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.
