Transforming Technologies in Smart Agriculture New Applications During the Past Decade /

Bibliographische Detailangaben
Körperschaft:	SpringerLink (Online service)
Weitere Verfasser:	Zhang, Zhao (HerausgeberIn), Jiang, Yongxin (HerausgeberIn), Wen, Chunhui (HerausgeberIn), Men, Shuyuan (HerausgeberIn), Zhang, Yuan (HerausgeberIn)
Zusammenfassung:	IX, 193 p. 78 illus., 70 illus. in color. text
Sprache:	Englisch
Veröffentlicht:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Ausgabe:	1st ed. 2024.
Schriftenreihe:	Smart Agriculture, 8
Schlagworte:	Control engineering. Robotics. Automation. Agriculture. Image processing. Machine learning. Control, Robotics, Automation. Image Processing. Machine Learning.
Online-Zugang:	https://doi.org/10.1007/978-981-97-4141-0
Format:	Elektronisch Buch

Inhaltsangabe:

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.

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