An RGB sensor-based aerial robotic platform for sustainable precision agriculture
An RGB sensor-based aerial robotic platform for sustainable precision agriculture
复制标题
基于 RGB 传感器的可持续精准农业空中机器人平台
DOI：
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发表时间：
2020
期刊：
影响因子：
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通讯作者：
A. Abioye
中科院分区：
文献类型：
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作者：
A. Abioye
空中和地面之间的通信通过使农民的工作方式现代化，开始给农业带来巨大的好处。因此，无人驾驶飞行器（uav）的应用正被广泛接受，因为它开始对粮食可持续性和安全产生巨大影响。本文的目的是介绍一项正在进行的研究，该研究是关于在西非大草原上使用空中机器人系统，由中小型玉米、水稻和甘蔗种植园的农民实践可持续的精准农业。目标是设计和开发实用的基于无人机的解决方案，使这些农民能够采用精准农业耕作技术。所提出的方法涉及开发一种450毫米四旋翼无人机平台，该平台带有RGB传感器，用于捕获高分辨率RGB图像数据，将使用计算机视觉、机器学习和摄影测量技术相结合进行分析，以提取有用的信息，以适当应用精准农业技术。通过图像数据分析，农民将能够监测作物健康、害虫入侵、检测杂草、作物病害、监测农田灌溉需求、作物生长和估计作物产量。总体目的是开发可持续的农业方法，提高作物产量，最大限度地减少化学品的使用，同时根据实时信息优化产量和利润。
The communication between aerial and ground is beginning to have enormous benefits in Agriculture by modernising the ways in which farmers work. The application of Unmanned Aerial Vehicles (UAVs) is therefore becoming widely accepted as it is beginning to have a huge impact on food sustainability and security. The aim of this paper is to present an on-going research on the use of aerial robotic systems for practising sustainable precision agriculture by small and medium scale maize, rice, and sugar cane plantation farmers in the West African savannah. The objective is to design and develop practical UAV-based solutions that would enable the adoption of the precision agriculture farming technique by these farmers. The proposed method involved the development of a 450 mm quad-rotor UAV platform with RGB sensor for capturing high-resolution RGB image data, to be analysed using a combination of computer vision, machine learning, and photogrammetric techniques, to extract useful information for appropriate application of the precision agriculture techniques. From the image data analysis, farmers would be able to monitor crop health, pest invasion, detect weed, crop diseases, monitor farm irrigation requirement, crop growth, and estimate crop yield. The overall intention is to develop sustainable methods in farming that would increase the crop yield, minimise the use of chemicals while optimising both production and profit based on real time information.