Application of Internet-of-Things Technologies in Precision Agriculture
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (16 June 2023) | Viewed by 3258
Special Issue Editors
Interests: data mining; pattern recognition; IoAT
Special Issue Information
Dear Colleagues,
Precision agriculture is among the most essential Internet of Things applications. Predicting natural circumstances and responding as early as feasible to them is crucial for the efficiency and profitability of agriculture. The Internet of Agriculture Things (IoAT) is a new route in agriculture that has seen tremendous growth. For centuries, agriculture has been a source of survival for humanity and a major source of employment as well. Agriculture is the key industry that will provide this huge population with food and support worldwide sustainable economic development. IoT, AI (Artificial Intelligence), and other cutting-edge technology have made agricultural processes more specialized and highly optimized. The optimization of agricultural practice efficiency through the use of the IoAT and sensor technologies not only saves resources but also can control environmental risks and economic sustainability. With the advancement in IoT technology, there are so many factors that need to be considered for the development of smart agriculture like soil preparation, water requirements, yield prediction, and pest control. Throughout the entire growing and harvesting cycle, farmers could be assisted with IoAT to cope with intelligence, ubiquitous sensing, and secured network connectivity. In this Special Issue, we anticipate many techniques on how IoT technologies might be employed to enhance data collection quality and precision agriculture. Some interesting subjects include, but are not limited to:
- Smart sensors for farming system
- Internet of Things
- IoT multi-sensors
- Wireless network
- Sustainable agricultural system
- Communication connectivity
- Machine learning
- Precision agriculture using edge computing
- Data security for IoAT
- Big data
- Cloud computing
Dr. Amjad Rehman
Dr. Khalid Haseeb
Guest Editors
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