IEEE

Crop Yield Prediction Using Machine Learning: Integrating Climate and Soil Data

Abstract: Predicting crop yields with accuracy is essential for tackling the difficulties of contemporary agriculture, including changes in climate and the deterioration of soil quality. This paper ...
IEEE

Hybrid Machine Learning Model for Crop Yield Prediction

Abstract: Accurate crop yield prediction is an essential aspect of modern agriculture practices, which are increasingly subjected to climate variability that adds uncertainty. A stacked ensemble model ...
The Lancet

Liver regeneration-associated machine learning architecture integrating time-phased predictions for post-hepatectomy liver failure

aDepartment of Hepatobiliary and Pancreatic Surgery, Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, China bClinical Research Institute, Eastern ...