Precision Agriculture Technologies for Crop Management
A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Digital Agriculture".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 11954
Special Issue Editors
Interests: precision agriculture; data technology; agricultural cybernetics; remote sensing; agricultural automation
Interests: plant pathology; precision plant protection; remote disease diagnosis; non-invasive crop sensing; precision spraying
Interests: high throughput plant breeding; specialty crops; integrated precision crop protection; controlled agriculture; crop inventory management using UAVs
Special Issue Information
Dear Colleagues,
As the global population is projected to double by 2050, researchers and crop producers have just 27 years to transform conventional crop production and management practices. Amid the scarcity of natural resources, demands for chemical-free food, and concerns over environmental sustainability, targeted crop management practices are deemed essential. The advent of precision agriculture technologies can play a critical role in alleviating the mentioned concerns to ultimately achieve food security and sustainability. Precision agriculture is a strategy of collecting, processing, and analyzing spatiotemporal data and combining it with other systems to derive and implement specific production management decisions such as the application of water, growth regulators, fungicides, and insecticides, among others. Importantly, such decisions and implementations need to be equitable and accessible to all grower scales (small-, mid-, and large-sized farming). Therefore, this Special Issue invites cutting-edge and highly beneficial research, reviews, and short technical communication articles on the advances of precision agriculture technologies. These include but are not limited to: integrated sensors and existing sensor applications, cyber–physical systems, internet-of-things, robotics and automated vehicles, unoccupied aerial vehicles, proximal and satellite-based sensing, computer vision and artificial intelligence, big data, cyber-biosecurity, cloud computing, and variable rate applicator technologies. Studies focused on all agricultural domains, including but not limited to agronomy, pathology, horticulture, urban and controlled environment, forestry, aquaculture, and livestock farming, are welcome. Example topics addressed in this issue include, but are not limited to advances in:
- New technologies for enhancing the efficiency and capacity of agroecosystem mitigation and management through crop identification, environmental impact assessment, energy sources, adoption studies, and socio-economic assessments.
- Abiotic and biotic stress mitigation and management.
- Identification and the development of operational farm zones based on informed decisions on soil health and water management.
- Site and time-specific soil preparation, monitoring, and health management.
- Variable rate seeding, pest/disease/weed management, irrigation, and harvesting.
- Aquaculture and livestock health monitoring and management.
- Post-harvest storage management, sorting or grading, infection identification, and product quality assessment.
- Algorithms and software, development and deployment on machinery, computers, smartphones, clouds, and others.
- Process modeling and validation using field data and theoretical models in real production environments.
Dr. Abhilash Chandel
Dr. David McCall
Prof. Dr. Matthew Chappell
Guest Editors
Manuscript Submission Information
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Keywords
- agriculture
- sensors and imagers
- algorithms
- automated systems
- big data
- cloud computing
- variable rate application
- farm-scale neutral solutions
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