55 citations · 55 across the 2 of their papers we have counts for
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stat.AP2025
Precrop Payoffs: Causal machine learning reveals large but variable yield benefits of crop rotation in major breadbaskets
Dan M. Kluger, Stefania Di Tommaso, David B. Lobell
Building sustainable food systems that are resilient to climate change will require improved agricultural management and policy. One common practice that is well-known to benefit c…
stat.AP2021★ 55 cited
Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions
Dan M. Kluger, Sherrie Wang, David B. Lobell
Crop type mapping at the field level is critical for a variety of applications in agricultural monitoring, and satellite imagery is becoming an increasingly abundant and useful raw…