國立虎尾科技大學 |

Unmanned Aerial Systems in Precision Agriculture = Technological Progresses and Applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Unmanned Aerial Systems in Precision Agriculture/ edited by Zhao Zhang, Hu Liu, Ce Yang, Yiannis Ampatzidis, Jianfeng Zhou, Yu Jiang.
其他題名:	Technological Progresses and Applications /
其他作者:	Jiang, Yu.
面頁冊數:	V, 136 p. 68 illus., 60 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Plant Science. -
電子資源:	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, Hu Liu, Ce Yang, Yiannis Ampatzidis, Jianfeng Zhou, Yu Jiang. - 1st ed. 2022. - V, 136 p. 68 illus., 60 illus. in color.online resource. - Smart Agriculture,22731-3484 ;. - Smart Agriculture,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:

1366032
Plant Science.

LC Class. No.: S1-972

Dewey Class. No.: 630

Unmanned Aerial Systems in Precision Agriculture = Technological Progresses and Applications /
LDR:02951nam a22004095i 4500 001 1089909
003 DE-He213
005 20220517060736.0
007 cr nn 008mamaa
008 221228s2022 si | s |||| 0|eng d
020 $a 9789811920271 $9 978-981-19-2027-1
024 7 $a 10.1007/978-981-19-2027-1 $2 doi
035 $a 978-981-19-2027-1
050 4 $a S1-972
072 7 $a TVB $2 bicssc
072 7 $a TEC003000 $2 bisacsh
072 7 $a TVB $2 thema
082 0 4 $a 630 $2 23
245 1 0 $a Unmanned Aerial Systems in Precision Agriculture $h [electronic resource] : $b Technological Progresses and Applications / $c edited by Zhao Zhang, Hu Liu, Ce Yang, Yiannis Ampatzidis, Jianfeng Zhou, Yu Jiang.
250 $a 1st ed. 2022.
264 1 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2022.
300 $a V, 136 p. 68 illus., 60 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Smart Agriculture, $x 2731-3484 ; $v 2
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.
650 2 4 $a Plant Science. $3 1366032
650 2 4 $a Robotic Engineering. $3 1387599
650 2 4 $a Machine Learning. $3 1137723
650 2 4 $a Signal, Speech and Image Processing . $3 1366353
650 0 $a Botany. $3 599558
650 0 $a Robotics. $3 561941
650 0 $a Machine learning. $3 561253
650 0 $a Signal processing. $3 561459
650 0 $a Agronomy. $3 1027735
650 0 $a Agriculture. $3 660421
700 1 $a Jiang, Yu. $e author. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1389003
700 1 $a Zhou, Jianfeng. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1349552
700 1 $a Ampatzidis, Yiannis. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1397212
700 1 $a Yang, Ce. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1397211
700 1 $a Liu, Hu. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1067290
700 1 $a Zhang, Zhao. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1227415
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811920264
776 0 8 $i Printed edition: $z 9789811920288
776 0 8 $i Printed edition: $z 9789811920295
830 0 $a Smart Agriculture, $x 2731-3484 ; $v 2 $3 1397213
856 4 0 $u https://doi.org/10.1007/978-981-19-2027-1
912 $a ZDB-2-SBL
912 $a ZDB-2-SXB
950 $a Biomedical and Life Sciences (SpringerNature-11642)
950 $a Biomedical and Life Sciences (R0) (SpringerNature-43708)