6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 6 cited
Integrating processed-based models and machine learning for crop yield prediction
Michiel G. J. Kallenberg, Bernardo Maestrini, Ron van Bree +4
Crop yield prediction typically involves the utilization of either theory-driven process-based crop growth models, which have proven to be difficult to calibrate for local conditio…
cs.LG2022★ 1 cited
Learning latent representations for operational nitrogen response rate prediction
Christos Pylianidis, Ioannis N. Athanasiadis
Learning latent representations has aided operational decision-making in several disciplines. Its advantages include uncovering hidden interactions in data and automating procedure…