This volume is the last (IV) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to 'digital transformation" within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on the directions of Agriculture 4.0 which incorporates the transition to a new era of action in the Agricultural sector, represented by the evolution of digital technologies in 4 aspects: Big Data, Open Data, Internet of Things (IoT), and Cloud Computing. Under the heading of "Action," 14 Chapters investigate the implementation of cutting-edge technologies on real world applications. It will become apparent to the reader that the penetration of ICT in agriculture can result in several benefits related to the sustainability of the sector and to yield the maximum benefits, successful management is required. The entire discussion highlights the importance of proper education in the adoption of innovative technologies starting with the adaption of educational systems to the new era and moving to the familiarization of farmers to the new technologies. This book covers topics that relate to the digital transformation of farming. It provides examples and case studies of this transformation from around the world, examines the process of diffusion of digital technologies, and assesses the current and future sustainability aspects of digital agriculture. More specifically, it deals with issues such as: Challenges and opportunities from the transition to Agriculture 4.0 Safety and health in agricultural work automation The role of digital farming on regional-spatial planning The enrollment of Social Media in IoT-based agriculture The role of education in digital agriculture Real-life implementation cases of smart agriculture around the world

Welcome to the proceedings of the Third International Conference on Sustainability in Energy and Buildings, SEB 11, held in Marseilles in France, organised by the Laboratoire des Sciences del'Information et des Systemes (LSIS) in Marseille, France in partnership with KES International.

SEB'11 formed a welcome opportunity for researchers in subjects related to sustainability, renewable energy technology, and applications in the built environment to mix with other scientists, industrialists and stakeholders in the field.

The conference featured presentations on a range of renewable energy and sustainability related topics. In addition the conference explored two innovative themes:

the application of intelligent sensing, control, optimisation and modelling techniques to sustainability and

the technology of sustainable buildings.

These two themes combine synergetically to address issues relating to The Intelligent Building.

SEB 11 attracted a significant number of submissions from around the world. These were subjected to a two-stage blind peer-review process. With the objective of producing a high-quality conference, only the best 50 or so of these were selected for presentation at the conference and publication in the proceedings.

It is hoped that you will find this volume an interesting, informative and useful resource for your research. "

Weed management Decision Support Systems (DSS) are increasingly important computer-based tools for modern agriculture. Nowadays, extensive agriculture has become highly dependent on external inputs and both economic costs, as well the negative environmental impact of agricultural activities, demands knowledge-based technology for the optimization and protection of non-renewable resources. In this context, weed management strategies should aim to maximize economic profit by preserving and enhancing agricultural systems. Although previous contributions focusing on weed biology and weed management provide valuable insight on many aspects of weed species ecology and practical guides for weed control, no attempts have been made to highlight the forthcoming importance of DSS in weed management. This book is a first attempt to integrate `concepts and practice' providing a novel guide to the state-of-art of DSS and the future prospects which hopefully would be of interest to higher-level students, academics and professionals in related areas.

This volume is the third (III) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to 'digital transformation" within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus of this book (III) is on the transformation of collected information into valuable decisions and aims to shed light on how best to use digital technologies to reduce cost, inputs, and time, toward becoming more efficient and transparent. Fourteen chapters are grouped into 3 Sections. The first section of is dedicated to decisions in the value chain of agricultural products. The next section, titled Primary Production, elaborates on decision making for the improvement of processes taking place with the farm under the implementation of ICT. The last section is devoted to the development of innovative decision applications that also consider the protection of the environment, recognizing its importance in the preservation and considerate use of resources, as well as the mitigation of adverse impacts that are related to agricultural production. Planning and modeling the assessment of agricultural practices can provide farmers with valuable information prior to the execution of any task. This book provides a valuable reference for them as well as for those directly involved with decision making in planning and assessment of agricultural production. Specific advances covered in the volume: Modelling and Simulation of ICT-based agricultural systems Farm Management Information Systems (FMIS) Planning for unmanned aerial systems Agri-robotics awareness and planning Smart livestock farming Sustainable strategic planning in agri-production Food business information systems

