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Transforming Technologies in Smart Agriculture : New Applications During the Past Decade / edited by Zhao Zhang, Yongxin Jiang, Chunhui Wen, Shuyuan Men, Yuan Zhang.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online
View online- Format:
- Book
- Author/Creator:
- Zhang, Zhao.
- Series:
- Smart Agriculture, 2731-3484 ; 8
- Language:
- English
- Subjects (All):
- Automatic control.
- Robotics.
- Automation.
- Agriculture.
- Image processing.
- Machine learning.
- Control, Robotics, Automation.
- Image Processing.
- Machine Learning.
- Local Subjects:
- Control, Robotics, Automation.
- Agriculture.
- Image Processing.
- Machine Learning.
- Physical Description:
- 1 online resource (201 pages)
- Edition:
- 1st ed. 2024.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9741-41-6
- OCLC:
- 1450881021
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