Research on the Training Path of Compound Talents Based on Smart Agriculture
DOI: https://doi.org/10.62517/jiem.202403306
Author(s)
Xu Wentao1, Zhang Dan2
Affiliation(s)
1Zhalantun Vocational College, Department of Information Engineering, Hulunbuir, Inner Mongolia, China
2Zhalantun Bureau of Agriculture, Animal Husbandry and Science and Technology, Hulunbuir, Inner Mongolia, China
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.
Keywords
Smart Agriculture; Compound Talent; Educational Reform; Interdisciplinary Integration; Industry-Academia-Research Collaboration
References
[1] Luo Zizhi, Tang Yunhui, Wu Qiang, et al. Research on Meteorological Big Data Application Scenarios and Meteorological Service Technology Forecasting [J]. Agricultural Modernization Research, 2024(001):045.
[2] Zhuang Wenhui. Research on the Optimization of Agricultural Information Service System in Rizhao City [D]. Dalian Maritime University, 2023.
[3] He Ting. Exploring the Path of Vocational Talent Cultivation for Smart Agriculture Development [J]. Journal of Smart Agriculture, 2021, 1(10):4.
[4] Zhou Nannan. Research on the Optimization Path of Smart Agriculture Development in Henan Province under the Background of Rural Revitalization [J]. Agricultural Economy, 2022(10):15-16.
[5] Bao Jianping, Zhang Qi. Innovative Research on Practical Teaching of "Fruit Tree Cultivation" under the Goal of Training Excellent Compound Talents in Agriculture and Forestry [J]. Modern Horticulture, 2018(19):2.
[6] Liu Yaohan. New Agricultural Talents in the Era of Smart Agriculture [J]. China New Era, 2020(12):4.
[7] Zhu Shuai Meng, Ma Shoucheng, Guo Linghui, Wang Rui. Exploration of New Agricultural Science Talent Cultivation Models through Multidisciplinary Integration [J]. University Education, 2023(3):122-125.
[8] Zhu Changqing, Wang Yue, Lin Liangfu, et al. Agricultural Science Innovation Guided by the Concept of Big Food [J]. Journal of Agricultural Sciences, 2024, 14(3):110-116.
[9] Zhang Yu, Yang Ping. Research on the Issues and Countermeasures of Green Development of Smart Agriculture in Shouguang City under the "Dual Carbon" Goal [J]. Management Science and Research: Bilingual Edition, 2023, 12(5):83-89.
[10] Ge Jing. Management Models, Issues, and Strategic Countermeasures for Smart Agriculture in China [J]. Ecological Economy, 2017, 33(11):6.
[11] Deng Mingming, Zhang Yue. Research on the Path of Cultivating High-Quality Labor Talents in Agricultural Higher Vocational Colleges under the Rural Revitalization Strategy [J]. Journal of Smart Agriculture, 2023, 3(15):169-172.
[12] Cheng Liang. Research on the Current Situation of "Agricultural Science + Law" and "Law + Agricultural Science" Compound Talent Cultivation Based on the Needs of Rural Revitalization from the Perspective of New Agricultural Science: A Case Study of Anhui Science and Technology University [J]. Journal of Smart Agriculture, 2022, 2(18):84-87.
[13] Gao Anchong, Tang Xinlong, Zhou Liang, et al. Exploration of the Reform of the Practical Teaching System for Animal Production Courses in the Context of the Era of Smart Agriculture [J]. Heilongjiang Animal Husbandry and Veterinary Medicine, 2021(22):130-134.
[14] Lü Ting. Research on the Impact of Smart Agriculture Development on Agricultural Economic Growth in Chongqing [D]. Chongqing Normal University, 2021.