2 citations · 2 across the 3 of their papers we have counts for
3 papers
California Crop Yield Benchmark: Combining Satellite Image, Climate, Evapotranspiration, and Soil Data Layers for County-Level Yield Forecasting of Over 70 Crops
Hamid Kamangir, Mona Hajiesmaeeli, Mason Earles
California is a global leader in agricultural production, contributing 12.5% of the United States total output and ranking as the fifth-largest food and cotton supplier in the worl…
CMAViT: Integrating Climate, Managment, and Remote Sensing Data for Crop Yield Estimation with Multimodel Vision Transformers
Hamid Kamangir, Brent. S. Sams, Nick Dokoozlian +2
Crop yield prediction is essential for agricultural planning but remains challenging due to the complex interactions between weather, climate, and management practices. To address…
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Pranav Raja, Alex Olenskyj, Hamid Kamangir +1
Trait measurement is critical for the plant breeding and agricultural production pipeline. Typically, a suite of plant traits is measured using laborious manual measurements and th…