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Research on the Training Path of Compound Talents Based on Smart Agriculture

Year: 2024
Type: article
Abstract: This study aims to explore the training paths for compound talents in the context of smart agriculture to meet the needs of modern agricultural development. As global agriculture progresses towards intelligent and precise methodologies, the development of smart agriculture requires professionals with multidisciplinary knowledge and skills. Training such compound talents has become a significant challenge in global agricultural education. Therefore, this research is based on the technological characteristics and industrial demands of smart agriculture, utilizing methods such as literature analysis and expert interviews to analyze the current state and existing issues of talent cultivation in smart agriculture. The research process first systematically sorts out the core elements of smart agriculture technology, clarifying the specific needs of intelligent devices, big data analysis, and IoT applications in modern agriculture. Next, through comparative analysis of educational models in agricultural colleges at home and abroad, it discusses the advantages and shortcomings of the current education system in multidisciplinary integration and practical ability cultivation. The study finds that the development of smart agriculture requires breaking through the disciplinary barriers of traditional agricultural education, emphasizing the importance of interdisciplinary curriculum design and practical teaching to cultivate students' comprehensive application abilities and innovative thinking. Additionally, it suggests strengthening cooperation between schools and industries, establishing practical bases that integrate production, education, and research, providing students with real industry experiences and project practice opportunities. The research concludes that promoting the cultivation of compound talents requires support from educational policies and optimized resource allocation, proposing specific implementation strategies and paths to provide theoretical support and practical guidance for educational reform and development in smart agriculture.
Language: English
Open Access status: hybrid
OpenAlex ID: W4409891016
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