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Home > Archives > Volume 20, No 8 (2022) > Article

DOI: 10.14704/nq.2022.20.8.NQ44702

IMPLEMENT A SYSTEM FOR CROP SELECTION AND YIELD PREDICTION USING RANDOM FOREST ALGORITHM

M. Devaki, K. B. Jayanthi, M. Priya

Abstract

Agriculture is the bone that plays important part in the frugality of India. India is an agrarian country and its frugality largely grounded upon crop product. It'll allow policy makers and growers to take effective marketing and storehouse way to prognosticate crop yields before in their crop. This design will allow growers to capture the yield of their crops before civilization in the field of husbandry and therefore help them make the necessary opinions. Perpetration of such a system with a use and the machine learning algorithm can also be distributed. The results attained are granted access to the planter. And yet there are colorful styles or protocols for similar veritably data analytics in crop yield vaticination, and we're suitable to prognosticate agrarian productivity with guidance of all those algorithms. It utilizes a Random Forest Algorithm. By probing similar problems and issues similar as rainfall, temperature, moisture, downfall, moisture, its overcome using Random Forest technique, acceptable results and inventions to resolve the situation. In countries like India, indeed in the agrarian sector, as there are numerous types of adding profitable growth. In addition, the processing is useful for vaticinating the product of crop yields.

Keywords

Climate, crop yield, Indian Agriculture, Machine Learning Techniques, Random Forest Algorithm.

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