A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories
Plant factories are an advanced form of facility agriculture that enable efficient plant cultivation through controllable environmental conditions, making them highly suitable for the automation and intelligent application of machinery. Tomato cultivation in plant factories has significant economic...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-06-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923004109 |
| _version_ | 1827919393865072640 |
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| author | Zhen-wei Wu Ming-hao Liu Cheng-xiu Sun Xin-fa Wang |
| author_facet | Zhen-wei Wu Ming-hao Liu Cheng-xiu Sun Xin-fa Wang |
| author_sort | Zhen-wei Wu |
| collection | DOAJ |
| description | Plant factories are an advanced form of facility agriculture that enable efficient plant cultivation through controllable environmental conditions, making them highly suitable for the automation and intelligent application of machinery. Tomato cultivation in plant factories has significant economic and agricultural value and can be utilized for various applications such as seedling cultivation, breeding, and genetic engineering. However, manual completion is still required for operations such as detection, counting, and classification of tomato fruits, and the application of machine detection is currently inefficient. Furthermore, research on the automation of tomato harvesting in plant factory environments is limited due to the lack of a suitable dataset. To address this issue, a tomato fruit dataset was constructed for plant factory environments, named as TomatoPlantfactoryDataset, which can be quickly applied to multiple tasks, including the detection of control systems, harvesting robots, yield estimation, and rapid classification and statistics. This dataset features a micro tomato variety and was captured under different artificial lighting conditions, including changes in tomato fruit, complex lighting environment changes, distance changes, occlusion, and blurring. By facilitating the intelligent application of plant factories and the widespread adoption of tomato planting machinery, this dataset can contribute to the detection of intelligent control systems, operation robots, and fruit maturity and yield estimation. The dataset is publicly available for free and can be utilized for research and communication purposes. |
| first_indexed | 2024-03-13T03:57:13Z |
| format | Article |
| id | doaj.art-a8d649a08dfe464e94339b62f030c6df |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:57:13Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-a8d649a08dfe464e94339b62f030c6df2023-06-22T05:04:16ZengElsevierData in Brief2352-34092023-06-0148109291A dataset of tomato fruits images for object detection in the complex lighting environment of plant factoriesZhen-wei Wu0Ming-hao Liu1Cheng-xiu Sun2Xin-fa Wang3School of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China; College of Mechanical and Electrical Engineering, Xinxiang University, Xinxiang, ChinaSchool of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China; College of Mechanical and Electrical Engineering, Xinxiang University, Xinxiang, ChinaSchool of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China; School of Information Engineering, Zhengzhou Electric Power Technology College, Zhengzhou, ChinaSchool of Information Engineering, Henan Institute of Science and Technology, Xinxiang, China; Corresponding author.Plant factories are an advanced form of facility agriculture that enable efficient plant cultivation through controllable environmental conditions, making them highly suitable for the automation and intelligent application of machinery. Tomato cultivation in plant factories has significant economic and agricultural value and can be utilized for various applications such as seedling cultivation, breeding, and genetic engineering. However, manual completion is still required for operations such as detection, counting, and classification of tomato fruits, and the application of machine detection is currently inefficient. Furthermore, research on the automation of tomato harvesting in plant factory environments is limited due to the lack of a suitable dataset. To address this issue, a tomato fruit dataset was constructed for plant factory environments, named as TomatoPlantfactoryDataset, which can be quickly applied to multiple tasks, including the detection of control systems, harvesting robots, yield estimation, and rapid classification and statistics. This dataset features a micro tomato variety and was captured under different artificial lighting conditions, including changes in tomato fruit, complex lighting environment changes, distance changes, occlusion, and blurring. By facilitating the intelligent application of plant factories and the widespread adoption of tomato planting machinery, this dataset can contribute to the detection of intelligent control systems, operation robots, and fruit maturity and yield estimation. The dataset is publicly available for free and can be utilized for research and communication purposes.http://www.sciencedirect.com/science/article/pii/S2352340923004109Tomato datasetFruit object detectionArtificial light plant factoryComputer vision |
| spellingShingle | Zhen-wei Wu Ming-hao Liu Cheng-xiu Sun Xin-fa Wang A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories Data in Brief Tomato dataset Fruit object detection Artificial light plant factory Computer vision |
| title | A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| title_full | A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| title_fullStr | A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| title_full_unstemmed | A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| title_short | A dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| title_sort | dataset of tomato fruits images for object detection in the complex lighting environment of plant factories |
| topic | Tomato dataset Fruit object detection Artificial light plant factory Computer vision |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923004109 |
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