See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
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Abstract (arXiv)
Precision agriculture aims to use technological tools for the agro-food sector to increase productivity, cut labor costs, and reduce the use of resources. This work takes inspiration from bees vision to design a remote sensing system tailored to incorporate UV-reflectance into a flower detector. We demonstrate how this approach can provide feature-rich images for deep learning strawberry flower detection and we apply it to a scalable, yet cost effective aerial monitoring robotic system in the field. We also compare the performance of our UV-G-B image detector with a similar work that utilizes RGB images.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 89 references that are in the map. First posted on arXiv 30 Oct 2022.
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6 of 89 references.
References · 6
- 2014Microsoft COCO: Common Objects in Contextcited by 17,608
- 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,639
- 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,630
- 2018Benchmark Analysis of Representative Deep Neural Network Architecturescited by 77
- 2018Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challengescited by 54
- 2019Detecting Invasive Insects with Unmanned Aerial Vehiclescited by 1
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