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@article{155612,
        author = {Bhavana Bidarkar and Mukesh Sankhla and Kritika Jadhav and Ibtesam Zarrine and Md Nasrullah Khan},
        title = {A PROTOTYPE : SENSING AND PREDICTING WEATHER FORECAST FOR SMART FARMING},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {1},
        pages = {1295-1299},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=155612},
        abstract = {Agrometeorology plays an important role in Precision Agriculture for resource management and affects both the quality and quantity of agriculture products. The existing solutions for monitoring weather parameters in agrometeorology are highly global and costly. These solutions are most of the time inaccessible to the common man or farmers and require frequent physical visits to the field for obtaining information. But in agriculture monitoring highly localized weather conditions is required because the weather conditions applicable to farmland of one city may not be as such for a farmer of a small rural area. Weather conditions such as wind speed, wind direction, rainfall, solar radiation, atmospheric pressure, air particle level humidity and temperature measurement plays an important role in different fields like Agriculture, Science, Engineering and Technology.
Smart agriculture with the Internet of Things makes it possible for farmers to better collect weather condition data, which holds a wealth of benefits. Better weather data allows farmers to prevent over or under-watering, crop disease, and unnecessary time spent in the fields. Sensors can collect data for years without maintenance or battery replacement and data is accessible immediately via any connected device 24/7. },
        keywords = {Agrometeorology, IOT.},
        month = {},
        }