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Advanced Sensing and Robotics Technologies in Smart Agriculture / edited by Yuliang Yun, Wenyi Sheng, Zhao Zhang.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2024 Available online

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Format:
Book
Contributor:
Yun, Yuliang, editor.
Sheng, Wenyi, editor.
Zhang, Zhao, editor.
Series:
Smart Agriculture, 2731-3484 ; 9
Language:
English
Subjects (All):
Robotics.
Agriculture.
Materials.
Detectors.
Image processing.
Robotic Engineering.
Sensors and biosensors.
Image Processing.
Local Subjects:
Robotic Engineering.
Agriculture.
Sensors and biosensors.
Image Processing.
Physical Description:
1 online resource (181 pages)
Edition:
1st ed. 2024.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Summary:
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.
Contents:
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.
Notes:
Includes bibliographical references.
ISBN:
981-9764-41-6
OCLC:
1455139213

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