An image rendering-based identification method for apples with different growth forms
•A method for apple growth morphology based on Mask RCNN + PointRend has been proposed.•SPPF structure, CA attention mechanism and PANet are introduced as improvements.•CWD algorithm is used for model distillation to improve the detection speed. Identifying apples with different growth forms is an u...
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| Published in | Computers and electronics in agriculture Vol. 211; p. 108040 |
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| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier B.V
01.08.2023
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| Abstract | •A method for apple growth morphology based on Mask RCNN + PointRend has been proposed.•SPPF structure, CA attention mechanism and PANet are introduced as improvements.•CWD algorithm is used for model distillation to improve the detection speed.
Identifying apples with different growth forms is an urgent task to be solved by harvesting robots on the path to intelligence. A method based on Mask RCNN + PointRend was proposed for identifying apples with different growth forms in the orchard in the work. The SPPF structure and CA attention mechanism were introduced to the backbone network of the Mask RCNN + PointRend algorithm to improve network performance because of the complexity of the apple orchard. Meanwhile, a bottom-up pathway was introduced into the feature extraction network to enhance feature dissemination, reuse, and fitting. Finally, the number of model parameters was reduced to improve the detection speed, and the CWD algorithm was used for the knowledge distillation of the model. The improved algorithms were called Mask RCNN-Point and Mask RCNN-PointKD. The recognition accuracy of the two enhanced algorithms on the test set was 85.65 and 74.13%, respectively. Besides, average detection time per image was 93.67 and 62.1 ms, respectively. The work provides a reference for identifying apples with different growth forms. |
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| AbstractList | •A method for apple growth morphology based on Mask RCNN + PointRend has been proposed.•SPPF structure, CA attention mechanism and PANet are introduced as improvements.•CWD algorithm is used for model distillation to improve the detection speed.
Identifying apples with different growth forms is an urgent task to be solved by harvesting robots on the path to intelligence. A method based on Mask RCNN + PointRend was proposed for identifying apples with different growth forms in the orchard in the work. The SPPF structure and CA attention mechanism were introduced to the backbone network of the Mask RCNN + PointRend algorithm to improve network performance because of the complexity of the apple orchard. Meanwhile, a bottom-up pathway was introduced into the feature extraction network to enhance feature dissemination, reuse, and fitting. Finally, the number of model parameters was reduced to improve the detection speed, and the CWD algorithm was used for the knowledge distillation of the model. The improved algorithms were called Mask RCNN-Point and Mask RCNN-PointKD. The recognition accuracy of the two enhanced algorithms on the test set was 85.65 and 74.13%, respectively. Besides, average detection time per image was 93.67 and 62.1 ms, respectively. The work provides a reference for identifying apples with different growth forms. |
| ArticleNumber | 108040 |
| Author | Lv, Jidong Xu, Liming Gu, Yuwan Xu, Hao Rong, Hailong Zou, Ling |
| Author_xml | – sequence: 1 givenname: Jidong surname: Lv fullname: Lv, Jidong organization: School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China – sequence: 2 givenname: Hao surname: Xu fullname: Xu, Hao organization: School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213164, China – sequence: 3 givenname: Liming surname: Xu fullname: Xu, Liming organization: School of Equipment Engineering, Jiangsu Urban and Rural Construction College, Changzhou 213147, China – sequence: 4 givenname: Yuwan surname: Gu fullname: Gu, Yuwan organization: School of Computer Science and Artificial Intelligence, Changzhou University, Changzhou 213164, China – sequence: 5 givenname: Hailong surname: Rong fullname: Rong, Hailong organization: School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China – sequence: 6 givenname: Ling surname: Zou fullname: Zou, Ling email: zouling@cczu.edu.cn organization: School of Microelectronics and Control Engineering, Changzhou University, Changzhou 213164, China |
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| Keywords | Instance segmentation PointRend Mask RCNN Apples with different growth forms |
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| Title | An image rendering-based identification method for apples with different growth forms |
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