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Sensing technologies for field and in-house crop productiontechnology review and case studies /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Sensing technologies for field and in-house crop productionedited by Man Zhang ... [et al.].
其他題名:	technology review and case studies /
其他作者:	Zhang, Man.
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	vii, 136 p. :illustrations (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Agricultural innovations.
電子資源:	https://doi.org/10.1007/978-981-99-7927-1
ISBN:	9789819979271$q(electronic bk.)

Sensing technologies for field and in-house crop productiontechnology review and case studies /
Sensing technologies for field and in-house crop productiontechnology review and case studies /[electronic resource] :edited by Man Zhang ... [et al.]. - Singapore :Springer Nature Singapore :2023. - vii, 136 p. :illustrations (chiefly color), digital ;24 cm. - Smart agriculture,v. 72731-3484 ;. - Smart agriculture ;v. 1..

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.

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.

ISBN: 9789819979271$q(electronic bk.)

Standard No.: 10.1007/978-981-99-7927-1doiSubjects--Topical Terms:

575627
Agricultural innovations.

LC Class. No.: S494.5.I5

Dewey Class. No.: 631.3

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520 $a 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.
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