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

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