Intelligent Technologies for Automated Electronic Systems

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

DOI: 10.2174/9789815179514124010011

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

Pp: 113-124 (12)

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Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

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. 

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