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Agricultural Unmanned Systems: Empowering Agriculture with Automation
Shubo Wang (editor)
2024
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Automation is crucial for the advancement of modern agriculture. It has a significant role in enhancing production efficiency and output, reducing labor costs, addressing natural disasters, and boosting sustainability. Automation utilizes big data and artificial intelligence to monitor agricultural production. It introduces new farming models that adapt to the challenges of scalability and environmental changes, achieving precise and efficient agricultural development. This Special Issue, titled “Agricultural Unmanned Systems: Empowering Agriculture with Automation”, focuses on sharing knowledge related to integrated and precise operational agriculture systems in the sky, air, land, and water. It explores intelligent sensing and control technologies in smart agricultural unmanned systems to advance the progress of unmanned agriculture. Establishing global demonstration sites is essential. These sites support the revolutionary advancement of smart agricultural machinery in automated, intelligent, unmanned, cluster operations.
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Keywords
- 3D lidar
- air-assisted sprayer
- alfalfa seeds
- automatic harvesting
- baler
- behind canopies
- BP neural network
- canopy length measurement
- citrus pest
- clustered lawnmowers
- comprehensive coverage path planning
- Computer vision
- current challenge
- de-aromatic wine
- decision control
- deep learning
- design optimization
- development trend
- Digital Image Processing
- discrete elements
- double hidden layer
- droplet loss
- dual-manipulator
- embedded system
- end-effector
- end-picker
- environmental pollution
- feature optimization
- feed rate
- foliage area volume density (FAVD)
- frequency domain filtering
- fruit detection
- fruit picking
- fruit recognition
- grid-based method
- harvester
- harvesting robot
- harvesting robots
- high-power tractors
- joint-control method
- leaf nitrogen content (LNC)
- LiDAR
- MobileNetV3
- Model
- multiple factors
- multiple robotic arms
- n/a
- NIR spectroscopy
- nitrogen content
- object detection
- object recognition
- obstacle detection
- orchard
- particle swarm optimization
- pest detection
- picking robots
- pickup platform
- positioning
- pre-collision system
- research overview
- research review
- robotic configurations
- Rose Oxide (4-Methyl-2-(2-methyl-1-propenyl) tetrahydropyran)
- Si-PLSR
- smart agriculture
- subsoiling operation
- target detection
- task allocation
- task planning
- thema EDItEUR::Q Philosophy and Religion
- thema EDItEUR::Q Philosophy and Religion::QD Philosophy
- thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDH Philosophical traditions and schools of thought
- thema EDItEUR::Q Philosophy and Religion::QD Philosophy::QDH Philosophical traditions and schools of thought::QDHR Western philosophy from c 1800
- traditional machine learning
- transfer learning
- UAV hyperspectral
- uniform fabric
- visual recognition
- water content
- wavebands analysis
- working power
Links
DOI: 10.3390/books978-3-7258-1619-4Editions