Guava leaves diseases datasets Bangladesh

The dataset, sourced from Vimruli Guava Garden and Floating Market in Jhalakathi, Barisal, categorizes guava leaf and fruit conditions for better crop management. It includes images of healthy and diseased samples, making it a valuable resource for researchers and practitioners working on machine learning models to identify plant diseases. The dataset includes six classes for robust model training. Dataset Summary: Location: Vimruli Guava Garden & Floating Market, Jhalakathi, Barisal. Subjects: Guava leaves and fruits. Purpose: Classification and detection of guava plant conditions. Data Distribution: Classes: 1. Algal Leaves Spot: 100 original, 1320 augmented, 1420 total 2. Dry Leaves: 52 original, 676 augmented, 728 total 3. Healthy Fruit: 50 original, 650 augmented, 700 total 4. Healthy Leaves: 150 original, 1600 augmented, 1750 total 5. Insects Eaten: 164 original, 1720 augmented, 1884 total 6. Red Rust: 90 original, 1170 augmented, 1260 total Total Samples: Original: 606 Augmented: 7136 Overall: 7742 samples Class Details: 1. Algal Leaves Spot: Fungal spots on leaves. 2. Dry Leaves: Leaves dried from environmental/nutrient factors. 3. Healthy Fruit/Leaves: Free of diseases/damage. 4. Insects Eaten: Insect-caused damage on leaves. 5. Red Rust: Reddish spots due to fungal infection. This dataset is well-suited for training and evaluating machine learning models to detect and classify various conditions of guava plants, aiding in automated disease identification and better agricultural management.本数据集采集自孟加拉国巴里萨尔专区贾拉卡蒂的Vimruli番石榴园（Vimruli Guava Garden）与浮动市场（Floating Market），旨在对番石榴叶片与果实的健康状态进行分类，以优化作物管理流程。数据集包含健康与染病样本的图像，可为致力于开发植物病害识别机器学习模型的研究人员与从业者提供宝贵的研究资源。本数据集共涵盖6个类别，可支撑鲁棒性模型的训练。 数据集摘要： 采集地点：贾拉卡蒂，巴里萨尔，Vimruli番石榴园与浮动市场 研究对象：番石榴叶片与果实 应用场景：番石榴植株状态的分类与检测 数据分布： 1. 藻斑病叶（Algal Leaves Spot）：原始样本100张，数据增强样本1320张，总计1420张 2. 干枯叶片（Dry Leaves）：原始样本52张，数据增强样本676张，总计728张 3. 健康果实（Healthy Fruit）：原始样本50张，数据增强样本650张，总计700张 4. 健康叶片（Healthy Leaves）：原始样本150张，数据增强样本1600张，总计1750张 5. 虫害啃食（Insects Eaten）：原始样本164张，数据增强样本1720张，总计1884张 6. 红色锈病（Red Rust）：原始样本90张，数据增强样本1170张，总计1260张 总样本量： 原始样本总计：606张 增强样本总计：7136张 整体样本总量：7742张 类别详细说明： 1. 藻斑病叶：叶片表面出现真菌性斑点 2. 干枯叶片：因环境或营养因素导致的叶片干枯 3. 健康果实/叶片：无病害或损伤的果实与叶片 4. 虫害啃食：叶片遭受昆虫啃食造成的损伤 5. 红色锈病：由真菌感染引发的红色锈状斑点 本数据集非常适合用于训练与评估各类用于番石榴植株状态检测与分类的机器学习模型，可为自动化病害识别与精细化农业管理提供有力支撑。