2. Data Description
3.1. Data Acquisition
4. User Notes
- The data can be used to train, test, and validate computational models related to image classification on plant disease studies. In this sense, we already have evidence from a previous work , where convolutional neural networks (CNNs) were used to board a binary classification problem related to lemon leaves with aphid presence. The quality of LeLePhid was evidenced by allowing the model to achieve average rates between 81% and 97% of correct aphid classification.
- The data can be helpful to researchers and professionals working on computer vision-based models for image segmentation and object detection using images of healthy leaves and leaves with aphid presence. Cases such as those discussed in [3,7] are examples of the potential that our dataset can offer from the point of view of continuous improvement of machine learning algorithms to address segmentation and identification problems related to plant diseases.
- The data can serve as a motivation to encourage further research into the agriculture sector and computer vision methods for citrus pest identification. Image annotation is the data labeling technique used to make the varied objects recognizable for computers. Our dataset includes image annotations of leaves and aphid-infected areas to make them recognizable or even understandable for computers. These annotations can be used to help the large-scale monitoring of the health of crops through, for instance, devices such as UAVs (unmanned aerial vehicles) or drones, where works in [8,9,10,11] have already demonstrated the benefits that can be obtained in the agricultural sector when devices such as drones are used in conjunction with computer vision.
Data Availability Statement
Conflicts of Interest
- Chen, T.; Zeng, R.; Guo, W.; Hou, X.; Lan, Y.; Zhang, L. Detection of Stress in Cotton (Gossypium hirsutum L.) Caused by Aphids Using Leaf Level Hyperspectral Measurements. Sensors 2018, 18, 2798. [Google Scholar] [CrossRef] [PubMed]
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Aphids are tiny insects that feed by sucking sap from plants, and they can cause diseases.
An adhesive board is placed on the plants, and researchers count the aphids on it.
|Level||% Affected Area||Symptom|
|0||0||Healthy plant with no aphid presence.|
|1||[0–5)||Few aphids. Foliage with no yellowing symptoms.|
|2||[5–20)||Crinkling and curling of few leaves of the plant.|
|3||[20–50)||Crinkling and curling of leaves almost all over the plant.|
|4||>50||Extreme curling, crinkling, and drying all over the plant.|
|Kappa||Level of Agreement||% of Data Reliability|
|Above 0.90||Almost Perfect||82–100%|
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