AI, Sensors and Robotics for Smart Agriculture—2nd Edition
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 8230
Special Issue Editors
Interests: quality and safety assessment of agricultural products; harvesting robots; robot vision; robotic grasping; spectral analysis and modeling; robotic systems and their applications in agriculture
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; agricultural robots; smart farming; intelligent perception
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Food security is an enormous issue for human society, and the traditional labor-based agricultural production model has been unable to meet the increasing needs. With the continuous progress of artificial intelligence (AI), sensors and robotics, smart agriculture is gradually being applied to agricultural production across the world. The purpose of smart agriculture is to enhance the efficiency of agricultural production, improve production and management methods, implement green production and retain the ecological environment.
Smart agriculture is the deep combination of IoT technology and traditional agriculture. The IoT will elevate the future of agriculture to a new level, with the utilization of smart agriculture becoming increasingly common among farmers. By employing the Internet of Things, sensor technology and agricultural robots, smart agriculture could achieve the precise control and scientific management of the production and operation process, realize the intelligent control of agricultural cultivation, and promote the transformation of agricultural development to intensive and large-scale production. The aim of this Special Issue is to share recent studies and developments in the application of AI, sensors and robots in smart agriculture.
Dr. Baohua Zhang
Dr. Yongliang Qiao
Guest Editors
Manuscript Submission Information
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Keywords
- panchromatic, multispectral, and hyperspectral approaches
- field phenotyping and yield estimation
- disease and stress detection
- computer vision
- robot sensing systems
- Artificial Intelligence and machine learning
- sensor fusion in agri-robotics
- variable-rate applications
- farm management information systems
- remote sensing
- ICT applications
- agri-robotics navigation and awareness
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