Computer Vision-Based Agriculture Engineering (Record no. 582)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02601 a2200301 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1032089210 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100355.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042021xx 162 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781032089218 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 46.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TVB |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | RGC |
| Source | thema |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TVB |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | RGC |
| Source | bic |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC036000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | SCI011000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | SCI086000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC003000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 631.5233 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Han Zhongzhi |
| 245 10 - TITLE STATEMENT | |
| Title | Computer Vision-Based Agriculture Engineering |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20210630 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 348 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | In recent years, computer vision is a fast-growing technique of agricultural engineering, especially in quality detection of agricultural products and food safety testing. It can provide objective, rapid, non-contact and non-destructive methods by extracting quantitative information from digital images. Significant scientific and technological advances have been made in quality inspection, classification and evaluation of a wide range of food and agricultural products. Computer Vision-Based Agriculture Engineering focuses on these advances. The book contains 25 chapters covering computer vision, image processing, hyperspectral imaging and other related technologies in peanut aflatoxin, peanut and corn quality varieties, and carrot and potato quality, as well as pest and disease detection. Features: Discusses various detection methods in a variety of agricultural crops Each chapter includes materials and methods used, results and analysis, and discussion with conclusions Covers basic theory, technical methods and engineering cases Provides comprehensive coverage on methods of variety identification, quality detection and detection of key indicators of agricultural products safety Presents information on technology of artificial intelligence including deep learning and transfer learning 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 all 25 chapters of this book. This unique work provides students, engineers and technologists working in research, development, and operations in agricultural engineering with critical, comprehensive and readily accessible information. It applies development of artificial intelligence theory and methods including depth learning and transfer learning to the field of agricultural engineering testing. |
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