Publication Date: 2023/09/05
Abstract: Farming practices in India could be revolutionizedby integrating the Internet of Things (IoT) with agriculture. IoT sensors can be used to gather information on soil moisture, temperature, and humidity, which can then be usedto help farmers choose the right crop and apply irrigation techniques. By using a microcontroller-based system, farmers can receive real- time data on soil conditions and adjust irrigation schedules accordingly, without having to manually monitor the crop. Moreover, the implementation of a recommendation engine that takes into account climatic factors and crop quantity can assist farmers in selecting the most appropriate crops for their specific conditions. By usinga content-based recommendation technique, the system can analyze the data collected by the sensors and provide farmerswith suggestions on which crops to grow, based on their suitability for the given climate and soil conditions This approach can be particularly useful in areas where water is scarce, as it can help farmers optimize their water usage and ensure that crops are being grown most efficiently and sustainably possible. With the help of the IoT and a recommendation engine, farmers can make data-driven decisions that can improve their crop yields, reduce water usage, and ultimately increase their profitability.
Keywords: IOT-based system, Machine Learning, Sensors, Recommendation system, Agriculture.
DOI: https://doi.org/10.5281/zenodo.8318689
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23AUG1284.pdf
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