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

Author:

Parraga-Alava JorgeORCID,Alcivar-Cevallos RoberthORCID,Morales Carrillo Jéssica,Castro Magdalena,Avellán Shabely,Loor Aaron,Mendoza Fernando

Abstract

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.

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Reference11 articles.

1. Detection of Stress in Cotton (Gossypium hirsutum L.) Caused by Aphids Using Leaf Level Hyperspectral Measurements

2. Prevención y Control de la Roya del Café. Manual de Buenas Prácticas para Técnicos y Facilitadores;Virginio-Filho,2015

3. Aphid Identification and Counting Based on Smartphone and Machine Vision;Suo;J. Sens.,2017

4. RoCoLe: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases recognition

5. Interrater reliability: the kappa statistic

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