A5017113790- Water Quality Monitoring Technologies
- Fish Ecology and Management Studies
- Water Quality Monitoring and Analysis
- Marine and fisheries research
- Energy Efficient Wireless Sensor Networks
- Modular Robots and Swarm Intelligence
- Marine animal studies overview
- Analytical Chemistry and Sensors
- Remote-Sensing Image Classification
- Wireless Power Transfer Systems
- Polydiacetylene-based materials and applications
- Remote Sensing in Agriculture
- Mobile Ad Hoc Networks
- IoT-based Smart Home Systems
- Smart Agriculture and AI
- Innovations in Aquaponics and Hydroponics Systems
- Aquaculture disease management and microbiota
- Coral and Marine Ecosystems Studies
- Biosensors and Analytical Detection
- Energy Harvesting in Wireless Networks
- Aquaculture Nutrition and Growth
- Opportunistic and Delay-Tolerant Networks
- Remote Sensing and Land Use
- Security in Wireless Sensor Networks
Ministry of Agriculture and Rural Affairs
2023-2024
China Agricultural University
2022-2024
National Engineering Research Center for Information Technology in Agriculture
2023-2024
University of Surrey
2023
Henan University of Science and Technology
2019-2020
Understanding the feeding dynamics of aquatic animals is crucial for aquaculture optimization and ecosystem management. This paper proposes a novel framework analyzing fish behavior based on fusion spectrogram-extracted features deep learning architecture. Raw audio waveforms are first transformed into Log Mel Spectrograms, such as Discrete Wavelet Transform, Gabor filter, Local Binary Pattern, Laplacian High Pass Filter, followed by well-adapted model, proposed to capture spectral...
The identification of non-invasive individual fish based on images provides the feasibility for automated monitoring farming. Traditional methods use invasive tagging to obtain information about same species, and application improves welfare. However, most available studies are limited because feature extraction they restricted a laboratory setting can only achieve single once, hence cannot be applied in real aquaculture environments. In this paper, we propose method improved YOLOv5...
Balancing energy consumption using the clustering routing algorithms is one of most practical solutions for prolonging lifetime resource-limited wireless sensor networks (WSNs). However, existing protocols cannot adequately minimize and balance total network dissipation due to additional tasks data acquisition transmission cluster heads. In this paper, a cluster-head rotating election protocol proposed alleviate problem. We discovered that regular hierarchical method scheme area division had...
Significant similarities exist between a spider web and wireless sensor network in terms of topology. Combining the unique advantages nature, such as invulnerability robustness, with communication technology presents high research value broad development prospects. In this paper, sort spiral artificial based on 3D printing its associated vibration testing device is proposed, which used to study transmission rule information under given excitation conditions. It provides useful inspiration...
This paper presents an artificial spider-web topology model inspired by the structure and invulnerability of a spider web. A hierarchical clustering routing rule is accordingly established using vibration transmission features natural web as reference. Furthermore, end-to-end delay applied quantitative indicator for analyzing communication performance characteristics topology. The simulation tests one-layer 3-layer are implemented to obtain importance destructive tolerance network components...
Existing mitigation strategies on wireless sensor networks (WSNs) against cascading failures cannot appropriately adapt the particular characteristics of farmland WSNs. Spider web provides a new reference for improving network invulnerability. In this study, bionic scheme is built based symmetric analysis series spider-web vibration transmission trials, which include networking methodology, communication rules, and load capacity model. The basic idea to apply cascading-failure coping...
Fish feeding intensity assessment (FFIA) aims to evaluate fish appetite changes during feeding, which is crucial in industrial aquaculture applications. Existing FFIA methods are limited by their robustness noise, computational complexity, and the lack of public datasets for developing models. To address these issues, we first introduce AV-FFIA, a new dataset containing 27,000 labeled audio video clips that capture different levels intensity. Then, multi-modal approaches leveraging models...