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Advances in artificial intelligence (AI) for more effective decision making in agriculture

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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 techniqu...
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  • 27 April 2020
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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.
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Price: £25.00
Publisher: Burleigh Dodds Science Publishing
Imprint: Burleigh Dodds Science Publishing
Series: Burleigh Dodds Series in Agricultural Science
Publication Date: 27 April 2020
ISBN: 9781786767288
Format: eBook
BISACs:

TECHNOLOGY & ENGINEERING / Agriculture / Agronomy / Crop Science, Agronomy and crop production, TECHNOLOGY & ENGINEERING / Agriculture / Sustainable Agriculture, Sustainable agriculture

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1 Introduction 2 Agricultural DSS using AI technologies: an overview 3 Data and image acquisition 4 Core AI technologies 5 Case study 1: AgData DSS tool for Western Australian broad acre cropping 6 Case study 2: GeoSense 7 Case study 3: Rice-based DSS 8 Summary and future trends 9 Where to look for further information 10 References