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Genomics and Precision Agriculture
Precision Agriculture and Global Food Security
Small Holders and Precision Agriculture
Engineering Technologies and Advances
Precision Agriculture for Sustainability and Environmental Protection
Precision Nutrient Management
Remote Sensing Applications in Precision Agriculture
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Authors
Øvergaard, S
Adedeji, O
Al-Gaadi, K
Al-Gaadi, K.A
Alchanatis, V
Alchanatis, V
Allegro, G
Altobelli, F
Anderson-Guerrero, S
Ashworth, A
BHATTARAI, A
Backman, J
Badarch, L
Badgujar, P.D
Banzragch, B.M
Baroni, G
Basso, B
Bastos, L
Batzorig, E.M
Bazzi, C.L
Bean, G
Becker, M
Beitz, T
Belmont, K
Beneduzzi, H.M
Berry, P
Betzek, N.M
Bhandari, M
Billiot, B
Bonfil, D.J
Bonnardel, B
Bonomi, A
Bourouah, M
Brikman, R
Bruggeman, S
Buchleiter, G.W
Buchleiter, G.W
Büchele, D
C. Lopes, W
Caballero-Novella, J.J
Caballero-Novella, J.J
Caballero-Rodriguez, A.M
Camberato, J
Cammarano, D
Caras, T
Cardoso, G.M
Cardoso, T.F
Carneiro Amado, T.J
Carter, P
Casanova, J.L
Castro, S.G
Chagas, M.F
Chang, Y
Chang, Y.K
Cheema, M
Chen, C
Chen, L
Chen, L
Cho, W
Chok, S.E
Chudy, T
Chung, S
Clay, D.E
Clay, S
Cohen, A
Cohen, Y
Cohen, Y
Cointault, F
Cong, Y
Cong, Y
Conley, S
Constas, K
Corassa, G.M
D'Errico, A
D.C, H
D.C, H
Da Silva, J
Damdinpurev, N.M
Dar, Z
De Michele, C
Dong, J
Dong, J
Dong, J
Dong, Y
Dossou-Yovo, E.R
Dota, M.A
Dr., N
Dr., N
Dr., S
Drzazga, T
Duft, D.G
Dworak, V
Emamalizadeh, S
Esau, T.J
Esau, T.J
Farooque, A.A
Farooque, A.A
Ferguson, R.B
Fernandez, F.G
Filippetti, I
Fiorentino, C
Flippo, D
Foster, J
Fraile, S
Franco, H.C
Franco, H.C
Franzen, D.W
Fu, W
Fu, W
Fu, W
Furukawa, T
Fusamura, R
Gómez-Candón, D
Gómez-Candón, D
GOWDA, H.H
Gacek, E.S
Gao, N
Garcia-Torres, L
Garcia-Torres, L
Gavioli, A
Gebbers, R
Gebert, F.H
Ghansah, B
Ghimire, B.P
Gholizadeh, A
Gornushkin, I
Gouton, P
Gozdowski, D
Gozdowski, D
Grafton, M.C
Guo, W
Gutiérrez, V
Ha, T
Haley, S
Haley, S
Ham, W
Han-ya, I
Han-ya, I
Hassaballa, A.A
Hedley, C
Heggemann, T
Heil, K
Herrmann, I
Herrmann, I
Heuer, B
Holmes, G
Hongo, C
Honma, K
Horbe, T
Huang, W
Huang, W
Huang, W.M
Isaksson, T
Ishii, K
Ishii, K
Jackson, C
Jakhar, A
Jasper, J
Jiang, J
Johnson, J
Joshi, D
Jurado-Expósito, M
Jurado-Expósito, M
Kaboré, J.P
Kanda, R
Kang, C
Karn, R
Karnieli, A
Kaur, R
Kayad, A.G
Kersebaum, C
Kharel, T
Kholikulov, S
Khosla, R
Khosla, R
Khosla, R
Khuimphukhieo, I
Kim, D
Kim, H
Kinast, S
Kindred, D
Kisekka, I
Kitchen, N.R
Kodaira, M
Kodaira, M
Kodaira, M
Kodaira, M
Kombali, G
Korsaeth, A
Kumar R, M
Kumar R, M
Kumke, M
Kunnas, A
Kwon, H
López-Granados, F
López-Granados, F
Laboski, C
Lamb, D.W
Lati, R
Leenen, M
Lemcoff, H
Leszczyńska, E
Levi, A
Li, C
Li, C.M
Li, H
Li, Q
