Sensing technologies for field and in-house crop production : technology review and case studies / Man Zhang, Han Li, Wenyi Sheng, Ruicheng Qiu, Zhao Zhang, editors.
2023
S494.5.I5
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Title
Sensing technologies for field and in-house crop production : technology review and case studies / Man Zhang, Han Li, Wenyi Sheng, Ruicheng Qiu, Zhao Zhang, editors.
ISBN
9789819979271 (electronic bk.)
9819979277 (electronic bk.)
9819979269
9789819979264
9819979277 (electronic bk.)
9819979269
9789819979264
Published
Singapore : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (vii, 136 pages) : illustrations (chiefly color).
Item Number
10.1007/978-981-99-7927-1 doi
Call Number
S494.5.I5
Dewey Decimal Classification
631.3
Summary
This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 14, 2023).
Added Author
Zhang, Man, editor.
Li, Han, editor. 1757-1804
Sheng, Wenyi, editor.
Qiu, Ruicheng, editor.
Zhang, Zhao, editor. (Computer scientist)
Li, Han, editor. 1757-1804
Sheng, Wenyi, editor.
Qiu, Ruicheng, editor.
Zhang, Zhao, editor. (Computer scientist)
Series
Smart agriculture ; v. 7.
Available in Other Form
Print version: 9789819979264
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Table of Contents
A Review of Three-Dimensional Multispectral Imaging in Plant Phenotyping
Recent Advances in Soil Nutrient Monitoring: A Review
Plant phenotyping robot platform
Autonomous crop image acquisition system based on ROS system
SeedingsNet: Field wheat seedling density detection based on deep learning
Wheat lodging detection using smart vision-based method
Design, construction, and experiment-based key parameter de-2 termination of auto maize seed placement system
Development and test of an auto seedling detection System.
Recent Advances in Soil Nutrient Monitoring: A Review
Plant phenotyping robot platform
Autonomous crop image acquisition system based on ROS system
SeedingsNet: Field wheat seedling density detection based on deep learning
Wheat lodging detection using smart vision-based method
Design, construction, and experiment-based key parameter de-2 termination of auto maize seed placement system
Development and test of an auto seedling detection System.