Smart Sensing Technology for Agriculture and Environmental Monitoring
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Smart Sensing Technology for Agriculture and Environmental Monitoring

 eBook
Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9783642276385
Veröffentl:
2012
Einband:
eBook
Seiten:
386
Autor:
Subhas Chandra Mukhopadhyay
Serie:
146, Lecture Notes in Electrical Engineering
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:

This book reviews aspects of sensing technology for agricultural and environmental monitoring, including high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors.

The book focuses on the different aspects of sensing technology, i.e. high reliability, adaptability, recalibration, information processing, data fusion, validation and integration of novel and high performance sensors specifically aims to monitor agricultural and environmental parameters.

 

This book is dedicated to Sensing systems for Agricultural and Environmental Monitoring  offers to variety of users, namely, Master and PhD degree students, researchers, practitioners, especially Agriculture and Environmental engineers. The book will provide an opportunity of a dedicated and a deep approach in order to improve their knowledge in this specific field.

From the content: An Autonomous Wireless Sensor/Actuator Network for Precision Irrigation in Greenhouses.- Optical Sensors to assist agricultural crop and pasture management.- Design, Implementation, and Testing of an M2M-based Remote Agroecological Monitoring System for Oriental Fruit Fly, Bactrocera dorsalis (Hendel).- Analysis of Moisture Content, Total Oil and Fatty Acid Composition by NIR Reflectance Spectroscopy: A Review.- Greenhouse Environment: Air and Water Monitoring.- The Effect of Temperature Factor on the Detection of Nitrate Contamination in Water Based on Planar Electromagnetic Sensor and Independent Component Analysis.- Latent Variable Models in the Understanding of Animal Monitoring Data.

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