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Author Zhongzhi, Han, 1981- author.

Title Computer vision-based agriculture engineering / Han Zhongzhi
Published New York, NY : CRC Press, Taylor & Francis Group, [2020]
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Description 1 online resource
Summary "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"-- Provided by publisher
Bibliography Includes bibliographical references and index
Notes Han Zhongzhi (1981.6-), Ph. D., Male, Born in Junan County, Shandong Province, China. Full professor of Qingdao Agricultural University, Master's supervisor, 3-level candidate of "1361" talent engineering, head of modern agricultural intelligent equipment innovation team; Chief expert of Qingdao agricultural intelligent equipment expert workstation, Evaluation expert of National Natural Science Foundation and National IOT Special Fund, Intel Certified Visual Computing Engineer, member of International Computer Association (ACM) Expert Committee, Reviewer of many journals such as "Computers and Electronics in Agriculture" and Editorial Committee of "Higher Education Research and Practice". The main research area is computer vision intelligent detection in agricultural products
Description based on print version record and CIP data provided by publisher; resource not viewed
Subject Agricultural engineering -- Technological innovations
Agriculture -- Remote sensing
Quality control -- Optical methods.
Agriculture -- Remote sensing.
Quality control -- Optical methods.
SCIENCE / Life Sciences / Botany
TECHNOLOGY / Agriculture / General
TECHNOLOGY / Remote Sensing
Form Electronic book
LC no. 2019025857
ISBN 0429289464