Full Record Display for the EPA National Library Catalog

RECORD NUMBER: 3 OF 14

OLS Field Name OLS Field Data
Main Title Computer vision-based agriculture engineering /
Type EBOOK
Author Zhongzhi, Han,
Publisher CRC Press, Taylor & Francis Group,
Year Published 2020
Call Number S675
ISBN 9780429289460; 0429289464; 9781000691955; 1000691950; 9781000691788; 1000691780; 9781000691610; 1000691616
Subjects Agricultural engineering--Technological innovations. ; Agriculture--Remote sensing. ; Quality control--Optical methods. ; SCIENCE / Life Sciences / Botany ; TECHNOLOGY / Agriculture / General ; TECHNOLOGY / Remote Sensing
Internet Access
Description Access URL
Taylor & Francis https://www.taylorfrancis.com/books/9780429289460
Collation 1 online resource
Notes OCLC-licensed vendor bibliographic record.
Due to license restrictions, this resource is available to EPA employees and authorized contractors only
Contents Notes "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"--
Place Published New York, NY
PUB Date Free Form 2020
BIB Level m
Medium computer
Content text
Carrier online resource
Cataloging Source RDA
OCLC Time Stamp 20190925032302
Language eng
Origin CRCPRESS
Type EBOOK
OCLC Rec Leader 02526cam a22005178i 45