Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania
Maize is one of the most important staple food and cash crops that are largely produced by majority of smallholder farmers throughout the humid and sub-humid tropic of Africa. Despite its significance in the household food security and income, diseases, especially Maize Lethal Necrosis and Maize Str...
| 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/S2352340923002275 |
| _version_ | 1797798049725022208 |
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| author | Neema Mduma Hudson Laizer |
| author_facet | Neema Mduma Hudson Laizer |
| author_sort | Neema Mduma |
| collection | DOAJ |
| description | Maize is one of the most important staple food and cash crops that are largely produced by majority of smallholder farmers throughout the humid and sub-humid tropic of Africa. Despite its significance in the household food security and income, diseases, especially Maize Lethal Necrosis and Maize Streak, have been significantly affecting production of this crop. This paper offers a dataset of well curated images of maize crop for both healthy and diseased leaves captured using smartphone camera in Tanzania. The dataset is the largest publicly accessible dataset for maize leaves with a total of 18,148 images, which can be used to develop machine learning models for the early detection of diseases affecting maize. Moreover, the dataset can be used to support computer vision applications such as image segmentation, object detection and classification. The goal of generating this dataset is to assist the development of comprehensive tools that will help farmers in the diagnosis of diseases and the enhancement of maize yields thus eradicating the problem of fod security in Tanzania and other parts in Africa. |
| first_indexed | 2024-03-13T03:57:36Z |
| format | Article |
| id | doaj.art-1a46b024d48a46f8bcbb4bb366534830 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-03-13T03:57:36Z |
| publishDate | 2023-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-1a46b024d48a46f8bcbb4bb3665348302023-06-22T05:03:36ZengElsevierData in Brief2352-34092023-06-0148109108Machine Learning Imagery Dataset for Maize Crop: A Case of TanzaniaNeema Mduma0Hudson Laizer1The Nelson Mandela African Institution of Science and Technology, Department of Information and Communication Sciences and Engineering, P o Box 447, Tengeru, Arusha - Tanzania; Corresponding author's email address and Twitter handle.Mbeya University of Science and Technology, Department of Natural Sciences , P o Box 131, Mbeya - TanzaniaMaize is one of the most important staple food and cash crops that are largely produced by majority of smallholder farmers throughout the humid and sub-humid tropic of Africa. Despite its significance in the household food security and income, diseases, especially Maize Lethal Necrosis and Maize Streak, have been significantly affecting production of this crop. This paper offers a dataset of well curated images of maize crop for both healthy and diseased leaves captured using smartphone camera in Tanzania. The dataset is the largest publicly accessible dataset for maize leaves with a total of 18,148 images, which can be used to develop machine learning models for the early detection of diseases affecting maize. Moreover, the dataset can be used to support computer vision applications such as image segmentation, object detection and classification. The goal of generating this dataset is to assist the development of comprehensive tools that will help farmers in the diagnosis of diseases and the enhancement of maize yields thus eradicating the problem of fod security in Tanzania and other parts in Africa.http://www.sciencedirect.com/science/article/pii/S2352340923002275MaizeMaize Lethal NecrosisMaize Streak VirusLeavesImage |
| spellingShingle | Neema Mduma Hudson Laizer Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania Data in Brief Maize Maize Lethal Necrosis Maize Streak Virus Leaves Image |
| title | Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania |
| title_full | Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania |
| title_fullStr | Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania |
| title_full_unstemmed | Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania |
| title_short | Machine Learning Imagery Dataset for Maize Crop: A Case of Tanzania |
| title_sort | machine learning imagery dataset for maize crop a case of tanzania |
| topic | Maize Maize Lethal Necrosis Maize Streak Virus Leaves Image |
| url | http://www.sciencedirect.com/science/article/pii/S2352340923002275 |
| work_keys_str_mv | AT neemamduma machinelearningimagerydatasetformaizecropacaseoftanzania AT hudsonlaizer machinelearningimagerydatasetformaizecropacaseoftanzania |