Smart Agro-Ecological Zoning for Crop Suggestion and Prediction Using Machine Learning: An Comprehensive Review

Abstract

Crop production in agriculture depends on many factors such as climate, geography, biological, economical, historical, political, socioeconomic and agro-ecological zoning. Intelligent agro-ecological zoning is at the forefront of this, the main aim is accurately suggesting and prediction of crops that ensure more production of it. This paper is a review for reassessing the research work on the agricultural crop suggestion and prediction with relevance to machine learning techniques to find research gap and to provide future research direction.