Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet
Oil palm, as an important economic crop, plays a significant role in yield estimation and plantation management, making accurate identification and counting crucial. However, due to the varying sizes of oil palm crowns, diverse tree shapes, and the frequent overlap of adjacent crowns, existing algor...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-03-01
|
| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125000093 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832595387081293824 |
|---|---|
| author | Jirong Ding Runlian Huang Yehua Liang Xin Weng Jianjun Chen Haotian You |
| author_facet | Jirong Ding Runlian Huang Yehua Liang Xin Weng Jianjun Chen Haotian You |
| author_sort | Jirong Ding |
| collection | DOAJ |
| description | Oil palm, as an important economic crop, plays a significant role in yield estimation and plantation management, making accurate identification and counting crucial. However, due to the varying sizes of oil palm crowns, diverse tree shapes, and the frequent overlap of adjacent crowns, existing algorithms often struggle to achieve precise individual tree recognition and accurate counting. To address this challenge, this study proposes the Oilpalm-RTMDET model, which is based on the RTMDET algorithm. First, the SimSPPF structure is used to replace the SPPF structure of backbone, then the CSP-ELAN structure is used to replace the CSPLayer structure in the original neck, and the UpsamplingBiliearn is used as the upsampling method. Finally, the SGEAttention mechanism is introduced to enhance the extraction ability of oil palm tree features. The experimental results show that Oilpalm-RTMDET model has higher target detection accuracy, with AP50 and AP75 achieving 94.1 % and 58 % respectively, and FPS of 48.4 img/s, which is better than that of RTMDET model. Moreover, Oilpalm-RTMDET model can realize accurate and rapid detection of oil palm trees under complex conditions such as overlapping canopy, different tree structures and varying canopy sizes. It can not only provide accurate basic data for oil palm tree counting, yield and carbon storage estimation, but also provide technical guidance for other forest types, such as eucalyptus and pine, and single tree detection and segmentation. |
| format | Article |
| id | doaj-art-3b6cc19d3a6c4f50a2aa42214a82573d |
| institution | Kabale University |
| issn | 1574-9541 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Informatics |
| spelling | doaj-art-3b6cc19d3a6c4f50a2aa42214a82573d2025-01-19T06:24:46ZengElsevierEcological Informatics1574-95412025-03-0185103000Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDetJirong Ding0Runlian Huang1Yehua Liang2Xin Weng3Jianjun Chen4Haotian You5College of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaCollege of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaCorresponding author.; College of Geomatics and Geoinformation, Guilin University of Technology, No. 12 Jian'gan Road, Guilin 541006, ChinaOil palm, as an important economic crop, plays a significant role in yield estimation and plantation management, making accurate identification and counting crucial. However, due to the varying sizes of oil palm crowns, diverse tree shapes, and the frequent overlap of adjacent crowns, existing algorithms often struggle to achieve precise individual tree recognition and accurate counting. To address this challenge, this study proposes the Oilpalm-RTMDET model, which is based on the RTMDET algorithm. First, the SimSPPF structure is used to replace the SPPF structure of backbone, then the CSP-ELAN structure is used to replace the CSPLayer structure in the original neck, and the UpsamplingBiliearn is used as the upsampling method. Finally, the SGEAttention mechanism is introduced to enhance the extraction ability of oil palm tree features. The experimental results show that Oilpalm-RTMDET model has higher target detection accuracy, with AP50 and AP75 achieving 94.1 % and 58 % respectively, and FPS of 48.4 img/s, which is better than that of RTMDET model. Moreover, Oilpalm-RTMDET model can realize accurate and rapid detection of oil palm trees under complex conditions such as overlapping canopy, different tree structures and varying canopy sizes. It can not only provide accurate basic data for oil palm tree counting, yield and carbon storage estimation, but also provide technical guidance for other forest types, such as eucalyptus and pine, and single tree detection and segmentation.http://www.sciencedirect.com/science/article/pii/S1574954125000093Oil palmObject detectionRTMDetOilpalm-RTMDet |
| spellingShingle | Jirong Ding Runlian Huang Yehua Liang Xin Weng Jianjun Chen Haotian You Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet Ecological Informatics Oil palm Object detection RTMDet Oilpalm-RTMDet |
| title | Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet |
| title_full | Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet |
| title_fullStr | Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet |
| title_full_unstemmed | Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet |
| title_short | Oilpalm-RTMDet: An lightweight oil palm detector base on RTMDet |
| title_sort | oilpalm rtmdet an lightweight oil palm detector base on rtmdet |
| topic | Oil palm Object detection RTMDet Oilpalm-RTMDet |
| url | http://www.sciencedirect.com/science/article/pii/S1574954125000093 |
| work_keys_str_mv | AT jirongding oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet AT runlianhuang oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet AT yehualiang oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet AT xinweng oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet AT jianjunchen oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet AT haotianyou oilpalmrtmdetanlightweightoilpalmdetectorbaseonrtmdet |