Transforming Technologies in Smart Agriculture New Applications During the Past Decade /
企业作者: | |
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其他作者: | , , , , |
总结: | IX, 193 p. 78 illus., 70 illus. in color. text |
语言: | 英语 |
出版: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
|
版: | 1st ed. 2024. |
丛编: | Smart Agriculture,
8 |
主题: | |
在线阅读: | https://doi.org/10.1007/978-981-97-4141-0 |
格式: | 电子 电子书 |
书本目录:
- 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.