Research Assistant, College of Agronomy and Biotechnology, Yunnan Agricultural University China
Minghui Wang, in Xuanwei City, Yunnan Province, China, is a Research Assistant at Yunnan Provincial Key Laboratory of Crop Production and Smart Agriculture, College of Agronomy and Biotechnology, Yunnan Agricultural University. He specializes in the digitalization of crop production and resource management. With a strong academic and research background in agronomy and the seed industry, he contributes to advancements in precision agriculture through innovative patents and software development. His research integrates technology with agriculture to enhance crop productivity and sustainable farming practices.
Profile
Orcid
Education
Minghui Wang completed his education at Yunnan Agricultural University, earning a Master’s degree in Agronomy and Seed Industry. His academic training provided a solid foundation in crop science, plant breeding, and agricultural technology. His studies focused on integrating agronomic principles with digital tools to optimize crop production. His research projects involved utilizing data-driven methodologies for improved resource management and sustainable farming solutions.
Experience
Since September 2022, Minghui Wang has been a Research Assistant at Yunnan Agricultural University’s College of Agronomy and Biotechnology. He is affiliated with the Yunnan Provincial Key Laboratory of Crop Production and Smart Agriculture. His work primarily involves developing digital tools for precision agriculture, conducting research on smart farming technologies, and optimizing crop production systems. He has contributed significantly to patent development and software innovations that enhance agricultural efficiency.
Awards & Honors
Minghui Wang holds multiple utility model patents, including a low-power network wireless partial discharge sensor data transmission device (ZL 202420724759.3), a root system scanning data acquisition device (ZL 202420724781.8), and a wireless self-organizing network low-power data transmission device (ZL 202421029486.7). He also developed a crop data monitoring system (2025SR0328653) under Yunnan Agricultural University. His research article on pest and disease prediction for sugarcane using AI-based models was published in Agriculture journal.
Research Focus
Minghui Wang’s research centers on the digitalization of crop production and resource management. He explores smart agriculture solutions, including sensor technology, AI-driven predictive models, and data-driven farming strategies. His recent study on sugarcane pest and disease prediction utilized hybrid autoregressive integrated moving average and long short-term memory models to enhance crop protection. His work contributes to the development of precision agriculture tools for efficient farming practices.
🏅 Conclusion
Minghui Wang has strong research potential in digital agriculture and smart farming, demonstrated through patents, software development, and AI-driven research. While his technological innovations and applied research make him a promising candidate, expanding publications, securing research funding, and increasing global collaborations would significantly improve his suitability for the “Best Researcher Award.”
Publication
- Year: 2025
- Author(s): Minghui Wang, Tong Li
- Title: Pest and Disease Prediction and Management for Sugarcane Using a Hybrid Autoregressive Integrated Moving Average—A Long Short-Term Memory Model
- Citation: Agriculture, Published on 2025-02-26
- DOI: 10.3390/agriculture15050500