no code implementations • 13 May 2024 • Ariel Ortiz-Bobea, Robert G. Chambers, Yurou He, David B. Lobell
Increasing agricultural productivity is a gradual process with significant time lags between research and development (R&D) investment and the resulting gains.
1 code implementation • 17 Nov 2021 • Joshua Fan, Junwen Bai, Zhiyun Li, Ariel Ortiz-Bobea, Carla P. Gomes
As far as we know, this is the first machine learning method that embeds geographical knowledge in crop yield prediction and predicts the crop yields at county level nationwide.
no code implementations • 25 May 2021 • Ariel Ortiz-Bobea
This chapter provides an overview of recent advancements in the analysis of climate change impacts and adaptation in agriculture with an emphasis on methods.
no code implementations • 20 Jul 2020 • Ariel Ortiz-Bobea, Toby R. Ault, Carlos M. Carrillo, Robert G. Chambers, David B. Lobell
Agricultural research has fostered productivity growth, but the historical influence of anthropogenic climate change on that growth has not been quantified.