Abstract:As the demand for livestock and poultry supply chain continues to rise, managing the ever-increasing amount of livestock manure has become a significant challenge. In this study, we employ two models of neural networks, namely the multi-layer perceptron (MLP) and radial basis function (RBF) models, to accurately forecast the production of livestock and poultry manure from 2020 to 2030. The aim is to aid decision-making processes in reducing greenhouse gas (GHG) emissions caused by manure storage. Our results r… 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.