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Writer's pictureAI4AGRI project team

AI4Agri WP2 Recap: Identifying AI Knowledge Gaps and Training Needs in Agriculture

Updated: Dec 27, 2024

As we are working to develop the AI4Agri curriculum and pedagogical manual, let’s review the outcomes of WP2's activities.


After the desk research, surveys and roundtables had been conducted to identifying agriculture workers and entrepreneurs’ AI-related knowledge, needs and skill gaps.


The survey carried out in the four countries revealed that all four countries lack in a wide range of knowledge on the subject. 


In Poland, they have an average knowledge of the main adaptive factors of the technology use in agriculture. 


In Sweden they have the highest level of awareness about AI, but this is not associated with hand-on experience in AI applications. They also seem to be aware of the environmental benefits of AI use in agriculture and the efficient improvement and productivity in agricultural practices. On the contrary, in the rest of the countries, only half of the participants seem to be aware of the above-mentioned benefits. 


In Cyprus there is a very low level of knowledge and implementation of AI use in agriculture. 


In Greece, most of the workforce either are kind of familiar or not familiar at all with such concepts, there is a small number that is working with AI technologies but in general, there is lack of knowledge.


Both the survey and roundtable findings revealed a significant skill gap among agricultural workers and entrepreneurs. There is a need for raising awareness on the digitalization of agriculture, the contribution of AI in sustainable development and green decision making. There is also a clear need for customized training programs that focus on practical applications of AI in agriculture.

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