Harnessing Machine Learning Techniques for Forecasting Crop Yields under Changing Climatic Conditions
Sarmistha Borgohain & Chayanika Nath Abstract: Global agriculture is facing increasing uncertainty due to climatic variability, which significantly affects crop growth and productivity. Accurate crop yield prediction under changing environmental conditions has become essential for ensuring food security and sustainable agricultural development. Traditional statistical and mechanistic models have been extensively Read more