A5031676283- Energy Load and Power Forecasting
- Smart Agriculture and AI
- Electric Power System Optimization
- Seismology and Earthquake Studies
- Image Processing and 3D Reconstruction
- Optimal Power Flow Distribution
- Anomaly Detection Techniques and Applications
- Spectroscopy and Chemometric Analyses
- Power System Optimization and Stability
- Hydrological Forecasting Using AI
- Advanced Technologies in Various Fields
- Solar Radiation and Photovoltaics
- Date Palm Research Studies
China Agricultural University
2023-2025
Yangtze University
2025
National Engineering Research Center for Information Technology in Agriculture
2023
Ministry of Agriculture and Rural Affairs
2023
The crop pests and diseases in agriculture is one of the most important reason for reduction bulk grain oil crops decline fruit vegetable quality, which threaten macroeconomic stability sustainable development. However, recognition method based on manual instruments has been unable to meet needs scientific research production due its strong subjectivity low efficiency. pattern deep learning can automatically fit image features, use features classify predict images. This study introduced...
As the new generation of artificial intelligence (AI) continues to evolve, weather big data and statistical machine learning (SML) technologies complement each other are deeply integrated significantly improve processing forecasting accuracy fishery weather. Accurate services play a crucial role in production, serving as great safeguard for economic benefits personal safety, enabling fishermen carry out production better, contributing sustainable development industry. The objective this...
ABSTRACT In view of the limitation generalization ability faced by deep learning in fault identification, especially case complex underground geological conditions and variable seismic data characteristics, it is often ineffective to directly use network based on synthetic training for prediction real data. To overcome this challenge, study proposes an innovative solution, which uses generative adversarial network‐UNet (GAN‐UNet) extract features from depth. The employs a U‐net architecture...
Abstract Considering the rapid advancements in AI technologies such as reinforcement learning, ChatGPT, and deep this paper conducts a comprehensive survey of technological landscape energy agriculture sectors. It delineates evolutionary path smart grids precision agriculture, highlighting significant prediction, optimisation production consumption, intelligent management. Furthermore, identifies key crucial for Agricultural Energy Internet (AEI), offering specialised exploration into...