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@article{158652,
        author = {Sandhya Naganaboyina and Vasudharini Chintada and Vasudha Kandula and Ashritha Sri Manjeera Gollapudi and Dr.Madhusudhana Subramanyam and Dr. G. Raja Govindan},
        title = {IMAGE PRESCRIPTION AND MACHINE LEARNING FOR CLASSIFICATION OF PLANT LEAF DISEASES DETECTION},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {330-334},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158652},
        abstract = {As the source of human energy, plants are seen as being significant. Plant diseases can harm leaves at any point between planting and harvesting, greatly reducing crop production and market value. Thus, the early diagnosis of leaf disease is crucial in agricultural fields. Unfortunately, it necessitates a significant amount of labour, prolonged processing, and in-depth understanding of plant diseases. Because machine learning classifies data into a predefined set of categories after analysing it from many angles, it can be used to detect diseases in plant leaves. For classification, physical characteristics and traits including the colour, The quantity and size of plant leaves are considered. This research gives an overviewof several plant disease kinds and various machine learning classification approaches that are employed for detecting illnesses in diverse plant leaves.},
        keywords = {Support Vector Machine, Machine Learning, Artificial Neural Network, Classification, Disease Detection},
        month = {},
        }