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LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves

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Facultad de Ciencias Informáticas, Universidad Técnica de Manabí, Avenida Jose María Urbina, Portoviejo 130104, Ecuador
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Carrera de Computación, Escuela Superior Politécnica Agropecuaria de Manabí, Sitio El Limón, Calceta 130250, Ecuador
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Author to whom correspondence should be addressed.
Academic Editors: Munish Kumar, R. K. Sharma and Ishwar Sethi
Received: 14 April 2021 / Revised: 10 May 2021 / Accepted: 12 May 2021 / Published: 17 May 2021
(This article belongs to the Special Issue Machine Learning in Image Analysis and Pattern Recognition)
Aphids are small insects that feed on plant sap, and they belong to a superfamily called Aphoidea. They are among the major pests causing damage to citrus crops in most parts of the world. Precise and automatic identification of aphids is needed to understand citrus pest dynamics and management. This article presents a dataset that contains 665 healthy and unhealthy lemon leaf images. The latter are leaves with the presence of aphids, and visible white spots characterize them. Moreover, each image includes a set of annotations that identify the leaf, its health state, and the infestation severity according to the percentage of the affected area on it. Images were collected manually in real-world conditions in a lemon plant field in Junín, Manabí, Ecuador, during the winter, by using a smartphone camera. The dataset is called LeLePhid: lemon (Le) leaf (Le) image dataset for aphid (Phid) detection and infestation severity. The data can facilitate evaluating models for image segmentation, detection, and classification problems related to plant disease recognition. View Full-Text
Keywords: plant disease recognition; image segmentation; image classification; aphid; Aphoidea; lemon plant disease recognition; image segmentation; image classification; aphid; Aphoidea; lemon
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MDPI and ACS Style

Parraga-Alava, J.; Alcivar-Cevallos, R.; Morales Carrillo, J.; Castro, M.; Avellán, S.; Loor, A.; Mendoza, F. LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves. Data 2021, 6, 51. https://0-doi-org.brum.beds.ac.uk/10.3390/data6050051

AMA Style

Parraga-Alava J, Alcivar-Cevallos R, Morales Carrillo J, Castro M, Avellán S, Loor A, Mendoza F. LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves. Data. 2021; 6(5):51. https://0-doi-org.brum.beds.ac.uk/10.3390/data6050051

Chicago/Turabian Style

Parraga-Alava, Jorge, Roberth Alcivar-Cevallos, Jéssica Morales Carrillo, Magdalena Castro, Shabely Avellán, Aaron Loor, and Fernando Mendoza. 2021. "LeLePhid: An Image Dataset for Aphid Detection and Infestation Severity on Lemon Leaves" Data 6, no. 5: 51. https://0-doi-org.brum.beds.ac.uk/10.3390/data6050051

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