Open access
Sep 2026
Field Spectroscopy-Assisted Machine Learning Framework for Assessing Agroclimatic Effects on Paddy
A combined geospatial and machine learning system to estimate stage-based paddy yield stress during Kuruvai 2023 in the Thanjavur region using vegetation indices and agrometeorological variables revealed that reproductive-stage humidity, rainfall, and ripening-stage soil moisture were the most important yield drivers.
K. Karunakaran, K. Sudalaimuthu
· Journal of Agrometeorology · 0 citations