A Guava Fruits and Leaves Dataset for Detection and Classification of Guava Diseases through Machine Learning

(1) Plant diseases are the primary cause of reduced productivity in agriculture, which results in economic losses. Guava is a big source of nutrients for humans all over the world. Guava diseases, on the other hand, harm the yield and quality of the crop.

(2) For the identification and classification of plant diseases, computer vision and image processing methods have been commonly used.

(3) The dataset includes an image gallery of healthy and unhealthy Guava fruits and leaves that could be used by researchers to adopt advanced computer vision techniques to protect plants from disease. Dot, Canker, Mummification, and Rust are the diseases targeted in the data sets.

(4) The dataset contains 306 images of healthy and unhealthy images for both Guava fruits and leaves collectively. Each image contains 6000 * 4000 dimensions with 300 dpi resolution.

(5) All images were acquired from the tropical areas of Pakistan under the supervision of Prof. Dr. Ikramullah Lali.

(6) All images were annotated manually by the domain expert such as For Guava fruits and leaves; Dot (76), Canker (77), Mummification (83), and Rust (70)

Note: The data labeling was manual and can be updated by automatic labeling through machine learning. In the meantime, the authors can also use the data set for the clustering problem.

(1) 植物病害是导致农业生产力下降的首要诱因，由此会造成经济损失。番石榴（Guava）是全球范围内人类重要的营养来源之一，而番石榴病害则会损害该作物的产量与品质。
(2) 在植物病害识别与分类任务中，计算机视觉与图像处理方法已得到广泛应用。
(3) 本数据集包含健康与染病番石榴果实、叶片的图像图库，可供研究人员采用先进计算机视觉技术开展植物病害防护相关研究。本数据集聚焦的病害类型包括斑点病（Dot）、溃疡病（Canker）、木乃伊化病（Mummification）以及锈病（Rust）。
(4) 本数据集共收录306幅涵盖番石榴果实与叶片的健康及染病状态的图像，单幅图像尺寸为6000×4000像素，分辨率为300 dpi。
(5) 所有图像均采集自巴基斯坦热带地区，由伊克拉穆拉·拉利教授（Prof. Dr. Ikramullah Lali）指导完成。
(6) 所有图像均由领域专家手动标注：针对番石榴果实与叶片，标注类别及对应样本量分别为斑点病（76幅）、溃疡病（77幅）、木乃伊化病（83幅）以及锈病（70幅）。

注：本数据集的标注为手动标注，后续可通过机器学习自动标注技术进行更新。此外，研究人员也可将本数据集用于聚类相关研究任务。