Advances in artificial intelligence (AI) for more effective decision making in agriculture
Abstract
This chapter reviews developments in the use of artificial intelligence (AI) techniques to improve the functionality of decision support systems (DSS) in agriculture. It reviews the use of techniques such as data mining, artificial neural networks (ANN), Bayesian networks (BN), support vector machines (SVM) and association rule mining. It includes a number of case studies of practical application of these techniques to support decision making by farmers.
RAS ID
35440
Document Type
Book Chapter
Date of Publication
2020
School
School of Science
Copyright
subscription content
Publisher
Burleigh Dodds Science Publishing
Comments
Armstrong, L., Gandhi, N., Taechatanasat, P., & Diepeveen, D. (2020). Advances in artificial intelligence (AI) for more effective decision making in agriculture. In L. Armstrong (Ed.), Improving data management and decision support systems in agriculture. Burleigh Dodds Science Publishing. https://shop.bdspublishing.com/store/bds/detail/product/3-190-9781786767288