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Titlebook: Unmanned Aerial Systems in Precision Agriculture; Technological Progre Zhao Zhang,Hu Liu,Yu Jiang Book 2022 The Editor(s) (if applicable) a

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樓主: NK871
21#
發(fā)表于 2025-3-25 05:03:52 | 只看該作者
Book 2022 with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics...
22#
發(fā)表于 2025-3-25 09:21:29 | 只看該作者
23#
發(fā)表于 2025-3-25 14:35:06 | 只看該作者
Robot Operating System Powered Data Acquisition for Unmanned Aircraft Systems in Digital Agriculturn and are being developed, limited efforts have been made for custom data acquisition systems which are crucial to address major technical issues in the current UAS systems for agriculture. This chapter aims to provide a conceptual framework based on robot operating system (ROS) for the design and d
24#
發(fā)表于 2025-3-25 19:10:03 | 只看該作者
Unmanned Aerial Vehicle (UAV) Applications in Cotton Production, a combination effect of crop varieties, environment, and management. Precision agriculture technology has shown great potential to improve cotton production with sufficient high-resolution spatiotemporal data of soil, environment, and cotton development from seedling to harvest. The advances in unm
25#
發(fā)表于 2025-3-25 21:43:31 | 只看該作者
Time Effect After Initial Wheat Lodging on Plot Lodging Ratio Detection Using UAV Imagery and Deep ate and objective manner is important for a number of stakeholders. Since the conventional approach based on visual observation during field visits is inefficient, laborious, subjective, and unreliable, there is a need for an automatic methodology to replace the manual approach. In this study, an ex
26#
發(fā)表于 2025-3-26 00:44:02 | 只看該作者
27#
發(fā)表于 2025-3-26 05:56:06 | 只看該作者
28#
發(fā)表于 2025-3-26 10:00:43 | 只看該作者
,UAV Multispectral Remote Sensing for?Yellow Rust Mapping: Opportunities and Challenges,ims to investigate the use of Unmanned Aerial Vehicle based multispectral remote sensing for winter wheat stress mapping caused by yellow rust disease. A simple unsupervised wheat yellow rust mapping framework is initially proposed by integrating Spectral Vegetation Indices generation, mutual inform
29#
發(fā)表于 2025-3-26 15:24:17 | 只看該作者
30#
發(fā)表于 2025-3-26 17:05:40 | 只看該作者
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