Li, Q
Li, Y
Longchamps, L
Longchamps, L
Longchamps, L
Lu, J
Luciano, A.C
Luck, J.D
Lupia, F
M. Rabello, L
Mackin, S
Madugundu, R
Magalhães, P.S
Magalhães, P.S
Maharjan, B
Mahns, B
Mailwald, M
Maiwald, M
Maki, M
Makkar, M.S
Marjerison, R
Markovits, T
Marshall, J
Mateus-Rodriguez, J.F
Mazzoleni, R
McClintick-Chess, J
McLellan, E
McMaster, G.S
McMaster, G.S
Mei, H
Melkonian, J
Meng, Z
Meng, Z
Meng, Z
Miao, Y
Miles, R.J
Miller, J
Mizgirev, A
Mochizuki, R
Mohd Soom, M
Moragues, M
Moragues, M
Mukherjee, J
Mulla, D
Mulla, D
Munar Vivas, O
Nadagouda, D
Nafziger, E
Nakagawa, Y
Namdarian, I
Naser, M.A
Naser, M.A
Nigon, T
Nigon, T.J
Nino, P
Nketia, K
Noguchi, N
Noguchi, N
Noorasma, S
Ohaba, M
Ohaba, M
Ohaba, M
Oki, K
Ortega, R
Osato, K
Ostermann, M
Owens, P
PATIL, B
PATIL, V.C
Pan, R
Pardaev, S
Paz Kagan, T
Peña-Barragán, J.M
Peña-Barragán, J.M
Percival, D
Percival, D.C
Piya, N.K
Portz, G
Prabhudeva, D
Pätzold, S
R. D. Pereira, R
REDDY, K.A
Randhawa, R
Ransom, C
Rasooli Sharabian, V
Ravindran, P
Reich, R
Reich, R
Reusch, S
Riebe, D
Roby, M
Romo, A
Rosen, C
Rosen, C
Rud, R
Rud, R
Rühlmann, J
Rühlmann, M
SHANWAD, U.K
Saberioon, M
Saito, K
Salokhe, D.M
Sama, M.P
Samborski, S.M
Samborski, S.M
Sanches, G.M
Sanches, G.M
Sanderson, J
Sano, M
Sanz, J
Sapkota, A
Sawyer, J
Scarpin, G.J
Scharf, P
Scheithauer, H
Schenatto, K
Schmid, T
Schumann, A
Schumann, A.W
Schwalbert, R
Scott, J.L
Sekhon, B.S
Sela, S
Shanahan, J
Shang, Y
Shapira, U
Sharda, A
Sharma, A
Sharma, D.B
Shearer, S.A
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shinde, G.U
Shirakawa, H
Shirakawa, T
Shirtliffe, S
Sigit, G
Silva, A.E
Singh, A
Son, J
Song, X
Souza, E.G
Sprintsin, M
Starek, M
Stephens, P
Stępień, M
Stępień, M
Su, B
Sugimoto, T
Sumpf, B
Suokannas, A
Swoboda, K
Sylvester-Bradley, R
T, S
T, S
Thies, S
Thimmegowda, M
Thind, S.K
Thompson, C
Tola, E
Townsend, P
Tumenjargal, E
V. de Sousa, R
Vanino, S
Vinzio, F
Visala, A
Vosberg, S
Vuolo, F
Wagner, P
Wallor, E
Walsh, O.S
Walsh, O.S
Walsh, O.S
Wang, H
Wang, J
Wang, J.M
Welp, G
Weltzien, C
White, M
Wieber, E.N
Wiseman, L
Wu, G
Xu, G
Xu, X.M
Xue, X
Y. Inamasu, R
Yahya, A
Yang, G
Yang, G
Yang, H.M
Yang, Q
Yang, X.M
Yoshida, K
Yule, I
Yule, I.J
Yun, H
Zainal Abidin, M.B
Zainal Abidin, M.B
Zaman, Q
Zaman, Q
Zaman, Q
Zhang, A
Zhang, C
Zhang, R
Zhao, C
cugnasca, C.E
deCastro, A.I
deCastro, A.I
giriyappa, M
giriyappa, M
van-Es, H
Topics
Remote Sensing Applications in Precision Agriculture
Precision Nutrient Management
Engineering Technologies and Advances
Precision Agriculture for Sustainability and Environmental Protection
Precision Agriculture and Global Food Security
Small Holders and Precision Agriculture
Genomics and Precision Agriculture
Type
Poster
Oral
Year
2012
2016
2024
2018
2022
Home » Topics » Results