Over the last few decades, unprecedented global population growth has led to increased demand for food and shelter. At the same time, extraction of natural resources beyond the Earth's resilience capacity has had a devastating effect on ecosystems and environmental health. Furthermore, climate change is having a significant impact in a number of areas, including the global hydrological cycle, ecosystem functioning, coastal vulnerability, forest ecology, food security, and agricultural sustainability. According to the Intergovernmental Panel on Climate Change (IPCC), only immediate and sustained action will prevent climate change causing irreversible and potentially catastrophic damage to our environment. This book presents various scientific views and concepts, research, reviews, and case studies on contemporary environmental issues in changing climate scenarios and highlights different adaptation measures. Increasing awareness of modern-day patterns of climate change, it addresses questions often raised by environmental scientists, researchers, policymakers and general readers.

While existing approaches to monitoring environmental contaminants tend to focus on a small suite of contaminant types and often involve monitoring at fixed points and at fixed times, Monitoring Environmental Contaminants focuses on a wide range of new technologies and approaches available for monitoring chemical and biological contaminants in air, water, soil and food. These new methods allow the ability to monitor a wider range of contaminants at much greater and temporal resolutions. Adoption of these methods could result in a change in our understanding of how humans and ecosystems are exposed to contaminants in different environmental media. This volume in the Environmental Contaminants Series provides an overview of a wide range of monitoring approaches ranging from citizen science networks to the use of robotics and sensor networks. Monitoring Environmental Contaminants describes challenges in the adoption of some of these new approaches and methods for dealing with these challenges such as the use of mining techniques for large data. The case studies within will provide a thorough illustration for researchers, academics, and scientists involved in ecology and environmental sciences.

knowledge. This material provided has been collected from different sources. One important source is the material available from EURACHEM. Eurachem is a network of organisations in Europe having the objective of establishing a system for the international tra- ability of chemical measurements and the promotion of good quality practices. It provides a forum for the discussion of common problems and for developing an informed and considered approach to both technical and policy issues. It provides a focus for analytical chemistry and quality related issues in Europe. You can find more information about EURACHEM on the internet via "Eurachem -A Focus for Analytical Chemistry in Europe" (http: //www.eurachem.org). In particular the site Guides and Documents contains a number of different guides, which might help you to set up a quality system in your laboratory. The importance of quality assurance in analytical chemistry can best be described by the triangles depicted in Figs. 1 and 2. Quality is checked by testing and testing guaranties good quality. Both contribute to progress in QA (product control and quality) and thus to establishing a market share. Market success depends on quality, price, and flexibility. All three of them are interconnected. Before you can analyse anything the sample must be taken by someone. This must be of major concern to any analytical chemist. There is no accurate analysis wi- out proper sampling. For correct sampling you need a clear problem definition. There is no correct sampling without a clear problem definition

Intelligent Environmental Data Monitoring for Pollution Management discusses evolving novel intelligent algorithms and their applications in the area of environmental data-centric systems guided by batch process-oriented data. Thus, the book ushers in a new era as far as environmental pollution management is concerned. It reviews the fundamental concepts of gathering, processing and analyzing data from batch processes, followed by a review of intelligent tools and techniques which can be used in this direction. In addition, it discusses novel intelligent algorithms for effective environmental pollution data management that are on par with standards laid down by the World Health Organization.

This volume reviews recent hydrological and environmental issues resulting from human-induced water pollution practices while providing case studies on the physical, chemical, and eco-biological techniques used to mitigate the impacts of river ecosystem pollution in South Asian countries. The book demonstrates the key methods of measurement, monitoring, mapping, and modeling of river water quality and how it is impacted by pollution and incorporates contemporary geospatial technological applications for the management and sustainability of future water resources. The major topics that the book addresses are the fundamental concepts of river ecosystem health, riverine ecology and habitats, risk assessment of riverine pollution, and technology-based river pollution control strategies. The book will serve as an interdisciplinary guide for researchers, students, and GIS specialists working in various disciplines, including pollution hazards, river ecosystem restoration, water quality, remote sensing, zoology, natural resources management, and environmental geography.

