Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data
Agriculture is a cornerstone of Bangladesh's economy, with tomatoes being one of the most widely cultivated vegetables, producing approximately 368,000 tons annually. However, tomato plants are vulnerable to various diseases and pest infestations that can significantly reduce crop yield, posing...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
|
| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925002525 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849725319096827904 |
|---|---|
| author | Ahmed Imtiaz Fahad Bin Islam Swapnil Syed Rayhan Masud Debajyoti Karmaker |
| author_facet | Ahmed Imtiaz Fahad Bin Islam Swapnil Syed Rayhan Masud Debajyoti Karmaker |
| author_sort | Ahmed Imtiaz |
| collection | DOAJ |
| description | Agriculture is a cornerstone of Bangladesh's economy, with tomatoes being one of the most widely cultivated vegetables, producing approximately 368,000 tons annually. However, tomato plants are vulnerable to various diseases and pest infestations that can significantly reduce crop yield, posing a threat to farmers’ livelihoods. Early detection of these diseases, often visible through symptoms on the leaves, is critical for effective management. In this work, we present a dataset of 731 high-resolution images of tomato leaves affected by six common diseases, along with healthy samples, aimed at facilitating automated disease diagnosis using computer vision. The dataset is categorized into disease types such as Early Blight, Black Spot, Late Blight, Leaf Mold, Bacterial Spot, and Target Spot. This structured dataset offers a valuable resource for researchers developing machine learning models for disease classification and early detection. By making the dataset publicly available, we aim to accelerate research in precision agriculture and empower the development of AI-driven tools that can enhance tomato disease management, ultimately improving crop yields and supporting sustainable farming practices. |
| format | Article |
| id | doaj-art-1dbde1085fd74cb38f85c5b14d0f1eac |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-1dbde1085fd74cb38f85c5b14d0f1eac2025-08-20T03:10:30ZengElsevierData in Brief2352-34092025-06-016011152010.1016/j.dib.2025.111520Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley DataAhmed Imtiaz0Fahad Bin Islam Swapnil1Syed Rayhan Masud2Debajyoti Karmaker3Department of Computer Science, American International University-Bangladesh, Dhaka 1229, BangladeshFaculty of Agriculture, Khulna agricultural University-Bangladesh, Khulna 9100, BangladeshDepartment of Computer Science, American International University-Bangladesh, Dhaka 1229, BangladeshDepartment of Computer Science, American International University-Bangladesh, Dhaka 1229, Bangladesh; Corresponding authorAgriculture is a cornerstone of Bangladesh's economy, with tomatoes being one of the most widely cultivated vegetables, producing approximately 368,000 tons annually. However, tomato plants are vulnerable to various diseases and pest infestations that can significantly reduce crop yield, posing a threat to farmers’ livelihoods. Early detection of these diseases, often visible through symptoms on the leaves, is critical for effective management. In this work, we present a dataset of 731 high-resolution images of tomato leaves affected by six common diseases, along with healthy samples, aimed at facilitating automated disease diagnosis using computer vision. The dataset is categorized into disease types such as Early Blight, Black Spot, Late Blight, Leaf Mold, Bacterial Spot, and Target Spot. This structured dataset offers a valuable resource for researchers developing machine learning models for disease classification and early detection. By making the dataset publicly available, we aim to accelerate research in precision agriculture and empower the development of AI-driven tools that can enhance tomato disease management, ultimately improving crop yields and supporting sustainable farming practices.http://www.sciencedirect.com/science/article/pii/S2352340925002525Tomato leaf classificationDisease predictionDeep LearningImage annotationMachine learning in agricultureImage processing in agriculture |
| spellingShingle | Ahmed Imtiaz Fahad Bin Islam Swapnil Syed Rayhan Masud Debajyoti Karmaker Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data Data in Brief Tomato leaf classification Disease prediction Deep Learning Image annotation Machine learning in agriculture Image processing in agriculture |
| title | Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data |
| title_full | Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data |
| title_fullStr | Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data |
| title_full_unstemmed | Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data |
| title_short | Tomato leaf dataset: A dataset for multiclass disease detection and classificationMendeley Data |
| title_sort | tomato leaf dataset a dataset for multiclass disease detection and classificationmendeley data |
| topic | Tomato leaf classification Disease prediction Deep Learning Image annotation Machine learning in agriculture Image processing in agriculture |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925002525 |
| work_keys_str_mv | AT ahmedimtiaz tomatoleafdatasetadatasetformulticlassdiseasedetectionandclassificationmendeleydata AT fahadbinislamswapnil tomatoleafdatasetadatasetformulticlassdiseasedetectionandclassificationmendeleydata AT syedrayhanmasud tomatoleafdatasetadatasetformulticlassdiseasedetectionandclassificationmendeleydata AT debajyotikarmaker tomatoleafdatasetadatasetformulticlassdiseasedetectionandclassificationmendeleydata |