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Smart Agriculture Using Advanced Machine Learning Algorithms

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Document pages: 5 pages

Abstract: India being an agricultural country, its economy transcendently relies upon agribusiness yield development and united agro-industry items. In India, farming is generally affected by exceptionally unpredictable water. Agriculture development additionally relies upon various soil parameters, namely Nitrogen, Phosphorus, Potassium, Crop rotation, Soil dampness, Surface temperature and on weather viewpoints which incorporate temperature, rainfall, and so forth India presently is quickly advancing towards technical development. Accordingly, innovation will end up being helpful to farming which will build crop profitability, bringing about better respect the rancher. The proposed venture answers Smart Agriculture by checking the agricultural field, which can help the farmers in expanding efficiency to an extraordinary degree[1]. Weather figure information got from IMD (Indian Metrological Department, for example, temperature and rainfall and soil parameters vault gives knowledge into which crops are reasonable to be developed in a specific region. This work presents a framework, in the type of an android based application, which utilizes information investigation methods to anticipate the most beneficial crop in the current weather and soil conditions. The proposed framework will incorporate the information got from the archive, weather condition and by applying a machine learning algorithm[2]. Multiple Linear Regression, a prediction of most appropriate crops as per current natural conditions is made.

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