PlantGPT is a monumental advancement in AI as it pertains to agriculture. Created by Chinese researchers, it is the first LLM designed for plant functional genomics in the world. Developed as open-source with Arabidopsis thaliana information, it demystifies complex gene-trait-phenotype relationships by allowing straightforward natural language queries. This article examines the architecture behind PlantGPT and its implications for the future of plant breeding. Most importantly, we talk about scaling and integrating it into India’s digital ecosystems, such as Farmer.Chat for field advisories and KissanGPT for vernacular knowledge delivery, connecting the dots between lab knowledge and on-farm action. A thoughtful blend of PlantGPT with India's native crops and current AI has tremendous potential. The Indian roadmap directly emphasizes the need to localize this open-source tech, for strong validation and for promoting ethical AI to exploit synthetic biology for food security.
Achyuta Basak
Dept. of Genetics and Plant Breeding, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, West Bengal (736 165), India
Sagardeep Sinha*
Dept. of Soil Science and Agricultural Chemistry, Uttar Banga Krishi Viswavidyalaya, Pundibari, Cooch Behar, West Bengal (736 165), India
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