Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification
This article presents a dataset of insect-damaged soybean leaves. The capture of images was carried out on several soy farms, under realistic weather conditions, using two cell phones and a UAV. The dataset consists of 3 (three) folders with a total of 6,410 images. The dataset is divided into three...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2022-02-01
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| Series: | Data in Brief |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921010313 |
| _version_ | 1818972629500952576 |
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| author | Maria Eloisa Mignoni Aislan Honorato Rafael Kunst Rodrigo Righi Angélica Massuquetti |
| author_facet | Maria Eloisa Mignoni Aislan Honorato Rafael Kunst Rodrigo Righi Angélica Massuquetti |
| author_sort | Maria Eloisa Mignoni |
| collection | DOAJ |
| description | This article presents a dataset of insect-damaged soybean leaves. The capture of images was carried out on several soy farms, under realistic weather conditions, using two cell phones and a UAV. The dataset consists of 3 (three) folders with a total of 6,410 images. The dataset is divided into three categories: (I) healthy plants, (II) plants affected by caterpillars, and (III) images of plants damaged by Diabrotica speciosa. This dataset allows training and validation of machine learning models to diagnose, recognize, and classify soybeans affected by caterpillars or Diabrotica speciosa. The images can be processed according to the user’s need since only the size was standardized during the pre-processing phase. |
| first_indexed | 2024-12-20T15:11:18Z |
| format | Article |
| id | doaj.art-06d0b7339f534017a50783c1a44a4b34 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-20T15:11:18Z |
| publishDate | 2022-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-06d0b7339f534017a50783c1a44a4b342022-12-21T19:36:19ZengElsevierData in Brief2352-34092022-02-0140107756Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classificationMaria Eloisa Mignoni0Aislan Honorato1Rafael Kunst2Rodrigo Righi3Angélica Massuquetti4Corresponding author.; Universidade do Estado de Mato Grosso Carlos Alberto Reyes Maldonado, Avenida das Garças, 1192, Centro, Nova Mutum, MT 78450-000, BrazilCentro Universitário Univag, Av. Dom Orlando Chaves, 2655, Bairro Cristo Rei, Várzea Grande, MT 78118-900, BrazilApplied Computing Graduate Program University of Vale do Rio dos Sinos (Unisinos), Av. Unisinos, 950, Bairro Cristo Rei, São Leopoldo, RS 93022-750, Brazil; Graduate Program in Economics University of Vale do Rio dos Sinos (Unisinos), Av. Dr. Nilo Peçanha, 1600 - Boa Vista, Porto Alegre, RS 91330-002, BrazilApplied Computing Graduate Program University of Vale do Rio dos Sinos (Unisinos), Av. Unisinos, 950, Bairro Cristo Rei, São Leopoldo, RS 93022-750, BrazilGraduate Program in Economics University of Vale do Rio dos Sinos (Unisinos), Av. Dr. Nilo Peçanha, 1600 - Boa Vista, Porto Alegre, RS 91330-002, BrazilThis article presents a dataset of insect-damaged soybean leaves. The capture of images was carried out on several soy farms, under realistic weather conditions, using two cell phones and a UAV. The dataset consists of 3 (three) folders with a total of 6,410 images. The dataset is divided into three categories: (I) healthy plants, (II) plants affected by caterpillars, and (III) images of plants damaged by Diabrotica speciosa. This dataset allows training and validation of machine learning models to diagnose, recognize, and classify soybeans affected by caterpillars or Diabrotica speciosa. The images can be processed according to the user’s need since only the size was standardized during the pre-processing phase.http://www.sciencedirect.com/science/article/pii/S2352340921010313AgricultureSoybeanImages datasetsInsects |
| spellingShingle | Maria Eloisa Mignoni Aislan Honorato Rafael Kunst Rodrigo Righi Angélica Massuquetti Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification Data in Brief Agriculture Soybean Images datasets Insects |
| title | Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification |
| title_full | Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification |
| title_fullStr | Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification |
| title_full_unstemmed | Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification |
| title_short | Soybean images dataset for caterpillar and Diabrotica speciosa pest detection and classification |
| title_sort | soybean images dataset for caterpillar and diabrotica speciosa pest detection and classification |
| topic | Agriculture Soybean Images datasets Insects |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921010313 |
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