TY  - BOOK
AU  - Yun,Yuliang
AU  - Sheng,Wenyi
AU  - Zhang,Zhao
ED  - SpringerLink (Online service)
TI  - Advanced Sensing and Robotics Technologies in Smart Agriculture
T2  - Smart Agriculture,
SN  - 9789819764419
AV  - TJ210.2-211.495 
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Robotics
KW  - Agriculture
KW  - Materials
KW  - Detectors
KW  - Image processing
KW  - Robotic Engineering
KW  - Sensors and biosensors
KW  - Image Processing
N1  - Research Progress on Seed Appearance Recognition for Major Crops -- A review of corn growth status sensing methods -- Greenhouse Phenotyping Measurement Techniques and Systems: A Review -- On-site Intelligent Grading System for Fruits and Vegetables: Case Studies on Tomato and Apple -- Recent advances in intelligent harvesting robots -- Infield honeysuckle detection based on improved YOLOv5s under natural lighting -- Multiscale wheat lodging parameter detection based on MobilenetV3
N2  - This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics
UR  - https://doi.org/10.1007/978-981-97-6441-9
ER  -