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@article{162311,
        author = {FALGUNI ADHIKARY and SWARUP KUMAR PAUL and SANDIP SAHA and ARINDAM MONDAL and Anirban Mukherjee},
        title = {An Innovative Approach for Fruits Farming Recommendation System Using ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {9},
        pages = {233-236},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162311},
        abstract = {Fruit cultivation contributes significantly to the agricultural GDP of India. Fruits like mangoes, bananas, grapes, citrus fruits, and apples are among the major cash crops, generating substantial revenue for farmers and the economy. Researchers are trying to developed new technique for fruit cultivation in any climate change [1]. This paper proposed a new recommendation model using machine learning algorithm[1]  [ML] and voting classifier [2] for fruit farming in different climates and lands of India. The proposed model can predict the profitable fruit to grow on any farming land on the basis of soil parameters and environmental parameters. It not only reduces the risk factor of loss but also increases the profit.},
        keywords = {fruits farming, machine learning, hard Voting classifier.},
        month = {},
        }