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July 20, 2023SHILAP Revista de lepidopterología65 citationsOpen Access

CAM-YOLO: tomato detection and classification based on improved YOLOv5 using combining attention mechanism

SASeetharam Nagesh AppeGAG. ArulselviBGBalaji GN

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Abstract

Several images from the dataset were chosen for testing to assess the model's performance, and the detection performance of the CAM-YOLO and standard YOLOv5 models under various conditions was compared. The experimental results affirms that CAM-YOLO algorithm is efficient in detecting the overlapped and small tomatoes with an average precision of 88.1%.

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Appe et al. (2023) studied this question.

synapsesocial.com/papers/69d817d433ca018b39ae349bhttps://doi.org/10.7717/peerj-cs.1463
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