ARTICLE
Volume 4,Issue 7
12 February 2026
Research on the Innovation Path of Agricultural Talent Training Model in Higher Vocational Colleges Driven by Digital Intelligence
Yanling Zhao ,
Qing Zhang ,
Minya Xu ,
Shengqin Hu ,
Hui Dong
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Jiangsu Vocational College of Agriculture and Forestry, Jurong 212400, Jiangsu, China,
IEF 2026 , 4(1), 54–60;
https://doi.org/10.26689/ief.v4i1.13854
© 2026 by the Authors. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract
With the continuous development of new-generation information technologies such as big data and artificial intelligence, society is accelerating its entry into the digital intelligence era. Under this situation, the agricultural industry has begun to transform and upgrade towards digital intelligence, which puts forward higher requirements for the abilities and literacy of agricultural talents: they are required to have a solid agricultural theoretical foundation and professional skills, as well as certain digital intelligence literacy and capabilities. Based on this, this paper mainly analyzes and studies the significance, problems, and paths of innovating the agricultural talent training model in higher vocational colleges driven by digital intelligence. The aim is to cultivate more new-type agricultural talents adapting to the development of the digital intelligence era to meet the needs of the transformation and upgrading of the modern agricultural industry, and to provide a reference for research and practice in related fields.
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