Topics

Filter results62 paper(s) found.

1. Maturity Grape Indicators Obtained By Means Of Earth Observation Techniques

Wine producers often need to buy grapes from growers. A good selection of grapes allows obtaining the desired wine quality. This paper presents a procedure to obtain by means of earth observation techniques indices and parameters used in the Spanish vineyards to monitor the state of the grapes. In this way is possible to monitor the ripeness of the grapes or the best time to harvest in such a way that growers can get the highest quality grapes, while producers of wine can select the most appr... J. Sanz, A. Romo, J.L. Casanova, S. Fraile

2. Implementation of ECU For Agricultural Machines Based On IsoAgLib Open Source

In this paper work, we consider implementation of electronic control unit (ECU) for agricultural machineries. Software implementation is based on IsoAgLib library developed by OSB&IT Engineering Company. We modify IsoAgLib and upgrade it for our target system. The IsoAgLib is an object oriented C++ library that has the communication services and management systems according to the ISO 11783 standard. This library allows building ISOBUS compatible equipment without the protocols implementa... E. Tumenjargal, L. Badarch, W. Ham, H. Kwon

3. Spectral Models for Estimation of Chlorophyll Content, Nitrogen, Moisture Stress and Growth of Wheat Crop

  Field  experiments  were  conducted  during  2009-10  and  2010-11 at  research  farm  of the department of Farm Machinery and Power Engineering, Punjab Agricultural university, Ludhiana.  Three w... B.S. Sekhon, J. Mukherjee, A. Sharma, S.K. Thind, R. Kaur, M.S. Makkar

4. An RFID-Based Variable Rate Technology Fertilizer Applicator for Plantation Tree Crops

Currently, in the Malaysian tree crop plantation, fertilizer is applied manually or mechanically at uniform rate without due consideration to nutrient variability. Potential wastage and excessive application of this fertilizer contaminates ground water and raises its mineral contents above the World Health Organization (WHO) limit for safe drinking water. However, Variable Rate Technology (VRT) fertilizer application promotes Green Engineering practice by reducing excessive fertilizer ap... A. Yahya

5. Computer Aided Engineering Analysis and Design Optimization for Precision Manufacturing of Tillage Tool: Sweep Cultivator

The process optimization in advance tillage tool system conceptually designed and fabricated by computer aided engineering analysis techniques. The Software testing a field performance is taken in the soil bed preparation as well as in the various crop patterns. It was found most use full in obtaining high weed removal efficiency. The precision geometry, optimum energy utilization, multi-operational design, easy transport and flexible attachments are some of the features which results in achi... G.U. Shinde, D.M. Salokhe, P.D. Badgujar, D.B. Sharma

6. Exploiting the Dmc Satellite Constellation for Applications in Precision Agriculture

This paper presents the unique capabilities of the DMC constellation of optical sensors, and examples of how a number of organisations around the world are exploiting this powerful data source for applications in precision farming. The DMC consists of five satellites built in the UK by Surrey Satellite Technology Ltd, each carrying a wide swath (650km) optical sensor. It is an international programme of satellite ownership and groundstations, with joint campaigns being coordinated c... P. Stephens, S. Mackin, G. Holmes

7. Potential of Visible and Near Infrared Spectroscopy for Prediction of Paddy Soil Physical Properties

A fast and convenient soil analytical technique is needed for soil quality assessment and precision soil management. The main objective of this study was to evaluate the ability of Visible (Vis) and Near-infrared Reflectance Spectroscopy (NIRS) to predict paddy soil physical properties in a typical Malaysian paddy field. To assess the utility of spectroscopy for soil physical characteristics prediction, we used 118 soil samples for laboratory analysis and optical measurement in the Vis-NIR re... A. Gholizadeh, M. Saberioon, M. Mohd soom

8. Can Active Sensor Based NDVI Consistently Classify Wheat Genotypes?

ABSTRACT ... M.A. Naser, R. khosla, S. Haley, R. Reich, L. Longchamps, M. Moragues, G.W. buchleiter, G.S. Mcmaster

9. Variation in Nitrogen Use Efficiency for Multiple Wheat Genotypes across Dryland and Irrigated Cropping Systems

ABSTRACT ... M.A. Naser, R. Khosla, R. Reich, S. Haley, L. longchamps, M. Moragues, G.W. buchleiter, G.S. Mcmaster

10. Automatic Remote Image Processing For Agriculture Uses Through Specific Software

Abstract ... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, F. López-granados, L. Garcia-torres, A.I. Decastro

11. Position Error of Input Prescription Map Delineated From Remote Images

     The spatial variability of biotic fact... D. Gómez-candón, J.J. Caballero-novella, J.M. Peña-barragán, M. Jurado-expósito, L. Garcia-torres, F. López-granados, A.I. Decastro

