In today’s technological era, the advanced development of the Internet of Things (IoT) empowers multiple devices to connect and communicate with one another, automating processes through internet connectivity and control. When applied to agriculture, IoT offers numerous benefits for monitoring and managing crops. In this paper, we propose an architectural framework that integrates IoT into crop production, providing a system for monitoring various crops using cloud computing. Our approach analyzes real-time sensor data from crops and delivers valuable insights to farmers, helping them monitor crop growth and optimize resource usage, thus saving both time and energy. The research data gathered from actual agricultural fields is stored in the cloud servers and processed, enabling research opportunities and automation of equipment. This system aims to increase crop yields while minimizing resource wastage. Our results demonstrate that key parameters such as temperature, humidity, soil moisture, and water usage are effectively monitored, allowing for better decision-making in collaboration with the farmer.

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Smart Agriculture Management System for Sugarcane Cultivation Using Internet of Things

  • Kaushik Sekaran,
  • Talluri Lakshmi Siva Rama Krishna,
  • L. Ravi Kumar,
  • Srinivasa Rao Dhanikonda,
  • J. S. V. R. S. Sastry,
  • J. Kalaivani

摘要

In today’s technological era, the advanced development of the Internet of Things (IoT) empowers multiple devices to connect and communicate with one another, automating processes through internet connectivity and control. When applied to agriculture, IoT offers numerous benefits for monitoring and managing crops. In this paper, we propose an architectural framework that integrates IoT into crop production, providing a system for monitoring various crops using cloud computing. Our approach analyzes real-time sensor data from crops and delivers valuable insights to farmers, helping them monitor crop growth and optimize resource usage, thus saving both time and energy. The research data gathered from actual agricultural fields is stored in the cloud servers and processed, enabling research opportunities and automation of equipment. This system aims to increase crop yields while minimizing resource wastage. Our results demonstrate that key parameters such as temperature, humidity, soil moisture, and water usage are effectively monitored, allowing for better decision-making in collaboration with the farmer.