Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications /
This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status...
| Main Authors: | , , , , , |
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| Format: | text |
| Language: | eng |
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Singapore : Springer,
2022
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| _version_ | 1826472836841078784 |
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| author | Zhang, Zhao, editor 650916 Liu, Hu, editor 650917 Yang, Ce, editor 650918 Ampatzidis, Yiannis, editor 650919 Zhou, Jianfeng, 1978-, editor 650920 Jiang, Yu, editor 650921 |
| author_facet | Zhang, Zhao, editor 650916 Liu, Hu, editor 650917 Yang, Ce, editor 650918 Ampatzidis, Yiannis, editor 650919 Zhou, Jianfeng, 1978-, editor 650920 Jiang, Yu, editor 650921 |
| author_sort | Zhang, Zhao, editor 650916 |
| collection | OCEAN |
| description | This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers 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. |
| first_indexed | 2024-03-05T17:24:14Z |
| format | text |
| id | KOHA-OAI-TEST:607911 |
| institution | Universiti Teknologi Malaysia - OCEAN |
| language | eng |
| last_indexed | 2024-03-05T17:24:14Z |
| publishDate | 2022 |
| publisher | Singapore : Springer, |
| record_format | dspace |
| spelling | KOHA-OAI-TEST:6079112023-09-20T06:35:07ZUnmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / Zhang, Zhao, editor 650916 Liu, Hu, editor 650917 Yang, Ce, editor 650918 Ampatzidis, Yiannis, editor 650919 Zhou, Jianfeng, 1978-, editor 650920 Jiang, Yu, editor 650921 textSingapore : Springer,2022©2022engThis book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers 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.Includes references.Applications of UAVs and machine learning in agriculture -- Robot Operating System Powered Data Acquisition for Unmanned Aircraft Systems in Digital Agriculture -- Unmanned aerial vehicle (UAV) applications in cotton production -- Time effect after initial wheat lodging on plot lodging ratio detection using UAV imagery and deep learning -- UAV mission height effects on wheat lodging ratio detection -- Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on An Optimized Hybrid Task Cascade Model -- UAV multispectral remote sensing for yellow rust mapping: opportunities and challenges -- Corn Goss's Wilt disease assessment based on UAV imageryThis book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers 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.Precision farmingDrone aircraftAeronautics in agricultureURN:ISBN:9789811920264Available to OhioLINK libraries |
| spellingShingle | Precision farming Drone aircraft Aeronautics in agriculture Zhang, Zhao, editor 650916 Liu, Hu, editor 650917 Yang, Ce, editor 650918 Ampatzidis, Yiannis, editor 650919 Zhou, Jianfeng, 1978-, editor 650920 Jiang, Yu, editor 650921 Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title | Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title_full | Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title_fullStr | Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title_full_unstemmed | Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title_short | Unmanned Aerial Systems in Precision Agriculture : Technological Progresses and Applications / |
| title_sort | unmanned aerial systems in precision agriculture technological progresses and applications |
| topic | Precision farming Drone aircraft Aeronautics in agriculture |
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