12. Adaptive Sensor Fusion Method for Agricultural and Environmental Monitoring

Environmental and agricultural monitoring involves continuous observation in areas such as grains crop, in order to evaluate changes in the environment. Wireless Sensor Networks may be employed in th... C.E. Cugnasca, M.A. Dota

13. Comparing Sensing Platforms for Crop Remote Sensing

Remote sensing offers the possibility to obtain a rapid and non-destructive diagnosis of crop health status. This gives the opportunity to apply variable rates of fertilizers to meet the actual crop needs at every locations of the field. However, the commonly used normalized difference vegetation index (ND... R. Khosla, L. Longchamps

14. Estimation of Soil Moisture from RADARSAT-2 Multi-Polarized SAR Data over Wheat Fields

Guijun Yanga... G. Yang

15. Optimization of Forage Harvesting By Automatic Speed Control and Additive Application

Efficient use of machines is especially important in forage harvesting due to the short harvesting period and expensive machinery. To achieve the best efficiency, a harvesting machine, such as a loader wagon, should be used with optimal loading. Whereas overloading the machine can cause blockages in the cut-and-feed unit, underloading consumes more time and reduces the quality of the resulting silage. In addition, the quality can be improved by optimizing the dosage of the additive. Since the... A. Suokannas, J. Backman, A. Visala, A. Kunnas

16. Estimation of Rice Yield from MODIS Data in West Java, Indonesia

Chiharu Hongo1*, Takaaki Furukawa1, Gunardi Sigit2, Masayasu Maki3, Koki Honma3,... C. Hongo, T. Furukawa, G. Sigit, M. Maki, K. Honma, K. Yoshida, K. Oki, H. Shirakawa

17. Ground Level Hyperspectral Imagery For Weeds Detection In Wheat Fields

Weeds are a severe pest in agriculture resulting in extensive yield loss. Applying precise weed control has economical as well as environmental benefits. Combining remote sensing tools and techniques with the concept of precision agriculture has the potential to automatically locate and identify weeds in order to allow precise control. The objective of the current work is to detect ... D.J. Bonfil, U. Shapira, A. Karnieli, I. Herrmann, S. Kinast

18. Estimation of Leaf Nitrogen Concentration in Barley with In Situ Hyperspectral Measurements

Leaf nitrogen concentration (LNC), a good indicator of nitrogen status in crop, is of special significance to diagnose nutrient stress and guide nitrogen fertilization in fields. Due to its non-destructive and quick advantages, hyperspectral remote sensing plays a unique r... J.M. Wang, C.M. Li, X.M. Yang, W.M. Huang, H.M. Yang, X.M. Xu

19. Study on Water Distribution Measurement in Sand Using Sound Vibration

... T. Sugimoto, T. Shirakawa, M. Sano, M. Ohaba, S. Shibusawa, Y. Nakagawa

20. Applications for Precision Agriculture: the Italian Experience of SIRIUS Project

    This paper reports the results of the project SIRIUS (Sustainable Irrigation water management and River-ba... P. Nino, S. Vanino, F. Lupia, F. Altobelli, F. Vuolo, I. Namdarian, C. De michele

21. Appropriate Wavelengths for Winter Wheat Growth Status Based On Multi-Spectral Crop Reflectance Data

One of the applications of remote sensing in agriculture is to obtain crop status for estimation and management of variable rate of inputs in the crop production. In order to select the appropriate wavelengths relat... I. Han-ya, K. Ishii, N. Noguchi, V. Rasooli sharabian

22. Measuring Error on Working Depth of Real-time Soil Sensor

This paper described about the measuring error on working depth of the Real-time soil sensor (RTSS). It is necessary for accurately evaluating to observe the variation on the working depth, because the RTSS run in various real field conditions, such as soft or hard and even or uneven, and the RTSS has various using objective. In this paper, the RTSS run on asphalt with steps while the three-point hitch was free and position-controlled. In position-controlled, the measuring depth that is ... R. Kanda, M. Kodaira, S. Shibusawa

23. Assessment of Land Use Changes in Dirab Region of Saudi Arabia Using Remotely Sensed Imageries

A thorough knowledge of land use changes is important for planning and management activities of land resources.  Moreover, it is considered ... K.A. Al-gaadi

24. Remote NIR-Sensor Fusion with Weather Data for Improved Prediction of Wheat Yield Models

Prediction models for grain yield based on remote sensing data are commonly shown to perform reasonably well for one single cropping season. The model performances often drop, however, when data from more years is included. This may be caused by biased data, resulting from diverging growth conditions from year to year, which a... T. Isaksson, A. Korsaeth, S. Øvergaard

