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Integrating IoT and ML for Precision Agriculture

  • Unique Paper ID: 180909
  • Volume: 12
  • Issue: 1
  • PageNo: 2860-2867
  • Abstract:
  • Precision agriculture and sustainable crop management techniques are the results of the industry's rapid transformation due to Internet of Things (IoT) technology. This study examines the ways in which “Internet of Things (IoT)” technology is transforming agriculture, with a focus on precision agriculture and sustainable crop management strategies. In order to improve crop monitoring and management and enable farmers to make decisions that are well-informed, the study investigates the importance and scope of utilizing sensors, Internet of Things devices, and data analytics. Real-time data collection on crop health, temperature, humidity, and soil moisture helps farmers allocate resources more effectively and generate less waste. The key components of IoT-based precision agriculture, including sensor technologies that data collection, analytics, and decision support systems, are covered in comprehensive detail. The study focuses on the advantages of IoT use in agriculture, emphasizing how technology has the potential to revolutionize farming practices for greater efficiency and sustainability. Additionally, the system integrates desktop Application like Tkinter- farmers access to remote irrigation control, crop recommendations, and real-time notifications, enhancing the usability and accessibility of farm management. This Project analyses requirement of selection of Crop based on NPK parameter (Dataset), Temperature, Humidity, Rainfall, and send to the server and further data processed takes place and required output will be given by system.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 12
  • Issue: 1
  • PageNo: 2860-2867

Integrating IoT and ML for Precision Agriculture

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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