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@article{155499,
        author = {B. SHIVANI and A. MANISHA and G. EESHWAR and K. BANU TEJA PHANINDRA SINGH and B. SNEHITHA},
        title = {CROP YIELD PREDICTION USING MACHINE LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1033-1037},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155499},
        abstract = {Agriculture is the field that plays an important role in improving our country’s economy. Selecting every crop is very important in agriculture planning. Crop yield prediction is an important Agricultural problem. Every farmer always tries to know how much yield will be produced and whether it meets their expectations.
Predicting the crop yield well ahead of its harvest would help the farmers for taking appropriate measures. Several agricultural yield prediction and modeling systems have been created in the past, with varying degrees of effectiveness. Previously, yield prediction was calculated by examining farmers' experience with a specific crop. In the agricultural area, climate and other environmental changes have become a big challenge. Machine learning algorithms' predictions will assist farmers in deciding which crop to plant in order to achieve maximum production.},
        keywords = {},
        month = {},
        }