| Soil water content and high-resolution imagery for precision irrigation: Maize yield A de Lara, L Longchamps, R Khosla Agronomy 9 (4), 174, 2019 | 21 | 2019 |
| Characterizing spatial variability in soil water content for precision irrigation management A De Lara, R Khosla, L Longchamps Agronomy 8 (5), 59, 2018 | 21 | 2018 |
| Characterizing spatial variability in soil water content for precision irrigation management A De Lara, R Khosla, L Longchamps Advances in Animal Biosciences 8 (2), 418-422, 2017 | 5 | 2017 |
| Predicting site-specific economic optimal nitrogen rate using machine learning methods and on-farm precision experimentation A De Lara, T Mieno, JD Luck, LA Puntel Precision Agriculture 24 (5), 1792-1812, 2023 | 4 | 2023 |
| Causal Machine Learning to Estimate Maize Optimal Nitrogen Rate Using on-Farm Research and Remote Sensing A de Lara ASA, CSSA, SSSA International Annual Meeting, 2021 | | 2021 |
| Remote sensing and apparent electrical conductivity to characterize soil water content A de Lara Colorado State University, 2016 | | 2016 |
| Estimación de rendimiento de soja a través de imágenes Modis A de Lara Universidad de Buenos Aires, 2011 | | 2011 |
| Quantifying Spatial Variability of Wheat Response to Nitrogen Using on-Farm Precision Experimentation A de Lara, JD Luck, C Wu, LA Puntel ASA, CSSA and SSSA International Annual Meetings (2020)| VIRTUAL, 0 | | |
Longchamps LouisCornell UniversityVerified email at cornell.edu
