An India soyabean dataset for identification and classification of diseases using computer-vision algorithms
Intelligent agriculture heavily relies on the science of agricultural disease image recognition. India is also responsible for large production of French beans, accounting for 37.25% of total production. In India from south region of Maharashtra state this crop is cultivated thrice in year. Soyabean...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-04-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924001872 |
| _version_ | 1797256369522343936 |
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| author | Jameer Kotwal Ramgopal Kashyap Mohd. Shafi Pathan |
| author_facet | Jameer Kotwal Ramgopal Kashyap Mohd. Shafi Pathan |
| author_sort | Jameer Kotwal |
| collection | DOAJ |
| description | Intelligent agriculture heavily relies on the science of agricultural disease image recognition. India is also responsible for large production of French beans, accounting for 37.25% of total production. In India from south region of Maharashtra state this crop is cultivated thrice in year. Soyabean plant is planted between the months of June through July, during the months of October and September during the rabi season, as well as in February. In the Maharashtrian regions of Pune, Satara, Ahmednagar, Solapur, and Nashik, among others, Soyabean plant is a common crop. In Maharashtra, Soyabean plant is grown over an area of around 31,050 hectares. This research presents a dataset of leaves from soyabean plants that are both insect-damaged and healthy. Images were taken over the course of fewer than two to three seasons on several farms. There are 3363 photos altogether in the seven folders that make up the dataset. Six categories comprise the dataset: I) Healthy plants II) Vein Necrosis III) Dry leaf IV) Septoria brown spot V) Root images VI) Bacterial leaf blight. This study's goal is to give academics and students accessibility to our dataset so they may use it for their studies and to build machine learning models. |
| first_indexed | 2024-03-07T16:22:59Z |
| format | Article |
| id | doaj.art-c129057e0858416fb0fcaebec53d0782 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-24T22:20:39Z |
| publishDate | 2024-04-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-c129057e0858416fb0fcaebec53d07822024-03-20T06:10:10ZengElsevierData in Brief2352-34092024-04-0153110216An India soyabean dataset for identification and classification of diseases using computer-vision algorithmsJameer Kotwal0Ramgopal Kashyap1Mohd. Shafi Pathan2Amity University Chhattisgarh, 493225, India; Corresponding author.Amity University Chhattisgarh, 493225, IndiaMITSOC, MIT ADT University, 412201, IndiaIntelligent agriculture heavily relies on the science of agricultural disease image recognition. India is also responsible for large production of French beans, accounting for 37.25% of total production. In India from south region of Maharashtra state this crop is cultivated thrice in year. Soyabean plant is planted between the months of June through July, during the months of October and September during the rabi season, as well as in February. In the Maharashtrian regions of Pune, Satara, Ahmednagar, Solapur, and Nashik, among others, Soyabean plant is a common crop. In Maharashtra, Soyabean plant is grown over an area of around 31,050 hectares. This research presents a dataset of leaves from soyabean plants that are both insect-damaged and healthy. Images were taken over the course of fewer than two to three seasons on several farms. There are 3363 photos altogether in the seven folders that make up the dataset. Six categories comprise the dataset: I) Healthy plants II) Vein Necrosis III) Dry leaf IV) Septoria brown spot V) Root images VI) Bacterial leaf blight. This study's goal is to give academics and students accessibility to our dataset so they may use it for their studies and to build machine learning models.http://www.sciencedirect.com/science/article/pii/S2352340924001872Soyabean leaf (Glycine max)DatasetsImage classificationMachine learningDeep learning |
| spellingShingle | Jameer Kotwal Ramgopal Kashyap Mohd. Shafi Pathan An India soyabean dataset for identification and classification of diseases using computer-vision algorithms Data in Brief Soyabean leaf (Glycine max) Datasets Image classification Machine learning Deep learning |
| title | An India soyabean dataset for identification and classification of diseases using computer-vision algorithms |
| title_full | An India soyabean dataset for identification and classification of diseases using computer-vision algorithms |
| title_fullStr | An India soyabean dataset for identification and classification of diseases using computer-vision algorithms |
| title_full_unstemmed | An India soyabean dataset for identification and classification of diseases using computer-vision algorithms |
| title_short | An India soyabean dataset for identification and classification of diseases using computer-vision algorithms |
| title_sort | india soyabean dataset for identification and classification of diseases using computer vision algorithms |
| topic | Soyabean leaf (Glycine max) Datasets Image classification Machine learning Deep learning |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924001872 |
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