IoT Machine Learning Applications in Telecom, Energy, and Agriculture: With Raspberry Pi and Arduino Using Python

© Puneet Mathur 2020

P. MathurIoT Machine Learning Applications in Telecom, Energy, and Agriculturehttps://doi.org/10.1007/978-1-4842-5549-0_9

9. Agriculture Industry Case Study: Predicting a Cash Crop Yield

Puneet Mathur¹ 

(1)

Bangalore, Karnataka, India

 

This chapter covers an agriculture industry-based case study for predicting a cash crop yield. The case study gives you an idea of the challenges faced by a mid-sized agri-conglomerate trying to reach the next level and become as big as the vision of its founder. The problem of crop yield is very important for such organizations due to the fact that they want to maximize their land resources to get the highest revenue possible. What you will primarily learn in the case study is the fact that a company’s ...