Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : électronique
Titre(s) : Smart sensing technology for agriculture and environmental monitoring [Texte électronique] / Subhas C Mukhopadhyay (ed.)
Publication : Berlin ; New York : Springer, cop. 2012
Description matérielle : 1 online resource (viii, 386 pages)
Collection : Lecture notes in electrical engineering ; v. 146
Note(s) : Includes author index. - Includes bibliographical references and index
Annotation ; 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
Autre(s) auteur(s) : Mukhopadhyay, Subhas C.
Mukhopadhyay, Subhas Chandra. Fonction indéterminée
Sujet(s) : Agriculture -- Télédétection
Environnement -- Surveillance -- Télédétection
Ingénierie
Indice(s) Dewey :
910.285 (23e éd.) = Géographie et voyages - Informatique appliquée ; 621.381 (20e éd.) = Electronique
Identifiants, prix et caractéristiques : ISBN 9783642276385
Identifiant de la notice : ark:/12148/cb44703814v
Notice n° :
FRBNF44703814
(notice reprise d'un réservoir extérieur)
Table des matières : 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.