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@article{162546,
        author = {Aditi Khekale and Drakshyani Desai},
        title = {Monitoring and Prediction of Agriculture Field in Embedded System with Machine Learning },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {334-338},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162546},
        abstract = {For thousands of years, farmers have turned to the skies and tracked clouds to determine how a cropping season will turn out. But there is a new cloud on the horizon. Farmers are increasingly taking the help of big data and embedded systems to undertake precision farming. In these technologically advanced farms, autonomous combines harvest crops with the help of the Global Positioning System. Drones flying overhead, map the field and send the data to the cloud, where it is processed. The farmer gets all this data in a tablet (connected to the internet). He can see the areas in need of his intervention. He makes corrections and the data is immediately fed to the choppers and tractors which automatically correct their courses.},
        keywords = {Embedded System, Smart Agriculture, Monitoring, Machine Learning, Data analysis.},
        month = {},
        }