AI AGRI AID (AAA): MANGO YIELD PREDICTION USING MACHINE LEARNING TECHNIQUES
S.MADHAN
GIRIJA S, MANIKANDAN M, MEENACHI MADHUMITHA V
Department of Computer Science and Engineering
University College of Engineering, Thirukkuvalai
(A constituent College Of Anna University: Chennai and Approved by AICTE, New Delhi)
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ABSTRACT
In modern, agriculture is the spine of India and moreover performs an important function in Indian monetary device with the aid of supplying an incredible percent of home product to make certain the food safety. But now-a-days, meals production and prediction is getting depleted because of unnatural climatic adjustments, so that you can adversely have an effect at the economic system of farmers thru getting a terrible yield and also assist the farmers to live an awful lot an excellent deal an awful lot much less acquainted in forecasting the destiny flora. In order to deal with cutting-edge issues which includes water shortages, supply that outpaces call for, and weather variability, farmers will want to be prepared with smart farming practices. As a give up end result, it's far predicted that there can be a lower in crop yields because of changes in climatic situations, horrible irrigation centers, reduced soil fertility, and vintage farming techniques. Machine studying is one among several methods that can be used to are expecting crop production in agriculture. Machine learning techniques along with SVM and Random Forests, which provide extra sturdy models than traditional linear regression fashions. In proposed system, we are capable of accumulate and preprocess records on climate conditions, soil moisture, and crop kind. We will use numerous records preprocessing strategies to smooth and redecorate the records just so it is able to be used to teach the device reading model. We will use an aggregate of regression techniques to expect crop yield. This tool will use device studying algorithms to determine the most accurate and green model to are looking forward to the yield. Overall, the proposed device has the functionality to revolutionize the manner mango yield is predicted and help farmer’s growth their yields and earnings.
Keywords: Crop yields, Machine Learning algorithms and Mango.
