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Elsevier

Water Quality Monitoring and Management

Basis, Technology and Case Studies

  • 1st Edition - October 11, 2018
  • Latest edition
  • Authors: Daoliang Li, Shuangyin Liu
  • Language: English

Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlight… Read more

Description

Water Quality Monitoring and Management: Basis, Technology and Case Studies presents recent innovations in operations management for water quality monitoring. It highlights the cost of using and choosing smart sensors with advanced engineering approaches that have been applied in water quality monitoring management, including area coverage planning and sequential scheduling. In parallel, the book covers newly introduced technologies like bulk data handling techniques, IoT of agriculture, and compliance with environmental considerations. Presented from a system engineering perspective, the book includes aspects on advanced optimization, system and platform, Wireless Sensor Network, selection of river water quality, groundwater quality detection, and more.

It will be an ideal resource for students, researchers and those working daily in agriculture who must maintain acceptable water quality.

Key features

  • Discusses field operations research and application in water science
  • Includes detection methods and case analysis for water quality management
  • Encompasses rivers, lakes, seas and groundwater
  • Covers water for agriculture, aquaculture, drinking and industrial uses

Readership

Postgraduate students of Agricultural Science, electronic information engineering, computer science and technology, electrical engineering and automation and Engineering Faculties involved in Agricultural Engineering, Biosystems Engineering or Agricultural and Biological Engineering. Courses within the agricultural engineering discipline include: Bioenvironmental Engineering; Precision Agriculture; Agricultural Systems Management; Advanced Agricultural Operations Management; Undergraduates at Colleges for farm education and Agricultural Advisory Services around the globe. Farmers; Environmental Protection Agencies; Aquaculture Associations; Farmers associations

Table of contents

1. Sensors in Water Quality Monitoring2. Wireless Sensor Networks in Water Quality Monitoring3. System and Platform for Water Quality Monitoring4. Water Quality Evaluation5. Prediction of Water Quality6. Water Quality Early Warnings7. Detection of River Water Quality8. Water Quality Detection for Lakes9. Seawater Quality Detection10. Drinking Water Detection11. Groundwater Quality Detection12. Water Quality Monitoring in Aquaculture13. Detection of Industrial Water Quality

Product details

  • Edition: 1
  • Latest edition
  • Published: October 11, 2018
  • Language: English

About the authors

DL

Daoliang Li

Dr. Daoliang Li is Professor of Agricultural Engineering at China Agricultural University and Director of the National Innovation Center for Digital Fishery, Key Laboratory of Smart Farming for Aquatic Animal and Livestock, Ministry of Agricultural and Rural Affairs. He has held visiting positions at the University of California, Davis (USA), University of Bedfordshire (UK), Wageningen University (Netherlands), and IOSB Fraunhofer (Germany). He obtained his BA from Shandong Agricultural University and PhD from China Agricultural University’s College of Engineering. Dr. Li’s research has mainly focused on intelligent information processing, smart sensors/instruments, and robots for aquaculture and fish farming. He is the founder and editor-in-chief of Elsevier’s International Journal of Information Processing in Agriculture and has published 12 books, including Water Quality Monitoring and Management (Academic Press, 2018).
Affiliations and expertise
College of Information and Electrical Engineering, China Agricultural University, China

SL

Shuangyin Liu

S. Liu received his B.E. degree in the Department of Computer Science, Air Force Engineering University in 2002 and his M.E. degree in Faculty of Computer, Guangdong University of Technology in 2006. He is a Ph.D. student in the College of Information and Electric Engineering of China Agriculture University. He is a lecturer in the College of Information, Guangdong Ocean University, and he is a member of China Computer Federation. He primary research interests are intelligent information system of agriculture, artificial intelligence, software engineering, computational intelligence.
Affiliations and expertise
College of Information, Guangdong Ocean University, Zhanjiang Guangdong, China

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