Machine Learning in Cyber Physical Systems for Agriculture

Abstract

The agriculture science system is facing lots of problems from environmental change. Machine learning (ML) and cyber physical systems (CPS) are the best approaches to overcome the problems by building good and effective solutions. Crop yield prediction includes prediction of yield for the crop by analysing the existing data by considering several parameters like weather, soil, water, and temperature. This project addresses and defines the predicting yield of the crop based on the previous year's data using a linear regression algorithm into which you can type your own text.

Keywords

Identifiers

DOI

10.4018/978-1-7998-9308-0.ch003

Journal

Advances in Computational Intelligence and Robotics

Year

2022