IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data
Agriculture has always played a vital role in the economic development of Bangladesh. In Agriculture, leaf diseases have become an issue because they can lead to a major drop in both quality and quantity of crops. Therefore, leveraging technology to automatically detect diseases on leaves plays an i...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925000253 |
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| author | Adnan Rahman Sayeem Jannatul Ferdous Omi Mehedi Hasan Mayen Uddin Mojumdar Narayan Ranjan Chakraborty |
| author_facet | Adnan Rahman Sayeem Jannatul Ferdous Omi Mehedi Hasan Mayen Uddin Mojumdar Narayan Ranjan Chakraborty |
| author_sort | Adnan Rahman Sayeem |
| collection | DOAJ |
| description | Agriculture has always played a vital role in the economic development of Bangladesh. In Agriculture, leaf diseases have become an issue because they can lead to a major drop in both quality and quantity of crops. Therefore, leveraging technology to automatically detect diseases on leaves plays an important role in farming. Malabar Spinach (Basella alba) is a well-known, widely grown leafy vegetable, which is valued for its nutritional benefits. However, there is almost no dataset that can aid in identifying diseases affecting this important crop, which often leads to decreased quality as well as financial drawback. This lack of resources makes it difficult for farmers to recognize and manage common diseases. Our purpose is to solve this problem by creating a unique dataset of Bangladesh's Malabar Spinach leaves that will ease agricultural management and disease detection. Our dataset contains both healthy and diseased samples, categorised into four common ailments: Anthracnose, Bacterial Spot, Downy Mildew, and Pest Damage. We collected 3,006 original images in total. Images were collected from various locations in Bangladesh, including Mirpur, Savar, Sirajganj and Gazipur, with photographs taken under natural lighting conditions at different times of the day. This dataset will help the researchers for further research on Malabar Spinach disease detection implementing various efficient computational models and applying advanced machine learning techniques. |
| format | Article |
| id | doaj-art-7f608cf51fca43df94a225cf197dc056 |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-7f608cf51fca43df94a225cf197dc0562025-01-31T05:11:50ZengElsevierData in Brief2352-34092025-02-0158111293IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley DataAdnan Rahman Sayeem0Jannatul Ferdous Omi1Mehedi Hasan2Mayen Uddin Mojumdar3Narayan Ranjan Chakraborty4Multidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, BangladeshMultidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, BangladeshMultidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, BangladeshCorresponding author.; Multidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, BangladeshMultidisciplinary Action Research Laboratory, Department of Computer Science and Engineering, Daffodil International University, Birulia, Dhaka 1216, BangladeshAgriculture has always played a vital role in the economic development of Bangladesh. In Agriculture, leaf diseases have become an issue because they can lead to a major drop in both quality and quantity of crops. Therefore, leveraging technology to automatically detect diseases on leaves plays an important role in farming. Malabar Spinach (Basella alba) is a well-known, widely grown leafy vegetable, which is valued for its nutritional benefits. However, there is almost no dataset that can aid in identifying diseases affecting this important crop, which often leads to decreased quality as well as financial drawback. This lack of resources makes it difficult for farmers to recognize and manage common diseases. Our purpose is to solve this problem by creating a unique dataset of Bangladesh's Malabar Spinach leaves that will ease agricultural management and disease detection. Our dataset contains both healthy and diseased samples, categorised into four common ailments: Anthracnose, Bacterial Spot, Downy Mildew, and Pest Damage. We collected 3,006 original images in total. Images were collected from various locations in Bangladesh, including Mirpur, Savar, Sirajganj and Gazipur, with photographs taken under natural lighting conditions at different times of the day. This dataset will help the researchers for further research on Malabar Spinach disease detection implementing various efficient computational models and applying advanced machine learning techniques.http://www.sciencedirect.com/science/article/pii/S2352340925000253AgricultureBasella albaClassificationIdentificationImage processingPlant pathology |
| spellingShingle | Adnan Rahman Sayeem Jannatul Ferdous Omi Mehedi Hasan Mayen Uddin Mojumdar Narayan Ranjan Chakraborty IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data Data in Brief Agriculture Basella alba Classification Identification Image processing Plant pathology |
| title | IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data |
| title_full | IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data |
| title_fullStr | IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data |
| title_full_unstemmed | IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data |
| title_short | IDDMSLD: An image dataset for detecting Malabar spinach leaf diseasesMendeley Data |
| title_sort | iddmsld an image dataset for detecting malabar spinach leaf diseasesmendeley data |
| topic | Agriculture Basella alba Classification Identification Image processing Plant pathology |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925000253 |
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