Intelligent Technologies for Automated Electronic Systems

IoT-Based Automated Decision Making with Data Analytics in Agriculture to Maximize Production

Author(s): A. Firos*, Seema Khanum, M. Gunasekaran and S.V. Rajiga

Pp: 113-124 (12)

DOI: 10.2174/9789815179514124010011

* (Excluding Mailing and Handling)


This study presents a technique for solving the real-time decision-making difficulty in farming due to sudden changes in situations like atmospheric changes, monsoons, pest attacks, etc. The future of farming technologies is collecting and analyzing big information in agriculture to maximize effectiveness that is operational and minimize work costs. But there tend to be more styles to comprehend with all the IoT, therefore the Internet of Things will touch many more companies than simply farming. This study is focused on adapting the capability of IoT for data collection of features of crops and for automated decision-making with data analytics algorithms. 

Keywords: Agriculture, Cost management, Decision making model, Data analytics, IoT, Pest classification, Pest detection.

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