UID:
almahu_9949850916102882
Format:
IX, 193 p. 78 illus., 70 illus. in color.
,
online resource.
Edition:
1st ed. 2024.
ISBN:
9789819741410
Series Statement:
Smart Agriculture, 8
Content:
This book collects transforming technologies in smart agriculture and their applications during the past decade. It focuses on the latest sensing and automation technologies for field and specialty crop production, and provides a lot of innovative knowledge on imaging processing, AI algorithms, robotics, and their applications in agriculture. It provides undergraduate or graduate students take-away knowledge for unmanned agriculture production, including but not limited to, corn/wheat disease detection, cotton yield prediction, and apple detection. Furthermore, this book includes review reports on plant phenotyping sensing and automation technologies and techniques for aphid detection.
Note:
Chapter 1 A Review of Field Plant Phenotyping Platform, Sensing and Navigation Technology -- Chapter 2 Precision Handling of Green Apples in Orchard Environments Using Computer Vision -- Chapter 3 Corn Diseased Leaf Segmentation under Different Illumination Conditions -- Chapter 4 Research on Field Cotton Yield Prediction System Based on Improved YOLOv5 Cotton Detection Model and Android Development -- Chapter 5 Automatic segmentation algorithm for wheat field images based on UAV -- Chapter 6 Aphid Detection Techniques: A State-of-Art Review -- Chapter 7 A Comprehensive Analysis of Different Object Detection Frameworks and Path Optimization Algorithms for an RGB-D Camera-based Rock Detection System.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9789819741403
Additional Edition:
Printed edition: ISBN 9789819741427
Additional Edition:
Printed edition: ISBN 9789819741434
Language:
English
DOI:
10.1007/978-981-97-4141-0
URL:
https://doi.org/10.1007/978-981-97-4141-0
URL:
Volltext
(URL des Erstveröffentlichers)
