This paper aims to explore talent cultivation models and strategies for pesticide residue detection in higher education. By analyzing and evaluating existing talent cultivation models, some improvement suggestions are proposed, taking into account the development trends in pesticide residue detection. The study indicates that professional degree programs, interdisciplinary courses, and collaborative research projects are the main talent cultivation models currently employed, but they still have certain limitations. To enhance the effectiveness of talent cultivation, recommendations include adding elective courses and specialized tracks in the curriculum, maintaining a balance in interdisciplinary education, and strengthening collaboration with industry partners. This research provides guidance and reference for the cultivation of talents in pesticide residue detection in higher education.

Ying Wang, Li Song, Peixu Zhang, Fengjuan Cao. Research on Talent Cultivation Models and Strategies for Pesticide Residue Detection in Higher Education. International Journal of New Developments in Education (2023) Vol. 5, Issue 20: 112-117. https://doi.org/10.25236/IJNDE.2023.052020.

[1] Hou F. (2021) Exploration of optimization of pretreatment and detection conditions for pesticide residue detection in fruits and vegetables. Guangdong Sericulture, 55(7), 83-84. 

[2] Wang N. (2020) Discussion on the problems and countermeasures in pesticide residue detection of agricultural products. Shanxi Agricultural Economy, 3, 137-138. 

[3] Yang Q, Zhang G, Li H. (2019) Problems and countermeasures in pesticide residue detection of agricultural products. Southern Agriculture, 13(24), 109-110. 

[4] Guang Y, Chen W, Lin L. (2019) Practical teaching methods for pesticide residue analysis and agricultural product safety. Journal of Hubei Open Vocational College, 32(7), 149-150+153. 

[5] Niu W. (2011) National Summary Meeting of Pesticide Registration Residue Trials held in Kunming. Agricultural Technology and Equipment, 22, 78.