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

2021; Multidisciplinary Digital Publishing Institute; Volume: 6; Issue: 5 Linguagem: Inglês

10.3390/data6050051

2306-5729

Jorge Parraga-Alava, Roberth Alcívar-Cevallos, Jéssica Morales Carrillo, Magdalena Castro, Shabely Avellán, Aaron Loor, Fernando Mendoza,

Banana Cultivation and Research

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.