25. Soil Resource Appraisal towards Land use Planning Using Satellite Remote Sensing and GIS – A Case Study in Medak Nala Watershed in Northern Karnataka, India

In precision farming, knowledge of spatial variability in soil properties is important. The soil map shows soil series and phases like stoniness, gravelliness, salinity, sodicity... V.C. Patil, H.H. Gowda, K.A. Reddy, U.K. Shanwad

26. 3D Acquisition System Applied to Agronomic Scenes

To enable a better decision making by the farmer in order to optimize the crop management, it is essential to provide a set of information on basic parameters of the crops. These information are numerous and the image processing is increasingly used for disease detection, weed detection or yield estimation. We will focus initially on assessing the yield of a wheat crop in automatic way. This yield is directly related to the number of ears per square meter for which the counting is curren... F. Cointault, P. Gouton, B. Billiot

27. Remote Sensing Imagery Based Agricultural Land Pattern Extraction around Miyajimanuma Wetland

This research aimed to extract agricultural land use pattern around the Miyajimanuma wetland, Hokkaido, Japan. By combining the image segmentation technology - watershed transform and image classification technology- particle swarm optimization (PSO)-k-means based minimum distance classifier, a new method for extracting the agricultural land use information ... R. Mochizuki, I. Han-ya, N. Noguchi, B. Su, K. Ishii

28. Water Distribution Response in a Soil-Root System for Subsurface Precision Irrigation

A subsurface capillary irrigation system with a water source buried in a soil has been developed for precision irrigation. This system has advantages in the efficient irrigation to save much water and the real time measurement of evapotranspiration of plants. Creating this new subsurface capilla... S. Shibusawa, M. Ohaba, M.B. Zainal abidin, M. Kodaira, Q. Li

29. Estimating Crop Leaf Area Index from Remotely Sensed Data: Scale Effects and Scaling Methods

Leaf area index (LAI) of crop canopies is significant for growth condition monitoring and crop yield estimation, and estimating LAI based on remote sensing observations is the normal way to assess regional crop growth. However, the scale effects of LAI make multi-scale observations harder to be fully and effectively utilized for LAI estimation. A systematical statistical str... Y. Dong , J. Wang , C. Li , G. Yang, X. Song, W. Huang

30. Probabilistic Relational Model-based Scheduling Approach for Farmland Soil Sensor Network

  Energy efficiency is one of the core issues of farmland soil sensor network (FSSN). For battery powered FSSN, the energy constraint restricts lifetime of WSN, which poses great challenged to its large scale application. Prior work has suggested approaches to optimize the RF module and communication protocols to reduce power consumption of FSSN. Although shown to be ef... L. Chen, R. Zhang, G. Xu

31. Design Of A Data Acquisition System For Weighing Lysimeters

The weighing lysimeter is an important tool for scientists to con... C. Zhang, X. Xue, L. Chen, W. Huang

32. Study on Monitoring System of Wheat Sowing

       In order to real-time monitoring the sowing status of the multi-channel seeder, a distributed monitoring system is developed. The monitoring module of sowing and the monitoring terminal is designed with ... W. Fu, Z. Meng, G. Wu, J. Dong, H. Mei, C. Zhao

33. Monitoring Drought Stress Index in Wheat Field of Mongolia Using Remote Sensing

Water stress during crop growth, even during short periods of a couple of weeks, is a major cause of yield reduction. The complexity in defining the magnitude of such water stress is due to diversity of crops grown in a given location, variability in soil type and conditions, spatial variability of rainfall, delay in timely of agriculture, and diversity in crop management practices. The problem associated with drought ... B.M. Banzragch, N.M. Damdinpurev, E.M. Batzorig

34. Hyperspectral Imagery for the Detection of Nitrogen Stress in Potato for In-season Management

... T.J. Nigon, C. Rosen, D. Mulla, Y. Cohen, V. Alchanatis, R. Rud

35. Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to ev... Y. Cohen, V. Alchanatis, B. Heuer, H. Lemcoff, M. Sprintsin, C. Rosen, D. Mulla, T. Nigon, Z. Dar, A. Cohen, A. Levi, R. Brikman, T. Markovits, R. Rud

