PDF(Pubmed)
Abstract：
Papaya, renowned for its nutritional benefits, represents a highly profitable crop. However, it is susceptible to various diseases that can significantly impede fruit productivity and quality. Among these, leaf diseases pose a substantial threat, severely impacting the growth of papaya plants. Consequently, papaya farmers frequently encounter numerous challenges and financial setbacks. To facilitate the easy and efficient identification of papaya leaf diseases, a comprehensive dataset has been assembled. This dataset, comprising approximately 1400 images of diseased, infected, and healthy leaves, aims to enhance the understanding of how these ailments affect papaya plants. The images, meticulously collected from diverse regions and under varying weather conditions, offer detailed insights into the disease patterns specific to papaya leaves. Stringent measures have been taken to ensure the dataset\'s quality and enhance its utility. The images, captured from multiple angles and boasting high resolution are designed to aid in the development of a highly accurate model. Additionally, RGB mode has been employed to meticulously capture each detail, ensuring a flawless representation of the leaves. The dataset meticulously identifies and categorizes five primary types of leaf diseases: Leaf Curl (inclusive of its initial stage), Papaya Mosaic, Ring Spot, Mites (specifically, those affected by Red Spider Mites), and Mealybug. These diseases are recognized for their detrimental effects on both the leaves and the overall fruit production of the papaya plant. By leveraging this curated dataset, it is possible to train a model for the real-time detection of leaf diseases, significantly aiding in the timely identification of such conditions.
摘要：
木瓜,以其营养益处而闻名，代表一种高利润的作物。然而,它容易受到各种疾病的影响，这些疾病会严重影响水果的产量和质量。其中,叶部病害构成重大威胁,严重影响木瓜植物的生长。因此,木瓜农民经常遇到许多挑战和财务挫折。为方便木瓜叶部病害的简便高效鉴定,已经收集了一个全面的数据集。这个数据集，包括大约1400张患病的图像，感染,和健康的叶子，旨在加强对这些疾病如何影响木瓜植物的理解。图像，从不同地区和不同天气条件下精心收集，提供有关木瓜叶特有的疾病模式的详细见解。已经采取了严格的措施来确保数据集的质量并提高其实用性。图像，从多个角度捕获和拥有高分辨率的设计，以帮助在一个高度精确的模型的发展。此外,RGB模式已被用来精心捕捉每个细节，确保叶子的完美表现。该数据集精心识别并分类了五种主要类型的叶片疾病：叶片卷曲（包括其初始阶段），木瓜马赛克，环斑,螨(特别是，受红蜘蛛螨影响的人)，还有Mealybug.这些疾病因其对木瓜植物的叶片和整个果实生产的有害影响而被认识到。通过利用这个精选的数据集，可以训练实时检测叶片病害的模型，大大有助于及时识别这些条件。
