Devising of an Efficient Multi-parametric System for Prediction of Crop Yield using Augmented Incremental Machine & Deep Learning Operations
Abstract:Agricultural research and management have become increasingly dependent on accurate crop yield forecasting. This paper introduces a comprehensive model that incorporates multiple parameters to predict crop yield with high levels of precision and accuracy. The applications of this research are extensive and consequential. Accurate crop yield forecasts can assist farmers, agronomists, and policymakers with resource allocation, crop selection, and land management decisions. Our model provides valuable insights fo… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.