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@article{199046,
        author = {Arpeet Rout and Dr. Ritu Gautam},
        title = {Generative AI In Agriculture},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {15194-15200},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199046},
        abstract = {Artificial Intelligence (AI) is helping to transform the agriculture sector. This case study describes a farming advisory system, created by Generative AI, tailored to meet the needs of small farmers with limited resources. The system relies on AI models such as GPT and crop disease detection based on image to interpret the questions posed by farmers as well as crop photographs. It then provides useful advice on farming in various languages and therefore farmers can easily understand it. The system also allows farmers to download their reports in PDF and it can be used even in low-internet regions. The system will verify the usefulness of the system both technically and economically and describe the way it will work using simple diagrams and tables. The findings indicate that Generative AI has the potential to significantly enhance farming assistance, minimize knowledge gaps, and provide farmers with expert advice at any time. Such a system can also be linked in the future with weather systems, sensors, and smart farming to ensure that agriculture is more efficient and sustainable.},
        keywords = {Generative AI, Artificial Intelligence, Farming Advisory System, Small Farmers, Crop Disease Detection, Multilingual Support, PDF Reports, Smart Farming, Sustainable Agriculture},
        month = {April},
        }