Estimating soil mineral nitrogen from data-sparse field experiments using crop model-guided machine learning approach
Rishabh Gupta, Satya Krishna Pothapragada, Weihuang Xu, Prateek Kumar Goel, Miguel A. Barrera, Mira S. Saldanha, Joel B. Harley, Kelly T. Morgan, Alina Zare, Lincoln Zotarelli
This paper develops a hybrid model combining crop simulation and deep learning to estimate soil mineral nitrogen from sparse data, improving accuracy over traditional models.
Computers and Electronics in Agriculture · Aug 22, 2024Peer-reviewedPhysiology