Computer vision-based agriculture engineering / Han Zhongzhi.
By: Zhongzhi, Han [author.]
Publisher: New York, NY : CRC Press, Taylor & Francis Group, c2020Description: xvii, 329 pages : illustrationsContent type: text Media type: unmediated Carrier type: volumeISBN: 9780367254308Subject(s): Agricultural engineering -- Technological innovations | Agriculture -- Remote sensing | Quality control -- Optical methodsAdditional physical formats: Online version:: Computer vision-based agriculture engineeringDDC classification: 631.5233 LOC classification: S675 | .Z49 2020Summary: "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.| Item type | Current location | Home library | Collection | Call number | Vol info | Status | Date due | Barcode | Item holds |
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| Book | COLLEGE LIBRARY | COLLEGE LIBRARY RESERVE | NON-FICTION | 631.5233 Z637 2020 (Browse shelf) | 9923 | Available | 9923 |
Browsing COLLEGE LIBRARY Shelves , Shelving location: RESERVE , Collection code: NON-FICTION Close shelf browser
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| 631.5233 G448 2021 Plant biotechnology : the genetic manipulation of plants / | 631.5233 S617 2021 Plant molecular farming / | 631.5233 T772 2019 Transgenic plants and crops / | 631.5233 Z637 2020 Computer vision-based agriculture engineering / | 631.53 G448 2022 Genetics and breeding of plants / | 631.53 P713 2019 Plant breeding from laboratories to fields / | 631.56 S617 2021 Postharvest management / |
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"-- Provided by publisher.
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