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@article{165714,
        author = {Preeti Gupta and Omprakash Sinha},
        title = {Identification of Papaya Disease Using a Deep Learning Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {1},
        pages = {1789-1794},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=165714},
        abstract = {Papaya disease poses a significant threat to farmers worldwide, leading to substantial losses annually. Recognizing the urgency of mitigating these losses, researchers have increasingly focused on developing papaya disease recognition systems. However, farmers often lack awareness of detection techniques, resulting in disease identification only after the papayas are already affected, leading to wasted crops and financial losses. Consequently, many farmers are hesitant to continue papaya cultivation. To address this issue, we conducted research leveraging deep learning technology for papaya disease detection and classification},
        keywords = {Papaya Diseases, Deep Learning, Keras, Classification.},
        month = {June},
        }