See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
Ultraviolet (UV)-reflectance is an essential signal of many plant species, which use wavelength-selective pigments in floral reproductive structures to determine the color of flowers and how they appear to their aerial pollinators, primarily bees. This paper presents a pollinator-inspired remote-sen...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
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| Series: | Canadian Journal of Remote Sensing |
| Online Access: | http://dx.doi.org/10.1080/07038992.2024.2332179 |
| _version_ | 1797198522728054784 |
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| author | Megan Heath Ali Imran David St-Onge |
| author_facet | Megan Heath Ali Imran David St-Onge |
| author_sort | Megan Heath |
| collection | DOAJ |
| description | Ultraviolet (UV)-reflectance is an essential signal of many plant species, which use wavelength-selective pigments in floral reproductive structures to determine the color of flowers and how they appear to their aerial pollinators, primarily bees. This paper presents a pollinator-inspired remote-sensing system incorporating UV reflectance into a flower detector for strawberry crops. We designed a compact, cost-effective UV-sensitive camera for aerial remote sensing over crop rows. Our camera and a deep-learning algorithm comprise our Nature-Inspired Detector (NID) system. We trained YOLOv5 and Faster R-CNN on our dataset of strawberry images incorporating the UV spectrum (300–400 nm). Our results showed that NID-based YOLO V5 outperformed NID-based Faster R-CNN in training time (0.3 vs. 4.5–5.5 hours) and mean Average Precision—mAP (0.951 vs. 0.934). We also present the field-test of our NID-based YOLOv5 system on a drone platform to validate its ability to detect strawberry flowers. |
| first_indexed | 2024-04-24T07:01:12Z |
| format | Article |
| id | doaj.art-9ec40209b5d84a33835a904933a386e4 |
| institution | Directory Open Access Journal |
| issn | 1712-7971 |
| language | English |
| last_indexed | 2024-04-24T07:01:12Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Canadian Journal of Remote Sensing |
| spelling | doaj.art-9ec40209b5d84a33835a904933a386e42024-04-22T08:52:27ZengTaylor & Francis GroupCanadian Journal of Remote Sensing1712-79712024-12-0150110.1080/07038992.2024.23321792332179See as a Bee: UV Sensor for Aerial Strawberry Crop MonitoringMegan Heath0Ali Imran1David St-Onge2Department of Environmental Engineering, École de technologie supérieureLab INIT Robots, Department of Mechanical Engineering, École de technologie supérieureLab INIT Robots, Department of Mechanical Engineering, École de technologie supérieureUltraviolet (UV)-reflectance is an essential signal of many plant species, which use wavelength-selective pigments in floral reproductive structures to determine the color of flowers and how they appear to their aerial pollinators, primarily bees. This paper presents a pollinator-inspired remote-sensing system incorporating UV reflectance into a flower detector for strawberry crops. We designed a compact, cost-effective UV-sensitive camera for aerial remote sensing over crop rows. Our camera and a deep-learning algorithm comprise our Nature-Inspired Detector (NID) system. We trained YOLOv5 and Faster R-CNN on our dataset of strawberry images incorporating the UV spectrum (300–400 nm). Our results showed that NID-based YOLO V5 outperformed NID-based Faster R-CNN in training time (0.3 vs. 4.5–5.5 hours) and mean Average Precision—mAP (0.951 vs. 0.934). We also present the field-test of our NID-based YOLOv5 system on a drone platform to validate its ability to detect strawberry flowers.http://dx.doi.org/10.1080/07038992.2024.2332179 |
| spellingShingle | Megan Heath Ali Imran David St-Onge See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring Canadian Journal of Remote Sensing |
| title | See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring |
| title_full | See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring |
| title_fullStr | See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring |
| title_full_unstemmed | See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring |
| title_short | See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring |
| title_sort | see as a bee uv sensor for aerial strawberry crop monitoring |
| url | http://dx.doi.org/10.1080/07038992.2024.2332179 |
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