A smart agricultural system is the one that incorporates Internet of Things (IoT) devices. In addition to boosting production, this has the potential to enhance product quality, decrease labor expenses, boost farmer earnings, and fully realizes agricultural modernization & intelligence. Smart farming methods have the potential to increase crop yield while simultaneously increasing productivity. However, most farmers are still not up-to-date on modern farming practices. There are many advantages to implementing IoT into a farming framework for managing and monitoring crops. Supporting solutions for agricultural processes can now be manufactured thanks to the IoT. Systems for frost protection, fertilization, automated irrigation, and remote monitoring are all names for the same thing. As a result of the information presented above, farmers and researchers need to be supplied with a thorough understanding of IoT uses in agriculture. Here, we present an IoT-based framework for intelligent farming. Our comprehensive evaluation of the proposed system demonstrates that it excels in the field of smart agriculture across a wide range of conditions. With the assistance of modern networking tools, the suggested Smart farm system can be managed remotely.

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Application of Latest IoT Techniques for Crop Yield and Moisture Prediction in Smart Farming

  • Pallam Ravi,
  • Ganesh Davanam,
  • N. Deepika,
  • Sunil Kumar Malchi,
  • V. Siva Ram Reddy

摘要

A smart agricultural system is the one that incorporates Internet of Things (IoT) devices. In addition to boosting production, this has the potential to enhance product quality, decrease labor expenses, boost farmer earnings, and fully realizes agricultural modernization & intelligence. Smart farming methods have the potential to increase crop yield while simultaneously increasing productivity. However, most farmers are still not up-to-date on modern farming practices. There are many advantages to implementing IoT into a farming framework for managing and monitoring crops. Supporting solutions for agricultural processes can now be manufactured thanks to the IoT. Systems for frost protection, fertilization, automated irrigation, and remote monitoring are all names for the same thing. As a result of the information presented above, farmers and researchers need to be supplied with a thorough understanding of IoT uses in agriculture. Here, we present an IoT-based framework for intelligent farming. Our comprehensive evaluation of the proposed system demonstrates that it excels in the field of smart agriculture across a wide range of conditions. With the assistance of modern networking tools, the suggested Smart farm system can be managed remotely.