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@article{157887,
        author = {Apoorva M and Apoorva G S  and Chithra B and Harishwini D C and Dr. Kavitha C},
        title = {A Survey on Analysis and Prediction of Soil Nutrients Quality Using Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {129-133},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=157887},
        abstract = {India is a country which is majorly dependent on agriculture and hence it is more affective in growth of nation and even economic development. Therefore in order to have effective quality of soil and to have maximum growth there were adaptions of many practices. In this paper, one such method is proposed. The developed method uses internet of thing based approach and with the use of machine learning algorithm, makes decision on soil nutrient balancing, crop prediction and crop yield estimation with the data storage in Firebase cloud platform. The data from IoT is computed using Raspberry Pi and using ML algorithm the crop prediction is done based on the soil quality calculated from the data obtained from sensor. The proposed approach helps farmers in deciding the right amount nutrients to be added and the crop prediction and yield estimation.},
        keywords = {Internet of Things (IoT), Raspberry Pi, Machine Learning, Firebase cloud platform.},
        month = {},
        }