Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data
Fruits, which are packed with nutrients, vitamins, and antioxidants, have been known for their numerous health benefits and curative powers, and are utilized in conventional medicine. Aegle Marmelos, Lemon, and Hog Plum are tangy fruits widely recognized in Asian countries for containing a plentiful...
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Elsevier
2025-06-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340925003221 |
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| author | Mohammad Rezwanul Huq Jubaer Ahmed Raiyan Gani Maherun Nessa Isty Tasmia Islam |
| author_facet | Mohammad Rezwanul Huq Jubaer Ahmed Raiyan Gani Maherun Nessa Isty Tasmia Islam |
| author_sort | Mohammad Rezwanul Huq |
| collection | DOAJ |
| description | Fruits, which are packed with nutrients, vitamins, and antioxidants, have been known for their numerous health benefits and curative powers, and are utilized in conventional medicine. Aegle Marmelos, Lemon, and Hog Plum are tangy fruits widely recognized in Asian countries for containing a plentiful supply of bioactive substances. They are also highly valuable in boosting metabolism, possessing tremendous therapeutic properties, and holding financial significance. The leaves of these fruit trees are as essential as their fruits, as they contain versatile medicinal and dietary benefits of immense value. However, these leaves are often affected by various fungal and other diseases, which reduce the ability for healthy growth and productivity of both fruits and leaves. Plants infected with various leaf diseases can produce fewer fruits, which are also of lower quality due to failure to reach maturity and lack of sufficient nutritional value. For these reasons, there is a risk of an outbreak in orchards, which can lead to significant financial losses for both producers and the agricultural sector. This signifies that the early identification of leaf diseases and the management of orchards are essential to minimize the impact of leaf diseases and mitigate these issues, ensuring the healthy production of valuable medicinal fruits. In this paper, various infected leaf images are collected from different regions of Rangpur, providing a comprehensive dataset comprising 3941 images. The dataset includes images of three different plant leaves, where 1513 images of Aegle Marmelos, 1232 images of Lemon, and 1196 of Hog plum, where each of the categories encompasses several classes of common leaf diseases. Through this dataset, an early and accurate digital detection system can be employed, allowing producers to clearly identify diseases instead of relying on traditional methods. The precise and timely identification of leaf diseases enables the control of these diseases by taking necessary actions, ensuring the sustainability of plants, and promoting the healthy growth of these invaluable medicinal fruits. |
| format | Article |
| id | doaj-art-c6842e67f80f443daa95e7c003f0953f |
| institution | DOAJ |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-c6842e67f80f443daa95e7c003f0953f2025-08-20T03:10:25ZengElsevierData in Brief2352-34092025-06-016011159010.1016/j.dib.2025.111590Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley DataMohammad Rezwanul Huq0Jubaer Ahmed1Raiyan Gani2Maherun Nessa Isty3Tasmia Islam4Corresponding author.; Department of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, BangladeshDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, BangladeshDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, BangladeshDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, BangladeshDepartment of Computer Science and Engineering, East West University, Aftabnagar, Dhaka, BangladeshFruits, which are packed with nutrients, vitamins, and antioxidants, have been known for their numerous health benefits and curative powers, and are utilized in conventional medicine. Aegle Marmelos, Lemon, and Hog Plum are tangy fruits widely recognized in Asian countries for containing a plentiful supply of bioactive substances. They are also highly valuable in boosting metabolism, possessing tremendous therapeutic properties, and holding financial significance. The leaves of these fruit trees are as essential as their fruits, as they contain versatile medicinal and dietary benefits of immense value. However, these leaves are often affected by various fungal and other diseases, which reduce the ability for healthy growth and productivity of both fruits and leaves. Plants infected with various leaf diseases can produce fewer fruits, which are also of lower quality due to failure to reach maturity and lack of sufficient nutritional value. For these reasons, there is a risk of an outbreak in orchards, which can lead to significant financial losses for both producers and the agricultural sector. This signifies that the early identification of leaf diseases and the management of orchards are essential to minimize the impact of leaf diseases and mitigate these issues, ensuring the healthy production of valuable medicinal fruits. In this paper, various infected leaf images are collected from different regions of Rangpur, providing a comprehensive dataset comprising 3941 images. The dataset includes images of three different plant leaves, where 1513 images of Aegle Marmelos, 1232 images of Lemon, and 1196 of Hog plum, where each of the categories encompasses several classes of common leaf diseases. Through this dataset, an early and accurate digital detection system can be employed, allowing producers to clearly identify diseases instead of relying on traditional methods. The precise and timely identification of leaf diseases enables the control of these diseases by taking necessary actions, ensuring the sustainability of plants, and promoting the healthy growth of these invaluable medicinal fruits.http://www.sciencedirect.com/science/article/pii/S2352340925003221Fruit leaf disease identificationAgricultural challengesAegle Marmelos leaf diseaseHog plum leaf diseaseLemon leaf disease |
| spellingShingle | Mohammad Rezwanul Huq Jubaer Ahmed Raiyan Gani Maherun Nessa Isty Tasmia Islam Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data Data in Brief Fruit leaf disease identification Agricultural challenges Aegle Marmelos leaf disease Hog plum leaf disease Lemon leaf disease |
| title | Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data |
| title_full | Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data |
| title_fullStr | Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data |
| title_full_unstemmed | Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data |
| title_short | Comprehensive smartphone image dataset for Aegle Marmelos, Hog plum, and lemon plant leaf disease and freshness assessmentMendeley Data |
| title_sort | comprehensive smartphone image dataset for aegle marmelos hog plum and lemon plant leaf disease and freshness assessmentmendeley data |
| topic | Fruit leaf disease identification Agricultural challenges Aegle Marmelos leaf disease Hog plum leaf disease Lemon leaf disease |
| url | http://www.sciencedirect.com/science/article/pii/S2352340925003221 |
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