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Computer vision-based agriculture en...

Zhongzhi, Han, (1981-)

Computer vision-based agriculture engineering /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computer vision-based agriculture engineering // Han Zhongzhi.
作者:	Zhongzhi, Han,
出版者:	Boca Raton :CRC Press, Taylor & Francis Group, : c2020.,
面頁冊數:	xvii, 329 p. :ill. ; : 25 cm.;
標題:	Agricultural engineering - Technological innovations. -
ISBN:	9780367254308 :

Computer vision-based agriculture engineering /
Zhongzhi, Han,1981-

Computer vision-based agriculture engineering /Han Zhongzhi. - Boca Raton :CRC Press, Taylor & Francis Group,c2020. - xvii, 329 p. :ill. ;25 cm.

Includes bibliographical references and index.

"Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in the book of all 25 chapters. This unique work provides student, engineers and technologists working in research, development, and operations in the agricultural engineering with critical, comprehensive and readily accessible information. The book applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing"--

ISBN: 9780367254308 :NT3604

LCCN: 2019025856Subjects--Topical Terms:

1276924
Agricultural engineering
--Technological innovations.

LC Class. No.: S675 / .Z49 2020

Dewey Class. No.: 631.5/233

Computer vision-based agriculture engineering /
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245 1 0 $a Computer vision-based agriculture engineering / $c Han Zhongzhi.
260 # $a Boca Raton : $b CRC Press, Taylor & Francis Group, $c c2020.
300 $a xvii, 329 p. : $b ill. ; $c 25 cm.
504 $a Includes bibliographical references and index.
520 # $a "Computer Vision-Based Agriculture Engineering is a summary of the author's work over the past 10 years. Professor Han has presented his most recent research results in the book of all 25 chapters. This unique work provides student, engineers and technologists working in research, development, and operations in the agricultural engineering with critical, comprehensive and readily accessible information. The book applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing"-- $c Provided by publisher.
650 # 0 $a Agricultural engineering $x Technological innovations. $3 1276924
650 # 0 $a Agriculture $x Remote sensing. $3 715013
650 # 0 $a Quality control $x Optical methods. $3 761184