Expanding Innovation in Agriculture: Case Study on Adoptable Technologies Using GenAI Based on Traditional Knowledge Management

Abstract

Given the demand for more and better food by 2050, the use of technologies in agricultural activities is the most appropriate way to strengthen the sector; however, their adoption remains a milestone for small-scale agriculture. Currently, GenAI, established as a tool to facilitate organizational adaptability in dynamic environments, has been integrated into industry, education, and medicine, and it is time to enable technological adoption in agricultural settings. Therefore, considering a combination of chain sampling and judgmental sampling methods, including 24 small-scale producers and nine studies, through roadmapping and qualitative prompt methodologies, in addition to social and productive characteristics, this study combines GenAI with the characterization of traditional knowledge management to design a proposal for adoptable technologies for small-scale pipiana pumpkin producers in Mexico, involving researchers in the region. The results expand on technologies aligned with the experience, skills, and practices embedded in the sowing–harvest circuit and in initial crop disposal. The research data may interest researchers, policymakers, and associations interested in combining technology and TK for agricultural development as a novel way of characterizing them; however, its applicability must be verified.