A Bibliometric Analysis of Machine Learning Techniques for Predicting Crop Yield
Anuj Mehla,
Sukhvinder Singh Deora
Abstract:Accurate crop yield prediction is paramount in agriculture to improve decision-making and resource allocation. It is a key part of precision agriculture, a sustainable farming approach that uses data and technology to improve crop yields while reducing environmental impact. Machine learning techniques have been extensively researched to enhance the accuracy of yield prediction. Athorough comprehension of the available literature on this topic is imperative. This study aims to categorize research, map relevant … 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.