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@article{191957,
        author = {JINDE KEERTHANA and JINDE KAVYA and B.USHARANI and Medari Vijayasree and Dr. Arjun Kuruva and Dr. C.V. Madhusudan Reddy},
        title = {Agribot: An AI-Powered Farmer's Companion},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {8570-8574},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=191957},
        abstract = {Agriculture has been a challenging industry as it still faces many issues in the form of climacteric variation, agricultural soil degradation, agricultural diseases, etc., besides the unavailability of timely access to expert information services in this field. This paper aims to present an intelligent agricultural decision-support tool in the context of Artificial Intelligence technology in the context of an "Agribot," an Artificial Intelligence solution aiming to improve the agriculture sector through intelligent agricultural decision-support services for this challenging industry in a more accurate manner.
The intelligent agricultural decision-support tool aims at employing machine intelligence in agricultural disease detection, fertilization, natural language processing, as well as real-time weather information services through public external API services to enhance the accuracy of agricultural analysis services for the challenging agriculture industry. Moreover, this tool has been implemented through Python, TensorFlow, Scikit-Learn, along with Open Weather API to enhance precision in agriculture as well as to promote sustainable agriculture in this challenging industry.},
        keywords = {Artificial Intelligence, Precision Agriculture, Crop Disease Prediction, NLP, Decision Support Systems.},
        month = {January},
        }