The experimental results showed that the YOLOv7-Litchi network proposed in this paper provides good detection ability for litchi fruits characterized by a dense distribution and mutual occlusion in complex backgrounds, with a recall rate of 95.90 %, an accuracy of 94.60 %, an mAP of 98.60 %, and an average detection ...
Jul 15, 2023 · To improve the detection of litchi fruit in complex environments, this paper proposed an improved YOLOv7-Litchi detection algorithm. Compared ...
May 16, 2024 · To improve the detection of litchi fruit in complex environments, this paper proposed an improved YOLOv7-Litchi detection algorithm. Compared ...
An efficient detection method for litchi fruits in a natural environment based on improved YOLOv7-Litchi. 2. Can Lia, Jiaquan Lina, Zhao Lia, Chaodong Maia ...
Nov 13, 2023 · A method of green litchi recognition based on improved LDA classifier is proposed by this paper. The color features of RGB components of litchi ...
An efficient detection method for litchi fruits in a natural environment ...
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An efficient detection method for litchi fruits in a natural environment based on improved YOLOv7-Litchi ... Authors: Can Li; Jiaquan Lin; Zhao Li; Chaodong Mai ...
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4 days ago · This current research introduces an innovative approach employing YOLOv7, a cutting-edge object detection model, to detect and classify honey ...
Article "An efficient detection method for litchi fruits in a natural environment based on improved YOLOv7-Litchi" Detailed information of the J-GLOBAL is ...
Dec 2, 2023 · Automatic detection of defects in mature litchi plays a vital role in the classification of fruit grades. The existing method mainly relies ...