36. Spray Pattern and Droplet Spectra Characteristics from an Actively Controlled Variable-Orifice Nozzle

... M.P. Sama, S.A. Shearer, J.D. Luck

37. Spot- Application of Pre-Emergence Herbicide Using a Variable Rate Sprayer in Wild Blueberry

Wild blueberry producers apply herbicides uniformly to control grasses and weeds without considering the significant weed density variability and bare spots within fields. The repeated and excessive use of ... Q. Zaman, Y. Chang, A. Farooque, A. Schumann, D. Percival, M. Cheema, T. Esau

38. Development of Sensing System Using Digital Photography Technique for Spot-Application of Herbicide in Wild Blueberry Fields

An automated sensing system, hardware and software, was developed for spot-application of herbicide with 6.1 m boom automated prototype spraye... Q. Zaman, T.J. Esau, A.A. Farooque, A.W. Schumann, D.C. Percival, Y.K. Chang

39. Implementation of a Controller Unit Based on the ISO 11783 Standard for Automatic Measurement of the Electrical Conductivity of the Soil

... L. M. rabello, R. R. d. pereira, W. C. lopes, R. Y. inamasu, R. V. de sousa

40. Adaptive Control of Capillary Water Flow Under Modified Subsurface Irrigation Based on a SPAC Model

Soil moisture in a rhizosphere of a tomato is controlled adaptively based on a simple soil-plant-atmosphere continuum (SPAC) model. The water flow from a soil through a plant to the atmosphere is governed by the analogous rule of the SPAC model. In our experiment, we assume that plant transpiration is only affected by the water-potential of air when the soil m... M. Ohaba, M.B. zainal abidin, Q. Li, S. Shibusawa, M. Kodaira, K. Osato

41. Farmer Uptake of Variable Rate Irrigation Technologies in New Zealand

Cost effective technological advances in recent years have allowed the uptake of variable rate irrigation (VRI) systems in New Zealand. Typically an existing sprinkler irrigator is modified for variable rate irrigation, irrigation management zones are defined using EM (ele... C. Hedley, I. Yule

42. An Approach to Making Non-Smell Composting System : Case Study in Fuchu

The project to form ... R. Fusamura, S. Shibusawa, M. Kodaira

43. Understanding Spatial and Temporal Variability of Wheat Yield: An Integrated System Approach

Spatial variation in soil water and nitrogen are often the causes of crop yield spatial variability due to their influence on the uniformity of plant stand at emergence and for in-season stresses. Natural and acquired variability in production capacity or potential within a field causes uniform agronomic management practices for the field to be correct in some parts and inappropriate in others. To ... B. Basso, C. Fiorentino, D. Cammarano, A. D'errico

44. Development of Variable Rate Applicators Using Real-Time Machine Vision Sensing and Control System for Spot-Application of Agrochemicals

The variable rate applicators comprised of a real-time sensing and control system were developed and tested for spot-application of agrochemicals (fertilizer and pesticides). ... Q. Zaman

45. Spectral Characterization to Discriminate Grass Weeds from Wheat Crop Using Remote Sensing and GIS for Precision Agriculture and Environmental Sustainability

Kaur, Ramanjit, Mahey RK, Mahal JS, Kingra PK and Kaur Pukhraj ... R. Randhawa

46. Studies on Soil Spatial Variability and Its Impact on Cane Yield Under Precision Nutrient Management System

In present investigation an attempt was made to quantify the soil variability of 30 grids of 10 m x 10 m dimension at research farm of Nandi Sahakari Sakkare Karkhane (NSSK), Krishna Nagar, District. Bijapur. Each grid (10 m x 10 m) showed variation with available nitrogen as low as 140 kg ha-1 to as high as 245 kg/ha with a range of 105 kg/ha, phosphorus as low as 53 kg P2O5 ha-1 and as high as 89.3 kg P2O5 ha-1 wit... M. Kumar r, M. Kumar r, D. Nadagouda

47. Winter Wheat Genotype Effect on Canopy Reflectance: Implications for Using NDVI for In-season Nitrogen Topdressing Recommendations

Active optical sensors (AOSs) measure crop reflectance at specific wavelengths and calculate vegetation indices (VIs) that are used to prescribe variable N fertilization. Visual observations of winter wheat (Triticum aestivum L.) plant greenness and density suggest that VI values may be genotype specific. Some sensor systems use correction coefficients to eliminate the effect of genotype on VI values. This study was conducted to assess the effects of winter wheat cultivars and growing conditi... O.S. Walsh, S.M. Samborski, M. Stępień, D. Gozdowski, D.W. Lamb, E.S. gacek, T. Drzazga

