ZHANG Ronghua1(), BAI Xue1, FAN Jiangchuan2,3()
Received:
2023-11-02
Online:
2024-03-04
corresponding author:
Supported by:
ZHANG Ronghua, BAI Xue, FAN Jiangchuan. Crop Pest Target Detection Algorithm in Complex Scenes:YOLOv8-Extend[J]. Smart Agriculture, doi: 10.12133/j.smartag.SA202311007.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.smartag.net.cn/EN/10.12133/j.smartag.SA202311007
Table 4
Various improved algorithm ablation experiments
Methods | Precision | Recall | mAP@0.5 | mAP@0.5∶0.95 | Modelsize/M | FPS |
---|---|---|---|---|---|---|
YOLOv5s | 0.959 | 0.91 | 0.947 | 0.721 | 13.70 | 66.7 |
YOLOv8n | 0.958 | 0.939 | 0.964 | 0.739 | 5.93 | 72.6 |
YOLOv8n-GSCONV | 0.965 | 0.954 | 0.970 | 0.741 | 20.20 | 56.4 |
YOLOv8n-BiFPN | 0.982 | 0.975 | 0.975 | 0.745 | 5.93 | 68.5 |
YOLOv8n-CBAM | 0.975 | 0.976 | 0.982 | 0.783 | 5.95 | 62.6 |
YOLOv8n-Extend | 0.984 | 0.975 | 0.99 | 0.811 | 6.07 | 65.5 |
1 |
李健, 陈长明. 基于计算机视觉的农作物害虫自动检测研究综述[J]. 微型电脑应用, 2009, 25(12): 62-64, 78.
|
|
|
2 |
刁智华, 王欢, 宋寅卯, 等. 复杂背景下棉花病叶害螨图像分割方法[J]. 农业工程学报, 2013, 29(5): 147-152.
|
|
|
3 |
宋勇, 陈兵, 王琼, 等. 基于无人机多光谱影像的棉花黄萎病监测[J]. 棉花学报, 2023, 35(2): 87-100.
|
|
|
4 |
张楠楠, 张晓, 白铁成, 等. 基于CBAM-YOLO v7的自然环境下棉叶病虫害识别方法[J]. 农业机械学报, 2023, 54(S1): 239-244.
|
|
|
5 |
|
6 |
|
7 |
|
8 |
|
9 |
|
10 |
|
11 |
|
12 |
|
13 |
|
14 |
|
15 |
|
16 |
王建, 徐闯. 基于YOLOv5s的脐橙虫害检测研究[J]. 工业控制计算机, 2023, 36(7): 105-106, 109.
|
|
|
17 |
|
18 |
何颖. 基于改进YOLOv5模型的经济林木虫害目标检测算法研究[D]. 昆明: 云南农业大学, 2022.
|
|
|
19 |
|
20 |
|
21 |
魏陈浩, 杨睿, 刘振丙, 等. 具有双层路由注意力的YOLOv8道路场景目标检测方法[J]. 图学学报, 2023, 44(6): 1104-1111.
|
|
|
22 |
|
23 |
|
24 |
|
25 |
|
26 |
|
27 |
WOO S,
|
28 |
|
29 |
|
30 |
高腾, 张先武, 李柏. 深度学习在安全帽佩戴检测中的应用研究综述[J]. 计算机工程与应用, 2023, 59(6): 13-29.
|
|
|
31 |
|
32 |
|
[1] | WANG Herong, CHEN Yingyi, CHAI Yingqian, XU Ling, YU Huihui. Image Segmentation Method Combined with VoVNetv2 and Shuffle Attention Mechanism for Fish Feeding in Aquaculture [J]. Smart Agriculture, 2023, 5(4): 137-149. |
[2] | ZHOU Huamao, WANG Jing, YIN Hua, CHEN Qi. Phenotype Analysis of Pleurotus Geesteranus Based on Improved Mask R-CNN [J]. Smart Agriculture, 2023, 5(4): 117-126. |
[3] | LIU Yixue, SONG Yuyang, CUI Ping, FANG Yulin, SU Baofeng. Diagnosis of Grapevine Leafroll Disease Severity Infection via UAV Remote Sensing and Deep Learning [J]. Smart Agriculture, 2023, 5(3): 49-61. |
[4] | ZUO Haoxuan, HUANG Qicheng, YANG Jiahao, MENG Fanjia, LI Sien, LI Li. In Situ Identification Method of Maize Stalk Width Based on Binocular Vision and Improved YOLOv8 [J]. Smart Agriculture, 2023, 5(3): 86-95. |
[5] | XIA Xue, CHAI Xiujuan, ZHANG Ning, ZHOU Shuo, SUN Qixin, SUN Tan. A Lightweight Fruit Load Estimation Model for Edge Computing Equipment [J]. Smart Agriculture, 2023, 5(2): 1-12. |
[6] | ZHU Haipeng, ZHANG Yu'an, LI Huanhuan, WANG Jianwen, YANG Yingkui, SONG Rende. Classification and Recognition Method for Yak Meat Parts Based on Improved Residual Network Model [J]. Smart Agriculture, 2023, 5(2): 115-125. |
[7] | PAN Chenlu, ZHANG Zhenghua, GUI Wenhao, MA Jiajun, YAN Chenxi, ZHANG Xiaomin. Rice Disease and Pest Recognition Method Integrating ECA Mechanism and DenseNet201 [J]. Smart Agriculture, 2023, 5(2): 45-55. |
[8] | ZHAO Yu, REN Yiping, PIAO Xinru, ZHENG Danyang, LI Dongming. Lightweight Intelligent Recognition of Saposhnikovia Divaricata (Turcz.) Schischk Originality Based on Improved ShuffleNet V2 [J]. Smart Agriculture, 2023, 5(2): 104-114. |
[9] | ZHANG Wenjing, JIANG Zezhong, QIN Lifeng. Identifying Multiple Apple Leaf Diseases Based on the Improved CBAM-ResNet18 Model Under Weak Supervision [J]. Smart Agriculture, 2023, 5(1): 111-121. |
[10] | SHANG Fengnan, ZHOU Xuecheng, LIANG Yingkai, XIAO Mingwei, CHEN Qiao, LUO Chendi. Detection Method for Dragon Fruit in Natural Environment Based on Improved YOLOX [J]. Smart Agriculture, 2022, 4(3): 120-131. |
[11] | XIA Ye, LEI Xiaohui, QI Yannan, XU Tao, YUAN Quanchun, PAN Jian, JIANG Saike, LYU Xiaolan. Detection of Pear Inflorescence Based on Improved Ghost-YOLOv5s-BiFPN Algorithm [J]. Smart Agriculture, 2022, 4(3): 108-119. |
[12] | LONG Jiehua, GUO Wenzhong, LIN Sen, WEN Chaowu, ZHANG Yu, ZHAO Chunjiang. Strawberry Growth Period Recognition Method Under Greenhouse Environment Based on Improved YOLOv4 [J]. Smart Agriculture, 2021, 3(4): 99-110. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||