Treffer: Agriculture crop selection and yield forecasting using machine learning algorithms.

In rural India, agriculture is the field that assumes a significant part in improving our nation's economy. India is an agricultural country and its economy generally dependent on crop productivity. Agriculture is the spine of all business in our country. Choosing a crop is vital in Agriculture arranging. The determination of crops will rely on the various boundaries, for example, market value, production rate and distinctive government policies. Numerous progressions are needed in the agriculture field to improve changes in our Indian economy. Improvements in agriculture can be done utilizing machine learning techniques which are applied effectively on cultivating area. To predict yields, a few chosen gadget mastering methods are used, including support vector machine (SVM), ANN, arbitrary backwoods (RF). The aim of the proposed system is to carry out the yield determination technique using Decision Tree Regressor, Random Forest with the goal that this strategy helps in taking care of numerous agriculture and farmers issues. This improves our Indian economy by expanding the yield rate of crop production. [ABSTRACT FROM AUTHOR]

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