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Cassman, K
Jimenez, A
Arnall, D
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Authors
Cassman, K
Mills, B
Brorsen, B
Arnall, D
Oliveira, M.F
Morata, G.T
Ortiz, B
Silva, R.P
Jimenez, A
Topics
Precision A-Z for Practitioners
Site-Specific Nutrient, Lime and Seed Management
Big Data, Data Mining and Deep Learning
Type
Oral
Poster
Year
2010
2018
2022
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Filter results3 paper(s) found.

1. Impact of Crop Yield Limits and Precision Agriculture on Global Food Security and Conservation of Natural Resources

blank... K. Cassman

2. The Profitability of Variable Rate Lime in Wheat

Grid sampling allows a variable rate of lime to be applied and has been marketed as a cost saver to producers. However, there is little research that shows if this precision application is profitable or not. Previous research on variable-rate lime has considered only a small number of fields. This paper uses soil sampling data from 170 fields provided by producers in Oklahoma and Kansas. We compare net returns of variable rate to uniform rate lime for grain only wheat production, dual-purpose... B. Mills, B. Brorsen, D. Arnall

3. Coupling Machine Learning Algorithms and GIS for Crop Yield Predictions Based on Remote Sensing Imagery and Topographic Indices

In-season yield prediction can support crop management decisions helping farmers achieve their yield goals. The use of remote sensing to predict yield it is an alternative for non-destructive yield assessment but coupling auxiliary data such as topography features could help increase the accuracy of yield estimation. Predictive algorithms that can effectively identify, process and predict yield at field scale base on remote sensing and topography still needed. Machine learning could be an alternative... M.F. Oliveira, G.T. Morata, B. Ortiz, R.P. Silva, A. Jimenez