48. On-Farm Evaluation of an Active Optical Sensor Performance for Variable Nitrogen Application in Winter Wheat

Winter wheat (Triticum aestivum L.) represents almost 50% of total cereal production in the European Union, accounting for approximately 25% of total mineral nitrogen (N) fertilizer applied to all crops. Currently, several active optical sensor (AOS) based systems for optimizing variable N fertilization are commercially available for a variety of crops, including wheat. To ensure successful adoption of these systems, definitive measurable benefits must be demonstrated. Nitrogen management str... O.S. Walsh, S.M. Samborski, D. Gozdowski, M. Stępień, E. Leszczyńska

49. UAV-based Crop Scouting for Precision Nutrient Management

Precision agriculture – is one of the most substantial markets for the Unmanned Aerial Vehicles (UAVs). Mounted on the UAVs, sensors and cameras enable rapid screening of large numbers of experimental plots to identify crop growth habits that contribute to final yield and quality in a variety of environments. Wheat is one of the Idaho’s most important cereal crops grown in 42 of 44 Idaho counties. We are working on establishing a UAV-based methodology for in-season prediction of w... O.S. Walsh, K. Belmont, J. Mcclintick-chess, J. Marshall, C. Jackson, C. Thompson, K. Swoboda

50. Integrated Approach to Site-specific Soil Fertility Management

In precision agriculture the lack of affordable methods for mapping relevant soil attributes is a funda­mental problem. It restricts the development and application of advanced models and algorithms for decision making. The project “I4S - Integrated System for Site-Specific Soil Fertility Management” combines new sensing technologies with dynamic soil-crop models and decision support systems. Using sensors with different measurement principles improves the estimation of soil f... R. Gebbers, V. Dworak, B. Mahns, C. Weltzien, D. Büchele, I. Gornushkin, M. Mailwald, M. Ostermann, M. Rühlmann, T. Schmid, M. Maiwald, B. Sumpf, J. Rühlmann, M. Bourouah, H. Scheithauer, K. Heil, T. Heggemann, M. Leenen, S. Pätzold, G. Welp, T. Chudy, A. Mizgirev, P. Wagner, T. Beitz, M. Kumke, D. Riebe, C. Kersebaum, E. Wallor

51. Adjustment of Corn Population and Nitrogen Fertilization Based on Management Zones

The main objective of this study was to adjust the corn population and nitrogen fertilization according to management zones, based on past grain yield maps (seven of soybean and three of corn) and soil electrical conductivity. The study was carried out in Não-Me-Toque, Rio Grande do Sul, Brazil, and it was conducted in a factorial strip blocks with 3 repetitions in each management zone, being the treatments: corn populations (56000, 64000, 72000, 80000 and 88000 plants ha-1)... R. Schwalbert, T.J. Carneiro amado, T. Horbe, G.M. Corassa, F.H. Gebert

52. Towards Precision Microbiology

In the recent years, the use of organic matter (OM) and microorganisms is increasing beyond organic agriculture, into conventional horticultural systems, in order to achieve high yields and quality through a more sustainable soil management. Thus, Integrated Nutrient Management (INM), that includes the use of diagnostic tools, high quality OM, microbial inoculants, highly-efficient fertilizer, and site-specific management in gaining space in intensive production systems. Precision m... V. Gutiérrez, R. Ortega

53. An Automatic Control Method Research for 9YG-1.2 Large Round Baler

When manual or semi-automatic round baler working, the tractor driver have to frequently manual the machine according to the bale process at the same time of driving. The driver easily feel fatigue in this operating mode for a long time, so the consistency of the bale’s density can not be guaranteed. And there may be wrong operation. In this article, we use the model 9YG-1.2 large round baler as a research prototype. We study the information collection and processing of the baler’... J. Dong, Z. Meng, Y. Cong, A. Zhang, W. Fu, R. Pan, Q. Yang, Y. Shang

54. Exploring Tractor Mounted Hyperspectral System Ability to Detect Sudden Death Syndrome Infection and Assess Yield in Soybean

Pre-visual detection of crop disease is critical for both food and economic security. The sudden death syndrome (SDS) in soybeans, caused by Fusarium virguliforme (Fv), induces 100 million US$ crop loss, per year, in the US alone. Field-based spectroscopic remote sensing offers a method to enable timely detection, but still requires appropriate instrumentation and testing. Soybean plants were measured at canopy level over a course of a growing season to assess the capacity of spectral measure... I. Herrmann, S. Vosberg, P. Ravindran, A. Singh, P. Townsend, S. Conley

