How Machine Learning is Innovating Today's World

16An In-Depth Review on Machine Learning Infusion in an Agricultural Production System

Sarthak Dash¹, Sugyanta Priyadarshini^1* and Sukanya Priyadarshini²

¹KIIT Deemed to be University, Bhubaneshwar, India

²Berhampur University, Berhampur, India

Abstract

Agriculture has the ability to sustain human existence by maintaining food security. The three main factors that affect food security are overpopulation, climate variability, and resource competition. To address such complicated issues, intelligent or smart farming extends the use of machine learning and the Internet of Things in traditional agriculture. This chapter is an attempt to give a broad systematic review of the existing literature on machine learning applications in various domains of farming operations. In order to perform the review, a systematic review methodology is used. The review process involves review planning, search criteria, and search terms. After the search is finished, the papers are chosen using inclusion and exclusion factors. The review was conducted on 26 articles extracted from two online databases: Scopus and Web of Science. The literature concerning agricultural production and machine learning is further sub-categorized into five broad areas: (a) crop yielding prediction, which includes seed management, yield prediction, and price management; (b) crop disease management; (c)water management; (d) soil management; and (e) weather prediction. The categorization and filtering of the documents presented ...