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Unmanned aerial systems in precision...

Zhang, Zhao.

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Unmanned aerial systems in precision agriculture = technological progresses and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Unmanned aerial systems in precision agriculture/ edited by Zhao Zhang ... [et al.].
Reminder of title:	technological progresses and applications /
other author:	Zhang, Zhao.
Published:	Singapore :Springer Nature Singapore : : 2022.,
Description:	v, 136 p. :ill. (chiefly col.), digital ;24 cm.
[NT 15003449]:	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 imagery.
Contained By:	Springer Nature eBook
Subject:	Precision farming - Technological innovations. -
Online resource:	https://doi.org/10.1007/978-981-19-2027-1
ISBN:	9789811920271

Unmanned aerial systems in precision agriculture = technological progresses and applications /
Unmanned aerial systems in precision agriculturetechnological progresses and applications /[electronic resource] :edited by Zhao Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2022. - v, 136 p. :ill. (chiefly col.), digital ;24 cm. - Smart agriculture,v. 22731-3484 ;. - Smart agriculture ;v. 2..

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 imagery.

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.

ISBN: 9789811920271

Standard No.: 10.1007/978-981-19-2027-1doiSubjects--Topical Terms:

3597428
Precision farming
--Technological innovations.

LC Class. No.: S494.5.A3

Dewey Class. No.: 631.3

Unmanned aerial systems in precision agriculture = technological progresses and applications /
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505 0 $a 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 imagery.
520 $a 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.
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