Dataset of Guava Leaf Diseases in 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.

{'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.': '本数据集源自于巴里萨尔地区贾拉卡蒂的维姆鲁利石榴园及浮市，对石榴叶与果实的状态进行分类，旨在优化作物管理。数据集包含健康与病害样本的图像，对于从事机器学习模型研究，旨在识别植物病害的研究人员和从业者而言，是一项宝贵的资源。数据集涵盖了六个类别，以支持模型的稳健训练。', 'Dataset Summary:': '数据集概要：', 'Location: Vimruli Guava Garden & Floating Market, Jhalakathi, Barisal.': '地点：巴里萨尔地区贾拉卡蒂的维姆鲁利石榴园及浮市。', 'Subjects: Guava leaves and fruits.': '主题：石榴叶与果实。', 'Purpose: Classification and detection of guava plant conditions.': '目的：石榴植物状态的分类与检测。', 'Data Distribution:': '数据分布：', 'Classes:': '类别：', '1. Algal Leaves Spot: 100 original, 1320 augmented, 1420 total': '1. 硅藻叶斑：原始样本100个，增强样本1320个，总计1420个。', '2. Dry Leaves: 52 original, 676 augmented, 728 total': '2. 干枯叶片：原始样本52个，增强样本676个，总计728个。', '3. Healthy Fruit: 50 original, 650 augmented, 700 total': '3. 健康果实：原始样本50个，增强样本650个，总计700个。', '4. Healthy Leaves: 150 original, 1600 augmented, 1750 total': '4. 健康叶片：原始样本150个，增强样本1600个，总计1750个。', '5. Insects Eaten: 164 original, 1720 augmented, 1884 total': '5. 被昆虫食害：原始样本164个，增强样本1720个，总计1884个。', '6. Red Rust: 90 original, 1170 augmented, 1260 total': '6. 红锈病：原始样本90个，增强样本1170个，总计1260个。', 'Total Samples:': '样本总数：', 'Original: 606': '原始样本：606个', 'Augmented: 7136': '增强样本：7136个', 'Overall: 7742 samples': '总计：7742个样本', 'Class Details:': '类别详情：', '1. Algal Leaves Spot: Fungal spots on leaves.': '1. 硅藻叶斑：叶片上的真菌斑点。', '2. Dry Leaves: Leaves dried from environmental/nutrient factors.': '2. 干枯叶片：因环境/营养因素导致的叶片干燥。', '3. Healthy Fruit/Leaves: Free of diseases/damage.': '3. 健康果实/叶片：无病害或损伤。', '4. Insects Eaten: Insect-caused damage on leaves.': '4. 被昆虫食害：叶片上的昆虫造成的损害。', '5. Red Rust: Reddish spots due to fungal infection.': '5. 红锈病：由真菌感染引起的红褐色斑点。', '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.': '该数据集非常适合用于训练和评估机器学习模型，以检测和分类石榴植物的多种状态，有助于实现自动病害识别和更优的农业管理。'}