----Call for Book Chapters----

Agriculture and Environment Perspectives in Intelligent Systems

Ambient Intelligence and Smart Environments, IOS Press Book Series https://www.iospress.nl/bookserie/ambient-intelligence-and-smart-environments/


Editors

Andrés Muñoz -- Universidad Católica de Murcia, Spain
Jaehwa Park -- Chung Ang University, Korea

Motivations

Two of the most important worldwide challenges we need to face are to increase food production and protect the environment against factors such as climate change and environmental degradation. This requires the development of optimum environmental management strategies supported by the access to better information on environmental media condition (e.g., soils, waters, sediments, wastes). In order to fulfill this requirement, there is a need to increase the spatial density of environmental media data to ensure their right characterisation in a timely manner. This demand is enhanced by the fact that environmental media are highly heterogeneous and diverse temporally. Due to the high cost and time of traditional laboratory analysis, environmental sampling is often restricted. This increases the possibility of having undetected contamination and poor environmental media characterisation leading to environmental degradation and reducing the profitability or economic activities (e.g., agriculture). Intelligent systems represent alternative analysis tools by providing cost effective, rapid and real time measurement of environmental media, resulting in a new era for their characterisation and assessment. The development of this field offers an exciting opportunity for science advance and commercial application to capture the benefits of new technologies to assist the management of global environmental and economical problems. This development has applications in a wide range of areas (e.g., mining, contamination, agriculture, industrial processes) and requires the input of a number of disciplines (e.g., mathematics/statistics, telecommunications/informatics, environmental sciences). In this context, the use of intelligent systems will be paramount to understand, optimize and automate agricultural and environmental processes.

Topics
Areas of interest include, but are not limited to, the following:
• Agriculture Information Technologies
• Smart farming
• Precision agriculture
• Environmental degradation assessment and rehabilitation
• Environmental monitoring
• Linking environmental characterisation and broad management
• Intelligent forecasting applications
• Intelligent applications for ecological disaster management
• Intelligent waste management
• Sensor development
• Multi sensor and data fusion
• Big Data applied to agriculture and enviromental problems


Instructions for Authors

Authors may submit novel contributions of a minimum of 20 pages. All papers will be reviewed against the standard criteria of relevance, originality, significance, clarity and soundness, and are expected to meet high quality standards. Contributions may not be submitted to other conferences or journals during the reviewing period nor they may be already under review or published in other conferences or journals.

All submissions will be made electronically, through the EasyChair conference system:
https://easychair.org/conferences/?conf=aepis18

Submitted PDF papers should follow the IOS Press author kit instructions for formatting:
http://www.iospress.nl/service/authors/latex-and-word-tools-for-book-authors/


Important Dates

Chapter Submission: 15th of September 2018
Notification of Acceptance: 15th of October 2018
Final Version due: 1st of November 2018
Book submission to IOS Press: 1st of December 2018
Foreseen Publication Date: January 2019

Contact information

Please address your inquires to both editors:
- Andrés Muñoz, email: amunoz@ucam.edu
- Jaehwa Park, email: jaehwa@cau.ac.kr

I n f o r mat i o n o n b o o k s er i es “ A mb i en t I n t el l i gen c e an d S mar t E n vi r o n men t s ” Ambient Intelligence (AmI) and Smart Environments (SmE) are two mutually complementary areas which are growing fast as multi-disciplinary fields with a huge potential to benefit society. A Smart Environment is a place that has been enriched with technology (sensors, processors, actuators, information terminals, etc) to enhance the services that can provide to humans. Ambient Intelligence enhances the global behaviour of such a system by providing high level functionality which provides an added value to the typical services expected in a specific environment. Usually an analysis is performed in real-time over the events that are recorded within the smart environment which allows a timely interaction with the inhabitants of the environment to provide a service. Volumes in this series are accepted in Clarivate's Conference Proceedings Citation Index, a Web of Science® database.