×
This study proposes a new object detection method, MHSA-YOLOv8, and constructs tomato maturity grading models and counting models, respectively.
Jul 26, 2023 · This study proposes a new object detection method, MHSA-YOLOv8, and constructs tomato maturity grading models and counting models, respectively.
Jul 19, 2023 · The online automated maturity grading and counting of tomato fruits has a certain promoting effect on digital supervision of fruit growth ...
The online automated maturity grading and counting of tomato fruits has a certain promoting effect on digital supervision of fruit growth status and ...
The online automated maturity grading and counting of tomato fruits has a certain promoting effect on digital supervision of fruit growth status.
People also ask
Tomato Maturity Detection and Counting Model Based on MHSA-YOLOv8. Sensors 2023, 23, 6701. https://doi.org/10.3390/s23156701. AMA Style. Li P, Zheng J, Li P ...
Hue-mean and red-green color-difference image mean can be used as a criterion for the judgment of tomato maturity, and the tests indicated that the redgreen ...
Li et al. (2023a) proposed MHSA-YOLOv8 to detect and count the maturity of tomato fruits in different grades by using the attention mechanism of MHSA, and the ...
The Precision, Recall, F1-score, and mAP50 of the tomato fruit maturity grading model constructed based on MHSA-YOLOv8 were 0.806, 0.807, 0.806, and 0.864, ...
Tomato Maturity Detection and Counting Model Based on MHSA-YOLOv8 · P. LiJishu ... The tomato maturity grading and counting model constructed in this ...