A multi-modal transformer trained on Landsat, climate, ET, and soil data reaches R²=0.76 for county-level yield forecasts of 70+ California crops on held-out test years 2021-2022.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops
A multi-modal transformer trained on Landsat, climate, ET, and soil data reaches R²=0.76 for county-level yield forecasts of 70+ California crops on held-out test years 2021-2022.