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@article{179491,
        author = {Pravin B. Chavan and Kiran D. Salunkhe and Shubhangi C. Deshmukh},
        title = {USE OF ARTIFICIAL NEURAL NETWORK (ANN) & FUZZY LOGIC FOR GRAPE LEAF DISEASE DETECTION AND GRADING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7824-7827},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179491},
        abstract = {Automatic grape leaf disease detection is a key area of agricultural research since it has the potential to assist in monitoring vast grape crop fields and, as a result, automatically identify symptoms of disease as soon as they appear on plant leaves. Disease causes damage to crops or plants in the agriculture sector. We can protect the crop against disease by using a variety of medications if we can identify the illness in its early stages. The agriculture industry has seen rapid advancements in both the quantity and quality of grape production from grape plants or crop cultivation, but the presence of pests and diseases on crops, particularly on leaves, has lowered the quality of agricultural goods. The quality and amount of grape farming will decline if the presence of pests on plants and leaves is not adequately monitored and the prompt remedy is not given, leading to an increase in poverty, food insecurity, and the mortality rate. This negative impact might be particularly disruptive to a nation's economy, particularly in one where 70% of the population depends on the agricultural industry's output for their survival. One of the key challenges for farmers is to reduce or eliminate the proliferation of pests that harm crop production. An organism is considered a pest if it transmits disease, causes harm, or is simply annoying. The most typical pests impacting plants are aphids, fungus, gnats, flies, thrips, slugs, snails, mites, and caterpillars. Pests cause sporadic outbreaks of diseases, which result in hunger and a scarcity of food.},
        keywords = {},
        month = {May},
        }