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

Xehetasun bibliografikoak
Erakunde egilea:	SpringerLink (Online service)
Beste egile batzuk:	Zhang, Zhao (Argitaratzailea), Jiang, Yongxin (Argitaratzailea), Wen, Chunhui (Argitaratzailea), Men, Shuyuan (Argitaratzailea), Zhang, Yuan (Argitaratzailea)
Gaia:	IX, 193 p. 78 illus., 70 illus. in color. text
Hizkuntza:	ingelesa
Argitaratua:	Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Edizioa:	1st ed. 2024.
Saila:	Smart Agriculture, 8
Gaiak:	Control engineering. Robotics. Automation. Agriculture. Image processing. Machine learning. Control, Robotics, Automation. Image Processing. Machine Learning.
Sarrera elektronikoa:	https://doi.org/10.1007/978-981-97-4141-0
Formatua:	Baliabide elektronikoa Liburua

Aurkibidea:

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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