐farm replicated strip trials, research hypothesis, result interpretations, sustainable farming, within‐field management history, within‐field variability.
By working together with other farmers, suppliers, agronomists and scientists, farmers can use their own trials to bring fast learning, new findings and best practice for themselves and the industry at large, an approach ADAS calls “Agronōmics”. GPS and other modern technologies, along with thorough trial protocols, can make farm trialling straight forward and routine. Decisions and innovations can then become thoroughly validated and tailored to real farming conditions. This Guide to Farmer’s Crop Trials outlines processes leading to successful farm-trialling and how to avoid the pitfalls.
Acknowledging how farmers learn is a forced passage to the impact of knowledge generation and the way to link extension to research. This Janvry et al. (2016) paper presents an interesting perspective. It presents a few concepts such as “private learning” (learning-by-doing) by Bayesian updating. This consists of direct learning from own individual actions over time. There is also “social learning” (learning from others) with Bayesian updating and aggregation of observations collected from others according to a chosen pattern of weights.
“Testing of only one variable at the same time,” has sometimes been described as one of the criteria that a scientific field trial has to satisfy. In projects involving cooperation between farmers and scientists, scientists have sometimes been “frustrated” with farmers whose experiments have not satisfied the one-variable requirement. Reportedly, this is “one of the points that has [led] research station scientists to dismiss farmer innovation.” This study investigates methodological and philosophical issues pertaining to farmers’ experiments such as the choice of interventions to be tested, the planning of experiments, and the means ...more
The EFAO is a research program led by farmers which combine their curiosity with scientific rigour to answer challenging on-farm questions. Their website features an open access source to EFAO research protocols, reports and publications. Their research library lists a few on-farm research guides, two of them to be found below:
Accurate interpretation is the key to getting value from OFEs—good interpretation helps farmers learn more from each OFE, and manage with greater certainty as a result. Sadras and co-authors [Making Science More Effective for Agriculture: Advances in Agronomy, 163:153—77] call for an expanded role for agronomic logic to solve global crop production challenges. Yet many OFEs generate insights of complex and variable crop behaviour that call for stronger engagement of agronomy with these farmer-driven operations. In fact, some data scientists believe analysis can proceed without theory—an approach Taguchi adopted for dealing with complex systems. As we ...more
Have a look at this classic 2006 guide (Designing Your Own OFE - Bramley) for farmers and their advisers on precision agriculture-based field experiments - their design, and the important issues to be considered in analysing the results. The guide was published by the Grains Research & Development Corporation (GRDC) of the Australian Government.
Farmers today face a complicated set of expectations while trying to make a living. These challenges are complex, yet most agricultural research has approached them from a reductionist standpoint. The handbook delivers guidance on how to form effective interdisciplinary and multi-stakeholder teams and how to plan, implement and analyze system experiments. The Sustainable Agriculture Research and Education (SARE) program is a decentralized competitive grants and education program.
“Testing of only one variable at the same time,” has quite recently been described as one of the criteria that a scientific field trial has to satisfy. In projects involving cooperation between farmers and scientists, scientists have sometimes been “frustrated” with farmers whose experiments have not satisfied the one-variable requirement. Reportedly, this is “one of the points that has [led] research station scientists to dismiss farmer innovation.” This study investigates methodological and philosophical issues pertaining to farmers’ experiments such as the choice of interventions to be tested, the planning of experiments, and the ...more
This guide from the Organic Farming Research Foundation (OFRF) is available to farmers for planning, carrying out, and analyzing experiments.
With over 10,000 members from 145 countries, the Research Data Alliance (RDA) provides a neutral space to develop and adopt infrastructure that promotes data-sharing and data-driven research to enable the open sharing and re-use of data. RDA has a grass roots, inclusive approach covering all data lifecycle stages, engaging data producers, users and stewards, addressing data exchange, processing, and storage. Generic topics of its interest are social hurdles on data sharing, education and training challenges, data management plans and certification of data repositories, disciplinary and interdisciplinary interoperability, as well as technological aspects. The RDA is constituted of different elements, ...more
The Global Open Data for Agriculture and Nutrition (GODAN) conducted a virtual Workshop on December 11, 2020, to offer an opportunity to find out more about the Agricultural Data Codes of Conduct Toolkit and GODAN’s work on Data Ethics. The toolkit provides a guide to data management best practice for any individuals or organizations (farmers, agri-businesses, associations, regional or national governments…) who collect, manage or share agricultural data. The recording of the 90-minute workshop which gathered about 300 participants can be found here.