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@article{206590,
        author = {Bhavishya M Rai and Megha Rai and Reshma M and Shruthali Gaapathi Sharma},
        title = {Digitalization And Validation of Traditional Agricultural Knowledge on Seed Sowing Using OCR And NLP},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {no},
        pages = {55-59},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=206590},
        abstract = {Agriculture has a major role in supporting livelihoods, especially in regions that depends heavily on rainfall. Traditional agricultural knowledge related to seed sowing and crop behavior during rainfall is often documented in regional languages like Kannada, making it difficult to access and analyze. This project aims to develop a system that extracts such information from scanned Kannada documents using Optical Character Recognition (OCR) and translates it into English using Natural Language Processing (NLP). Further than translation, the system also attempts to evaluate the relevance of traditional agricultural practices by comparing them with present day weather patterns and modern agricultural knowledge. This allows us to understand whether these practices are still applicable in changing climate conditions. The overall goal is to make regional knowledge easily accessible and support better decision-making for both farmers and researchers.},
        keywords = {.},
        month = {July},
        }