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Nicolas Martin
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Modeling yield response to crop management using convolutional neural networks
A Barbosa, R Trevisan, N Hovakimyan, NF Martin
Computers and Electronics in Agriculture 170, 105197, 2020
952020
The data‐intensive farm management project: changing agronomic research through on‐farm precision experimentation
DS Bullock, M Boerngen, H Tao, B Maxwell, JD Luck, L Shiratsuchi, ...
Agronomy Journal 111 (6), 2736-2746, 2019
822019
Spatial variability of crop responses to agronomic inputs in on-farm precision experimentation
RG Trevisan, DS Bullock, NF Martin
Precision Agriculture 22, 342-363, 2021
642021
Associations between field characteristics and soybean plant performance using canonical correlation analysis
NF Martín, G Bollero, DG Bullock
Plant and Soil 273, 39-55, 2005
582005
Optimizing nitrogen management with deep reinforcement learning and crop simulations
J Wu, R Tao, P Zhao, NF Martin, N Hovakimyan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
382022
High-throughput phenotyping of soybean maturity using time series UAV imagery and convolutional neural networks
R Trevisan, O Pérez, N Schmitz, B Diers, N Martin
Remote Sensing 12 (21), 3617, 2020
312020
On to the next chapter for crop breeding: Convergence with data science
ES Ersoz, NF Martin, AE Stapleton
Crop Science 60 (2), 639-655, 2020
282020
Evaluation of survey and remote sensing data products used to estimate land use change in the United States: Evolving issues and emerging opportunities
M Wang, M Wander, S Mueller, N Martin, JB Dunn
Environmental Science & Policy 129, 68-78, 2022
252022
Future efficacy of pre‐emergence herbicides in corn (Zea mays) is threatened by more variable weather
CA Landau, AG Hager, PJ Tranel, AS Davis, NF Martin, MM Williams
Pest Management Science 77 (6), 2683-2689, 2021
192021
Experimental designs and estimation methods for on‐farm research: A simulation study of corn yields at field scale
CA Alesso, PA Cipriotti, GA Bollero, NF Martin
Agronomy Journal 111 (6), 2724-2735, 2019
192019
Optimizing crop management with reinforcement learning and imitation learning
R Tao, P Zhao, J Wu, NF Martin, MT Harrison, C Ferreira, Z Kalantari, ...
arXiv preprint arXiv:2209.09991, 2022
162022
Soil lead distribution in Chicago, USA
GP Watson, NF Martin, ZB Grant, SC Batka, AJ Margenot
Geoderma regional 28, e00480, 2022
132022
Understanding differences between static and dynamic nitrogen fertilizer tools using simulation modeling
G Mandrini, CM Pittelkow, SV Archontoulis, T Mieno, NF Martin
Agricultural Systems 194, 103275, 2021
132021
Modeling the economic and environmental effects of corn nitrogen management strategies in Illinois
G Mandrini, DS Bullock, NF Martin
Field crops research 261, 108000, 2021
132021
Multi-Stream CNN for spatial resource allocation: A crop management application
A Barbosa, T Marinho, N Martin, N Hovakimyan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
132020
Exploring trade-offs between profit, yield, and the environmental footprint of potential nitrogen fertilizer regulations in the us midwest
G Mandrini, CM Pittelkow, S Archontoulis, D Kanter, NF Martin
Frontiers in plant science 13, 852116, 2022
122022
Field‐specific yield response to variable seeding depth of corn in the Midwest
EG Coronel, CA Alesso, GA Bollero, KL Armstrong, NF Martin
Agrosystems, Geosciences & Environment 3 (1), e20034, 2020
122020
Implementation of a generalized additive model (Gam) for soybean maturity prediction in african environments
GS Marcillo, NF Martin, BW Diers, M Da Fonseca Santos, EP Leles, ...
Agronomy 11 (6), 1043, 2021
112021
Risk-averse optimization of crop inputs using a deep ensemble of convolutional neural networks
A Barbosa, N Hovakimyan, NF Martin
Computers and Electronics in Agriculture 178, 105785, 2020
112020
Design of on‐farm precision experiments to estimate site‐specific crop responses
CA Alesso, PA Cipriotti, GA Bollero, NF Martin
Agronomy Journal 113 (2), 1366-1380, 2021
102021
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Articles 1–20