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Agronomy 2018, 8(8), 129; https://doi.org/10.3390/agronomy8080129

Automatic Segmentation and Counting of Aphid Nymphs on Leaves Using Convolutional Neural Networks

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1,2,* and 1,2
1
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China
2
Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture, Hangzhou 310058, China
*
Author to whom correspondence should be addressed.
Received: 13 July 2018 / Revised: 21 July 2018 / Accepted: 24 July 2018 / Published: 25 July 2018
(This article belongs to the Special Issue Deep Learning Techniques for Agronomy Applications)
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Abstract

The presence of pests is one of the main problems in crop production, and obtaining reliable statistics of pest infestation is essential for pest management. Detection of pests should be automated because human monitoring of pests is time-consuming and error-prone. Aphids are among the most destructive pests in greenhouses and they reproduce quickly. Automatic detection of aphid nymphs on leaves (especially on the lower surface) using image analysis is a challenging problem due to color similarity and complicated background. In this study, we propose a method for segmentation and counting of aphid nymphs on leaves using convolutional neural networks. Digital images of pakchoi leaves at different aphid infestation stages were obtained, and corresponding pixel-level binary mask annotated. In the test, segmentation results by the proposed method achieved high overlap with annotation by human experts (Dice coefficient of 0.8207). Automatic counting based on segmentation showed high precision (0.9563) and recall (0.9650). The correlation between aphid nymph count by the proposed method and manual counting was high (R2 = 0.99). The proposed method is generic and can be applied for other species of pests. View Full-Text
Keywords: aphid nymphs; automatic pest counting; image segmentation; deep learning; convolutional neural networks aphid nymphs; automatic pest counting; image segmentation; deep learning; convolutional neural networks
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Chen, J.; Fan, Y.; Wang, T.; Zhang, C.; Qiu, Z.; He, Y. Automatic Segmentation and Counting of Aphid Nymphs on Leaves Using Convolutional Neural Networks. Agronomy 2018, 8, 129.

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