Machine Learning Approach for Crop Selection based on Agro-Climatic Conditions

Abstract: Farming helps to meet the basic needs of human and their civilization by providing food, clothing, shelters, medicine and recreation. Hence, agriculture is the most important enterprise in the globe. Agriculture provides food, feed, fibre, fuel, furniture, raw materials and materials for and from factories; provides a free fare and fresh environs, abundant food for driving out dearth; favours friendship by eliminating battle. One of the reasons for the shortage of food across the country can be choice of unsuitable crop for cultivation. The proposed project will contain information of different crops and will suggest the granger crop which is suitable for cultivation based on the geographic area and climatic status such as temperature, moisture and humidity by making use of different sensors.

Keywords: Climate, Sensors, climate, agricultural productivity, crop production, prediction, Machine Learning