55. Development of Farmland-Terrain Simulation System for Consistency of Seeding Depth

A farmland-terrain simulation system suitable for rugged topography was designed to study the irregularities of farmland surface morphology led by both topographic fluctuation and terrain tilt. The system consists of terrain simulation mechanism, hydraulic system, control system, etc. The terrain simulation mechanism is connected to the rack through hydraulic cylinder to simulate farmland surface fluctuation. The hydraulic system controls the hydraulic cylinder to drive the terrain simulation... W. Fu, J. Dong, Y. Cong, N. Gao, Y. Li, Z. Meng

56. Effect of Composts Prepared from Municipal Solid Waste in the Agrochemical Properties of Serosem Soils of Uzbekistan

Optimizing soil fertility and agro-chemical soil properties are currently of great importance, since the content of humus and nutrients from year to year decreases. The reason for decline of soil fertility is the lack of organic fertilizers and use of crop rotation involving leguminous perennial herb. On the other hand a source of organic fertilizer can be municipal solid waste. Currently in the cities of Uzbekistan accumulated huge amount of solid waste whose disposal is an environmental nec... S. Kholikulov, S. Pardaev

57. Low Cost Smartphone Camera Accessory to Digitally Measure Leaf Color for Crop Nitrogen Status Assessment

Crop nitrogen (N) status is a desirable information for crop nutrition management. In addition to the traditional leaf sampling with subsequent laboratory analysis, the use of chlorophyll meters is a well-studied and accepted practice to indirectly measure crop N status. Nevertheless, chlorophyll meters are dedicated devices that still cost at least a few hundred dollars, thus being unsuitable to large scale use among low budget smallholders. Aiming to address this issue, a new low cost smart... G. Portz, S. Reusch, J. Jasper

58. Eco-friendly LiDAR Drone Surveying for Sugarcane Land Leveling in the Cauca River Valley, Colombia

Land leveling is a crucial process in sugarcane cultivation in the Cauca River Valley. It plays a vital role in ensuring proper water flow within the fields, reducing fuel consumption for water pumping, promoting seed emergence, and facilitating other mechanized tasks that can be carried out more quickly and efficiently. Traditionally, land leveling involves the use of high-powered tractors (typically around 310 horsepower) equipped with high-precision topographic survey systems fro... S. Anderson-guerrero, A.M. Caballero-rodriguez, O. Munar vivas, J.F. Mateus-rodriguez

59. System Development for Application and Testing of Spray-on Biodegradable Mulch

Plastic mulch films have long been a staple in agriculture and plays a critical part in the specialty crop production. Plastic mulch provides benefits such as conserving soil moisture, suppress weed growth and increase soil temperature. However, the widespread use of petroleum based plastic mulch films have raised concerns due to challenges associated with their removal and environmental impact. Plastic mulch has to be removed after every growing season. During the removal process, microplast... N.K. Piya, A. Sharda, D. Flippo

60. Estimating Spatial and Temporal Variability in Soil Respiration Using UAV-based Multispectral and Thermal Images in an Irrigated Pistachio (Pistachia Vera L.) Orchard

Soil respiration (Rs) accounts for the autotrophic and heterotrophic respiration happening in the soil and is a major component of the carbon budget of agricultural ecosystems. Rs is controlled by various interactive factors, including soil moisture, temperature, soil properties, and vegetation productivity. To quantify the carbon budget of climate-smart agriculture systems, it is necessary to understand how irrigation and cover cropping management practices impact... A. Sapkota, M. Roby, C. Chen, I. Kisekka

61. Evaluating the Impact of Irrigation Rate, Timing, and Maturity-based Cotton Cultivars on Yield and Fiber Quality in West Texas

In West Texas, effective irrigation is crucial for sustainable cotton production given the water scarcity from the declining Ogallala aquifer and erratic rainfall patterns. A three-year study (2020-2022) investigated irrigation rate and timing effects on early to mid-season cotton maturity groups. Five treatments, including rainfed (W1 or LLL) and variations in irrigation rates at growth stages (P1 to P4), were applied. Evaluation involved six to seven cotton cultivars from four maturity grou... O. Adedeji, R. Karn, B.P. Ghimire, W. Guo, E.N. Wieber

62. Comparing Proximal and Remote Sensors for Variable Rate Nitrogen Management in Cotton

Sensing and variable rate technology are becoming increasingly important in precision agriculture. These technologies utilize sensors to monitor crop growth and health, enabling informed decisions such as diagnosing nitrogen (N) stress and applying variable rates of N. Sensor-based solutions allow for customized N applications based on plant needs and environmental factors. This approach has led to notable reductions in N application rates, minimized N losses by improving N use efficiency (NU... A. Bhattarai, A. Jakhar, L. Bastos, G.J. Scarpin