Rice pest dataset supports the construction of smart farming systems
Rice holds a significant position in the global food supply chain, particularly in Asian, African, and Latin American countries. However, rice pests and diseases cause significant damage to the supply and growth of the rice cultivation industry. Therefore, this article provides a high-quality datase...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924000209 |
| _version_ | 1797317140073676800 |
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| author | Luyl-Da Quach Quoc Khang Nguyen Quynh Anh Nguyen Le Thi Thu Lan |
| author_facet | Luyl-Da Quach Quoc Khang Nguyen Quynh Anh Nguyen Le Thi Thu Lan |
| author_sort | Luyl-Da Quach |
| collection | DOAJ |
| description | Rice holds a significant position in the global food supply chain, particularly in Asian, African, and Latin American countries. However, rice pests and diseases cause significant damage to the supply and growth of the rice cultivation industry. Therefore, this article provides a high-quality dataset that has been reviewed by agricultural experts. The dataset is well-suited to support the development of automation systems and smart farming practices. It plays a vital role in facilitating the automatic construction, detection, and classification of rice diseases. However, challenges arise due to the diversity of the dataset collected from various sources, varying in terms of disease types and sizes. This necessitates support for upgrading and enhancing the dataset through various operations in data processing, preprocessing, and statistical analysis. The dataset is provided completely free of charge and has been rigorously evaluated by agricultural experts, making it a reliable resource for system development, research, and communication needs. |
| first_indexed | 2024-03-08T03:30:32Z |
| format | Article |
| id | doaj.art-ae7b8241cd9e4e13b7cddf7e6f87121a |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:32Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-ae7b8241cd9e4e13b7cddf7e6f87121a2024-02-11T05:11:04ZengElsevierData in Brief2352-34092024-02-0152110046Rice pest dataset supports the construction of smart farming systemsLuyl-Da Quach0Quoc Khang Nguyen1Quynh Anh Nguyen2Le Thi Thu Lan3Corresponding author.; FPT University, Can Tho campus, Cantho city, VietnamFPT University, Can Tho campus, Cantho city, VietnamFPT University, Can Tho campus, Cantho city, VietnamFPT University, Can Tho campus, Cantho city, VietnamRice holds a significant position in the global food supply chain, particularly in Asian, African, and Latin American countries. However, rice pests and diseases cause significant damage to the supply and growth of the rice cultivation industry. Therefore, this article provides a high-quality dataset that has been reviewed by agricultural experts. The dataset is well-suited to support the development of automation systems and smart farming practices. It plays a vital role in facilitating the automatic construction, detection, and classification of rice diseases. However, challenges arise due to the diversity of the dataset collected from various sources, varying in terms of disease types and sizes. This necessitates support for upgrading and enhancing the dataset through various operations in data processing, preprocessing, and statistical analysis. The dataset is provided completely free of charge and has been rigorously evaluated by agricultural experts, making it a reliable resource for system development, research, and communication needs.http://www.sciencedirect.com/science/article/pii/S2352340924000209Deep learningMachine learningImage segmentationComputer visionRice disease |
| spellingShingle | Luyl-Da Quach Quoc Khang Nguyen Quynh Anh Nguyen Le Thi Thu Lan Rice pest dataset supports the construction of smart farming systems Data in Brief Deep learning Machine learning Image segmentation Computer vision Rice disease |
| title | Rice pest dataset supports the construction of smart farming systems |
| title_full | Rice pest dataset supports the construction of smart farming systems |
| title_fullStr | Rice pest dataset supports the construction of smart farming systems |
| title_full_unstemmed | Rice pest dataset supports the construction of smart farming systems |
| title_short | Rice pest dataset supports the construction of smart farming systems |
| title_sort | rice pest dataset supports the construction of smart farming systems |
| topic | Deep learning Machine learning Image segmentation Computer vision Rice disease |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924000209 |
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