Date fruit detection dataset for automatic harvesting
Date fruit is one of the most beneficial and delicious fruits in the world through its nutritional value, it's a rich source of sugar, Protein, Manganese, Fibers, and many other vitamins, on the other hand, date production in the world reached up to 9.45 million tons, one palm tree can produce...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340923009368 |
| _version_ | 1827353701662064640 |
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| author | Yousra Zarouit Hassan Zekkouri Mohamed Ouhda Brahim Aksasse |
| author_facet | Yousra Zarouit Hassan Zekkouri Mohamed Ouhda Brahim Aksasse |
| author_sort | Yousra Zarouit |
| collection | DOAJ |
| description | Date fruit is one of the most beneficial and delicious fruits in the world through its nutritional value, it's a rich source of sugar, Protein, Manganese, Fibers, and many other vitamins, on the other hand, date production in the world reached up to 9.45 million tons, one palm tree can produce dates for 40–50 years which makes date production one of the main pillars of the economy. Generally, the methods used for pre and post-harvesting are done manually, making the operation heavy in terms of time and economy. Research in the area of harvesting automation is still limited due to the absence of data. This work presents a full dataset for detection, classification, analysis, and harvesting decisions. The dataset contains a collection of images and videos for different varieties of dates at different stages of maturity, taking into consideration all the natural conditions including light, contrast, dates in bags, and multi-scaled images. The big advantage of this dataset is it can help to put agriculture research at an advanced level by robotizing all the pre and post-harvesting tasks. The dataset is published for free in ZENODO [1] https://zenodo.org/doi/10.5281/zenodo.8315234. |
| first_indexed | 2024-03-08T03:30:18Z |
| format | Article |
| id | doaj.art-668eb1eaf43a4fb38d0a4f94b7501aeb |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-08T03:30:18Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-668eb1eaf43a4fb38d0a4f94b7501aeb2024-02-11T05:10:27ZengElsevierData in Brief2352-34092024-02-0152109876Date fruit detection dataset for automatic harvestingYousra Zarouit0Hassan Zekkouri1Mohamed Ouhda2Brahim Aksasse3MIS Team, MAIS Laboratory, Department of Computer Science, Faculty of Sciences and Technics, Moulay Ismail University, BP 509 Boutalamine, Errachidia 52000, Morocco; Corresponding author.MIS Team, MAIS Laboratory, Department of Computer Science, Faculty of Sciences and Technics, Moulay Ismail University, BP 509 Boutalamine, Errachidia 52000, MoroccoTIAD Laboratory, Department of Computer and Mathematics, Higher School of Technology, Sultan Moulay Slimane University, Khenifra, MoroccoMAIS Laboratory, Department of Computer Science, Faculty of Sciences, Moulay Ismail University Meknes, MoroccoDate fruit is one of the most beneficial and delicious fruits in the world through its nutritional value, it's a rich source of sugar, Protein, Manganese, Fibers, and many other vitamins, on the other hand, date production in the world reached up to 9.45 million tons, one palm tree can produce dates for 40–50 years which makes date production one of the main pillars of the economy. Generally, the methods used for pre and post-harvesting are done manually, making the operation heavy in terms of time and economy. Research in the area of harvesting automation is still limited due to the absence of data. This work presents a full dataset for detection, classification, analysis, and harvesting decisions. The dataset contains a collection of images and videos for different varieties of dates at different stages of maturity, taking into consideration all the natural conditions including light, contrast, dates in bags, and multi-scaled images. The big advantage of this dataset is it can help to put agriculture research at an advanced level by robotizing all the pre and post-harvesting tasks. The dataset is published for free in ZENODO [1] https://zenodo.org/doi/10.5281/zenodo.8315234.http://www.sciencedirect.com/science/article/pii/S2352340923009368Date fruitsIntelligent harvestingFruit classificationFruit detection |
| spellingShingle | Yousra Zarouit Hassan Zekkouri Mohamed Ouhda Brahim Aksasse Date fruit detection dataset for automatic harvesting Data in Brief Date fruits Intelligent harvesting Fruit classification Fruit detection |
| title | Date fruit detection dataset for automatic harvesting |
| title_full | Date fruit detection dataset for automatic harvesting |
| title_fullStr | Date fruit detection dataset for automatic harvesting |
| title_full_unstemmed | Date fruit detection dataset for automatic harvesting |
| title_short | Date fruit detection dataset for automatic harvesting |
| title_sort | date fruit detection dataset for automatic harvesting |
| topic | Date fruits Intelligent harvesting Fruit classification Fruit detection |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923009368 |
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