R Shiny Workshop

Description:

This 2-3 hour workshop will instruct the participants on the use of R Shiny Apps.

 

This is an R software package that can be implemented with the aim of developing interactive tools.

 

It doesn't matter if it is a simple web application that does just a couple of simple calculations or a complex application that processes and stores data, this promising package will allow us to achieve these results.

 

In this workshop, we aim to help researchers and practitioners understand the basics of creating a simple R Shiny application with geospatial data, providing the opportunity to transform this static data into interactive web tools and applications with practical applications for users.

---

Workshop Session Time: 

This workshop will take place from 2:00pm - 4:00pm on Sunday, 21 July 2024.

---

Instructors:

Ignacio Ciampitti, Carlos Hernandez, Gustavo Santiago, Pedro Cisdeli

---

 

Carlos Hernandez

Carlos Hernandez was born in the city of Rio Cuarto, Argentina. During his undergraduate career he obtained his degree in agronomist engineering from the National University of Río Cuarto, Argentina. During his professional career he has been part of various work teams as an advisor on applied technologies and precision agriculture, providing support to farmers in both the academic and private sectors in various companies. Over the past few years he has reinforced his knowledge of geospatial technologies and topics such as predictive agriculture, data science and artificial intelligence. Currently its focus is on the research and development of algorithms and data products that can help farmers in the decision-making process such as the estimation of quality maps in soybeans or the analysis of nitrogen dynamics in the cropping system.

 

Pedro Cisdeli

I'm a software developer and machine learning engineer currently @CiampittiLab, focusing on developing solutions for agronomy and helping bridge the gap between the field and technology.

Bayesian Modeling for Agricultural Data

Bayesian models are now used for applied data analysis almost as regularly as classic methods such as t-tests, regression, and ANOVA. Data generated from agricultural systems, whether from a designed experiment, on-farm trials, or opportunistic observations, can benefit from using Bayesian models. Bayesian statistics enables researchers to build bespoke statistical models tailored to the specific research question or application. Furthermore, Bayesian models enable fully probabilistic and statistically valid inference not only on model components (e.g., slope parameters) but also on other indirect quantities of interest (e.g., probability yield is below a certain threshold). In this workshop, we aim to enable practitioners to understand the basics of Bayesian models, demystify standard Bayesian techniques such as Markov chain Monte Carlo, and provide real-world, hands-on agricultural data examples where Bayesian models enable new and essential insights.

Workshop Session Time: 

This workshop will take place from 2:00pm - 4:00pm on Sunday, 21 July 2024.

Instructors:

Dr. Trevor Hefley, Dr. Josefina Lacasa, Francisco Palmero

GIS-based Spatial Interpolation Methods

21 July 2024

Modern GIS software allows users to apply a range of spatial analysis models across a spectrum of analytical sophistication from simple (but informative) descriptive statistics to powerful explanatory models. In this workshop, we’ll examine spatial interpolation methods as one approach to predictive modeling that helps practitioners determine the value of an important agricultural or environmental variable where it hasn’t been measured using a control point dataset of known values recorded at specific locations. Spatial interpolation methods can be categorized broadly into deterministic and geostatistical approaches. We will explore techniques within each category to better understand their purpose, appreciate their strengths and weaknesses, and how to evaluate which technique is best for a given modeling scenario. Learning will take place for two one-hour studio sessions featuring both lecture discussion and practical hands-on work. A final practical exercise will be used to reinforce concepts and allow participants to work independently with a new dataset to produce predictions with cross-validated model performance metrics.

Workshop Session Time:

This workshop will take place from 9:00am - 12:00pm on Sunday, 21 July 2024.

Instructors:

Dr. Shawn Hutchinson, Carlos Hernandez, Dr. Trevor Hefley

Carlos Hernandez

Carlos Hernandez was born in the city of Rio Cuarto, Argentina. During his undergraduate career he obtained his degree in agronomist engineering from the National University of Río Cuarto, Argentina. During his professional career he has been part of various work teams as an advisor on applied technologies and precision agriculture, providing support to farmers in both the academic and private sectors in various companies. Over the past few years he has reinforced his knowledge of geospatial technologies and topics such as predictive agriculture, data science and artificial intelligence. Currently its focus is on the research and development of algorithms and data products that can help farmers in the decision-making process such as the estimation of quality maps in soybeans or the analysis of nitrogen dynamics in the cropping system.

Object Detection 101: A Data-to-Deployment Workshop

21 July 2024

Machine learning, specifically deep learning approaches, can be useful to detect, classify, and segment different objects using imagery collected from different devices. Currently, this technology is rapidly growing, and the need to address different agricultural tasks without intense labor can be solved with automation using deep learning. For example, different detection models including in the YOLOv5 family can exceed in detecting small and big objects. This beginner-friendly crash course on developing deep learning models objects in agricultural spaces will equip you with essential skills to harness the power of object detection in the context of precision agriculture. In this workshop you will understand the basics of collecting high-quality data using sensors on mobile devices but with pathways to adopt similar strategies to data collected from drones, satellites, and ground-based sensors. Participants will also explore the capabilities of cutting-edge, open-source software like Roboflow to build your initial object detection models through hands-on activities and will gain practical experience in developing and fine-tuning object detection models. Participants will also learn how these tools are currently applied in addressing real-world challenges in precision agriculture and integrated into robotic systems, such as pest and disease detection, sense-and-spray technologies, yield estimation, and crop health monitoring.

Workshop Session Time:

This workshop will take place from 10:00am - 12:00pm on Sunday, 21 July 2024.

Instructors:

Dr. Ivan Grijalva, Dr. Brian Spiesman, Dr. Brian McCornack

Ivan Grijalva

Ivan Grijalva is a Postdoctoral Researcher in Entomology at Kansas State University. He obtained his Ph.D. in Entomology from Kansas State University, specializing in Integrated Pest Management and Digital Agriculture. Additionally, he holds a certification in Geographic Information Systems. His research employs machine learning and digital agricultural tools to automate pest management strategies. He is particularly interested in using computer vision models to detect insects by remote sensors and robotics. Presently, Grijalva is engaged in various digital agriculture projects, such as developing models for aphid detection in sorghum and using drone technology for Japanese beetle detection in soybeans. He has authored several research articles in various journals, focusing on implementing computer vision models to automate insect detection. These contributions are significant for advancing automation within Entomology and related disciplines.

Agriculture Robotics 101: “From Sub-Systems to Integration"

Workshop Session Time: 

This workshop will take place from 10:00am - 12:00pm on Sunday, 21 July 2024.

Instructors:

Dr. Ajay Sharda, Harsha Cheppally, Jose Persch, Nirajan Piya