RESEARCH ON RECOGNITION OF OCCLUDED ORANGE FRUIT ON TREES BASED ON YOLOv4

Thinning is an important agronomic process in pear production, thus the detection of pear inflorescence is an important technology for intelligentization of blossom thinning. In this paper, images of buds and flowers were collected under different natural conditions for model training, and the images were augmented by data augmentation methods. Model training was performed based on the YOLOv5s network with coordinate attention mechanism added to the backbone network and compared with the native YOLOv5s, YOLOv3, SSD 300, and Faster-RCNN algorithms. The mAP, F1 score and recall of the algorithm reached 93.32%, 91.10%, and 91.99%. The model size only took up 14.1 MB, and the average detection time was 27 ms, which are suitable for application in actual intelligent blossom thinning equipment.

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Reasearch on Pear Inflorescence Recognition Based on Fusion Attention Mechanism With Yolov5

Xia

Lei

HERBST³

et al. 2023

INMATEH

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Research on the Response Mechanism of Clamping Point Position to the Vibration Propagation Characteristics of Wooden Materials

SUN,

ZHENG,

SUI

et al. 2024

INMATEH

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Vibratory harvesting is to dislodge fruits by applying excitation force to fruit trees, so the vibration response characteristics of fruit trees are of great significance for vibratory forest and fruit harvesting machinery to realize efficient harvesting. The effects of different clamping points and vibration frequencies on vibration responsiveness and energy transfer in Broussonetia papyrifera branches are investigated in this study. The results show that the effects of different clamping point positions and vibration frequencies on the branch vibration response are mutual. The ideal distance between the clamping point position and the base of the main branch should be between 48% and 73% of the branch length, and the distance between the clamping point position and the base of the main branch increased with the increase of vibration frequency. This is because, when the clamping point is close to the base of the main branch, a higher excitation frequency increases the energy consumption at the base of the main branch, and the amount of ineffective vibration energy transferred to the base of the main branch also increases. Therefore, when the location of the clamping point is close to the base of the main branch, the suppression of high-frequency vibration at the base of the main branch is stronger than the suppression of low-frequency vibration. When the clamping point is located in the center of the branch, the overall response of the branch to vibration is better.

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RESEARCH ON RECOGNITION OF OCCLUDED ORANGE FRUIT ON TREES BASED ON YOLOv4

Cited by 2 publications

References 24 publications

Reasearch on Pear Inflorescence Recognition Based on Fusion Attention Mechanism With Yolov5

Reasearch on Pear Inflorescence Recognition Based on Fusion Attention Mechanism With Yolov5

Research on the Response Mechanism of Clamping Point Position to the Vibration Propagation Characteristics of Wooden Materials

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