유통과정 작물의 질병 분류를 위한 YOLO 기반 객체탐지
YOLO-Based Crop Disease Detection in Distribution Process
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초록
Most agricultural products in South Korea are cultivated in the open field and delivered to customers through the distribution channels. It is important to ensure that crops are not susceptible to pests and diseases during delivery. In this paper, we propose to detect diseases of crops in earlier time by using YOLOv4, which is a real-time object detection algorithm, to ensure the freshness of crops. We compared the proposed detector with the YOLOv3-based detector in terms of the accurate performance. The experimental results addressed that the proposed method clearly detects the types and stages of chili pepper diseases. We expect that the proposed approach can be used for a fast and accurate freshness monitoring system.
Abstract
Most agricultural products in South Korea are cultivated in the open field and delivered to customers through the distribution channels. It is important to ensure that crops are not susceptible to pests and diseases during delivery. In this paper, we propose to detect diseases of crops in earlier time by using YOLOv4, which is a real-time object detection algorithm, to ensure the freshness of crops. We compared the proposed detector with the YOLOv3-based detector in terms of the accurate performance. The experimental results addressed that the proposed method clearly detects the types and stages of chili pepper diseases. We expect that the proposed approach can be used for a fast and accurate freshness monitoring system.
참고문헌 (31)
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