| 刊名 | Meteorological and Environmental Research |
| 作者 | Na ZHAO, Wei HUANG, Guoren LAO, Lei LIU, Daobo WANG* |
| 作者单位 | College of Smart Agriculture, Yulin Normal University/Key Laboratory of Smart Agriculture for Guangxi Characteristic Horticultural Crops/Guangxi Zhuang Autonomous Region Facility Agriculture Engineering Research Center/Guangxi Colleges and Universities Engineering Research Center of Facility Agriculture, Yulin 535000, China |
| DOI | 10.19547/j.issn2152-3940.2026.01.010 |
| 年份 | 2026 |
| 刊期 | 1 |
| 页码 | 52~54,59 |
| 关键词 | Smart agriculture; Practical curriculum system; AI+; Reconstruction path; Applied universities |
| 摘要 | The deep integration of artificial intelligence technology and agricultural industry has pushed smart agriculture into a new stage of "AI+ scenario", and put forward a transformation requirement for the talent cultivation of smart agriculture major in universities from "technology application" to "intelligent innovation". In response to the problems of insufficient AI integration, lack of contextualization, and insufficient collaboration between industry and education in the traditional "technology+" practical course system, this paper takes the smart agriculture major at Yulin Normal University as an example to construct a "AI+ agriculture" practical course reconstruction framework and propose a four-dimensional transformation path of "goal-content-mode-evaluation". Through the practical exploration of modular curriculum design, scenario based practical design, integration of industry and education, and intelligent evaluation reform, a practical teaching system with local application-oriented university characteristics has been formed, providing a reference example for the cultivation of smart agriculture professionals under the background of new agricultural science. |
