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Engineering - Electronics & Electrical Engineering | Smart Sensing Technology for Agriculture and Environmental Monitoring

Smart Sensing Technology for Agriculture and Environmental Monitoring

Chandra Mukhopadhyay, Subhas (Ed.)

2012, XII, 384p. 233 illus., 179 illus. in color.

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  • Focuses on different aspects of sensing technology, such as high reliability, adaptability, recalibration, information processing, and data fusion
  • Highlights validation and integration of novel and high-performance sensors for monitoring agricultural and environmental conditions
  • Written by leading experts in the field

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.

Content Level » Research

Keywords » Chemical Sensors - Fibre Optic Sensors - Gas Sensors - Intelligent and Smart Sensors - Magnetic Sensors - Medical Applications - Physical Sensors - Sensors - Wireless Sensors and Network

Related subjects » Electronics & Electrical Engineering - Signals & Communication

Table of contents 

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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