Agricultural Informatics

9An Integrated Application of IoT-Based WSN in the Field of Indian Agriculture System Using Hybrid Optimization Technique and Machine Learning

Avishek Banerjee^1*, Arnab Mitra² and Arindam Biswas³

¹Department of Information Technology, Asansol Engineering College, Asansol, India²Department of Computer Science & Engineering, Siksha ‘O’ Anusandhan (Deemed to be University), Bhubaneswar, India ³School of Mines and Metallurgy, Kazi Nazrul University, Asansol, India

Abstract

The goal of this chapter is to propose an integrated application of the Internet of Things-based Wireless Sensor Network in the arena of the Indian Agriculture System using the Hybrid Optimization Technique and Machine Learning. The IoT-based WSN can play a great role to collect various useful data from the ground level. In this chapter, we aim to do the area coverage optimization and this optimization will help to cover more areas to do the surveillance. The coverage area optimization of the target area surveillance in case of research in agriculture is always a major concern. A new Hybrid Algorithm, i.e., GA-MWPSO has been used for solving the non-linear constrained optimization problems. To test the competence of the proposed algorithms, a set of test problems has been taken, solved and compared with existing literature. The obtained dataset has been populated in a higher range to make the training set. This idea developed the concept of Machine Learning (ML). This concept became useful to take the decision-making ...