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@article{196375,
        author = {Shrawani Gongshe and Prof. Priti N. Wake and Viresh Pangre and Atharv Kale and Varad Deshmukh},
        title = {KrishiMitra: An AI-Based Smart Crop Advisory System for Indian Farmers},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3127-3134},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196375},
        abstract = {The agriculture plays a vital role in the Indian economy; yet, farmers still have to face such problems as unpredictable weather condition, insufficient access to professional consultations and insufficient access to innovative farming information. The present paper presents KrishiMitra, an intelligent based on AI. A crop advisory system assists Indian to farmers in making informed decisions regarding farming. It provides an interactive web-based chatbot that educates users on farming interface, real-time advice on how to pick crops, maintain soil healthy, use fertilizer, and so forth. The processing of KrishiMitra provides farmers with agricultural tasks by means of AI and natural language. The system addresses issues in a well laid out and simple to understand manner. The proposed solution seeks to bind the conventional farming practices with recent technology which increases the productivity of crops, the system increases the sustainability of the system and quick decision making. The system is also easy to operate, expand and able to work in future. The innovations such as location and multilingual support suggestions are improved.},
        keywords = {Smart Agriculture, Artificial Intelligence, Crop Advisory System, Machine Learning, Indian Farmers, Chatbot, Precision Farming.},
        month = {April},
        }