Computer Vision-Based Agriculture Engineering - Image 1

Price loading...

CRC Press Computer Vision-Based Agriculture Engineering

Name: Computer Vision-Based Agriculture Engineering
Brand: CRC Press

Botany & Plant Sciences

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

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.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 0367254301
Category: Books > Subjects > Science, Nature & Maths > Biological Sciences > Botany & Plant Sciences
Domain: Amazon UK
Release Date: 30 September 2019
Listed Since: 23 May 2019

Barcode

No barcode data available

CRC Press Computer Vision-Based Agriculture Engineering

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Computer Vision and Machine Learning in Agriculture (Algorithms for Intelligent Systems)

Deep Learning for Agricultural Visual Perception: Crop Pest and Disease Detection

Computer Vision Technology for Food Quality Evaluation (Food Science and Technology International Series)

Hyperspectral Imaging Technology in Food and Agriculture (Food Engineering Series)

Computer Vision Technology for Food Quality Evaluation

Optical Monitoring of Fresh and Processed Agricultural Crops (Contemporary Food Engineering)

Computer Vision and Machine Learning in Agriculture, Volume 2 (Algorithms for Intelligent Systems)

Automation for Food Engineering: Food Quality Quantization and Process Control (Contemporary Food Science)

Artificial Intelligence in Agriculture

Computer Vision: Object Detection In Adversarial Vision - CRC

Hyperspectral Imaging Analysis and Applications for Food Quality (Food Analysis & Properties)

Night Vision Processing and Understanding

Emerging Technologies for Food Quality and Food Safety Evaluation (Contemporary Food Engineering)

Applications of Image Processing and Soft Computing Systems in Agriculture (Advances in Environmental Engineering and Green Technologies)

Deep Learning in Computer Vision: Principles and Applications (Digital Imaging and Computer Vision)

Intelligent Data Mining and Fusion Systems in Agriculture

Advanced Nondestructive Detection Technologies in Food

Computer Vision: Algorithms and Applications (Texts in Computer Science)

Agricultural Cybernetics (Agriculture Automation and Control)

Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing)

Engineering Science Reference - Image Processing in Agriculture

Image Recognition: Progress, Trends and Challenges (Computational Mathematics and Analysis)

Emerging Technologies for Food Quality and Food Safety Evaluation (Contemporary Food Engineering)

Soil and Crop Sensing for Precision Crop Production (Agriculture Automation and Control)