A5103237155- Smart Agriculture and AI
- Image Enhancement Techniques
- Underwater Acoustics Research
- Cell Image Analysis Techniques
- Insect Pheromone Research and Control
- Neural Networks and Applications
- Speech and Audio Processing
- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Optical Coherence Tomography Applications
- Date Palm Research Studies
- Music and Audio Processing
Zhejiang University
2023
Guizhou University
2023
Insect pests from the family Papilionidae (IPPs) are a seasonal threat to citrus orchards, causing damage young leaves, affecting canopy formation and fruiting. Existing pest detection models used by orchard plant protection equipment lack balance between inference speed accuracy.To address this issue, we propose an adaptive spatial feature fusion lightweight model for IPPs, called ASFL-YOLOX. Our includes several optimizations, such as use of Tanh-Softplus activation function, integration...
Abstract The complexity and variability of the underwater environment have presented a significant technical challenge in detection localization object. In this paper, an object method based on BEVFormer model is experimentally verified for effectiveness. incorporates spatial cross-attention temporal self-attention, leveraging information from both scales to enhance robustness. Generative Adversarial Network CycleGAN was employed generate dataset U-nuScenes, nuScenes dataset. Results show...
Rainfall recognition is an important meteorological forecasting task with significant implications for sectors such as agriculture, urban management, and transportation. Traditional rainfall measurement typically employs mechanical rain gauges, which impose strict environmental requirements, often necessitate manual intervention, offer limited spatiotemporal resolution. To address this challenge, study sound detection utilizes feature fusion techniques, combining multiple features of varying...