论文标题
将蜜蜂视为：空中草莓作物监测的紫外线传感器
See as a Bee: UV Sensor for Aerial Strawberry Crop Monitoring
论文作者
论文摘要
精确农业旨在为农业食品部门使用技术工具来提高生产力，降低人工成本并减少资源的使用。这项工作从Bees Vision到设计量身定制的遥感系统，以将UV反射到花朵探测器中。我们演示了这种方法如何为深度学习草莓花的检测提供功能丰富的图像，并将其应用于现场的可扩展但具有成本效益的空中监测机器人系统。我们还将UV-G-B图像检测器的性能与使用RGB图像的类似工作进行了比较。
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.
