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@article{172747,
        author = {Tanuku Sai Rohit and Vanaparthi Sathvik and P.Panduraju},
        title = {Smart Farming using Machine Learning and Deep Learning Techniques},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {3030-3034},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172747},
        abstract = {Agriculture is defined as the practice of growing crops, raising livestock and cultivating plants. As we all know agriculture is key in growing the economy of any nation. About 58 percent of a country primary means of survival is agriculture. Farmers till date had adopted conventional farming techniques. These techniques were not exact thus lowered the output and were time-consuming. Specific agriculture assists in improving the output by accurately expecting the steps that need to be performed at the right time. Weather forecasting, soil assessment, crop selection, fertilizer and pesticide management are some components of precision farming. IOT, Data Mining, Data Analytics, Machine Learning are some advanced technologies that can be employed in doing Precise Farming. It helps to know how much manual efforts are necessary and how productivity can be enhanced. Farmers have been facing various challenges in these recent times, this includes crop failure due to less rains, infertility of the soil etc. Because of the changing conditions most recently, the proposed work helps to understand how crops and harvest can be managed intelligently and one does not compromise with the yield.},
        keywords = {Data Mining, Machine Learning and Smart Farming.},
        month = {April},
        }