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@article{192619,
        author = {R.Senthil Kumar and R.Sasmedha and J.Shri Shadha and K.Subhageetha},
        title = {SUSTAINABLE FARMING THROUGH INTELLIGENT LEAF DISEASE MONITORING USING YOLOv8 AND LEAFNET DEEP LEARNING MODELS},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2123-2129},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192619},
        abstract = {In the modern era of rapid technological advancement, agriculture must adopt intelligent systems to enhance crop productivity and minimize losses caused by plant diseases. Conventional disease identification methods depend largely on manual inspection by agricultural experts, which is time-consuming, costly, and often inaccessible to farmers, particularly in rural areas. To address these challenges, this work presents an Intelligent Leaf Disease Detection and Farmer Assistance System based on deep learning techniques. The proposed system automatically processes leaf images acquired from real-time field conditions or standard datasets to detect plant diseases. YOLOv8 is employed to accurately localize diseased regions on the leaf surfaces, while a customized LeafNet deep learning model is used to classify the disease with high accuracy. The identified disease name and confidence score are displayed through a Graphical User Interface (GUI) along with suitable fertilizer and treatment recommendations. To improve usability, the system provides voice-based output in both English and Tamil, and all detection results are stored in a history database for future reference and crop health monitoring. The proposed approach enables early-stage disease detection, reduces dependency on agricultural experts, and supports precision farming, thereby improving agricultural productivity and promoting sustainable agriculture.},
        keywords = {Leaf Disease Detection, Deep Learning, YOLOv8, LeafNet, Precision Agriculture, Voice Assistance System, Image Processing, Sustainable Farming.},
        month = {February},
        }