This manual describes the wide range of electromechanical, electrochemical and electro-optical transducers at the heart of current field-deployable ocean observing instruments. Their modes of operation, precision and accuracy are discussed in detail. Observing platforms ranging from the traditional to the most recently developed are described, as are the challenges of integrating instrument suits to individual platforms. Technical approaches are discussed to address environmental constraints on instrument and platform operation such as power sources, corrosion, biofouling and mechanical abrasion. Particular attention is also given to data generated by the networks of observing platforms that are typically integrated into value-added data visualization products, including numerical simulations or models. Readers will learn about acceptable data formats and representative model products. The last section of the book is devoted to the challenges of planning, deploying and maintaining coastal ocean observing systems. Readers will discover practical applications of ocean observations in diverse fields including natural resource conservation, commerce and recreation, safety and security, and climate change resiliency and adaptation. This volume will appeal to ocean engineers, oceanographers, commercial and recreational ocean data users, observing systems operators, and advanced undergraduate and graduate students in the field of ocean observing.

This volume is the second (II) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to 'digital transformation" within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The first part of this book (II) focuses on data technologies in relation to agriculture and presents three key points in data management, namely, data collection, data fusion, and their uses in machine learning and artificial intelligent technologies. Part 2 is devoted to the integration of these technologies in agricultural production processes by presenting specific applications in the domain. Part 3 examines the added value of data management within agricultural products value chain. The book provides an exceptional reference for those researching and working in or adjacent to agricultural production, including engineers in machine learning and AI, operations management, decision analysis, information analysis, to name just a few. Specific advances covered in the volume: Big data management from heterogenous sources Data mining within large data sets Data fusion and visualization IoT based management systems Data Knowledge Management for converting data into valuable information Metadata and data standards for expanding knowledge through different data platforms AI - based image processing for agricultural systems Data - based agricultural business Machine learning application in agricultural products value chain

Data-Driven Modeling: Using MATLAB(r) in Water Resources and Environmental Engineering provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation.
The book presentsthe statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques.
The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB(r) unified platform, can be found on extras.springer.com.
The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering. "

This book presents a broad range of technologies for sustainable agrochemistry, e.g. semiochemicals for pest management, nanotechnology for release of eco-friendly agrochemicals, and green chemistry principles for agriculture. It provides a concise introduction to sustainable agrochemistry for a professional audience, and highlights the main scientific and technological approaches that can be applied to modern agrochemistry. It also discusses various available technologies for reducing the negative impacts of agrochemicals on the environment and human health.

A gripping new thriller with a killer twist! Two bodies. Thirty years. And a secret that connects them both... 1990 A woman's body is found brutally murdered in the woods, and next to it, a shallow grave hiding a terrified young girl. 2021 When Mia and Rich move to an eco-village in Spain, they're looking for a new start. Val Verde is everything they wished for - at least to begin with. But when someone is murdered in an olive grove, Mia realises the village isn't the safe haven she was hoping for... There's a killer in the village - and they'll stop at nothing until they get revenge...

"Remote Sensing Applications in Environmental Research "is the basis for advanced Earth Observation (EO) datasets used in environmental monitoring and research. Now that there are a number of satellites in orbit, EO has become imperative in today s sciences, weather and natural disaster prediction. This highly interdisciplinary reference work brings together diverse studies on remote sensing and GIS, from a theoretical background to its applications, represented through various case studies and the findings of new models. The book offers a comprehensive range of contributions by well-known scientists from around the world and opens a new window for students in presenting interdisciplinary and methodological resources on the latest research. It explores various key aspects and offers state-of-the-art research in a simplified form, describing remote sensing and GIS studies for those who are new to the field, as well as for established researchers."

Coastal Altimetry: Selected Case Studies from Asian Shelf Seas provides information on developments over the past decade in the processing of remotely sensed altimetry in coastal areas, with an overview of expected errors and where they stem from, along with remaining gaps in processing. Challenges covered include the retracking of the altimetric signal to account for land contamination, tropospheric water corrections, and tidal model improvements, along with the pros and cons of widely available products. Additional chapters provide recent research in the regional seas of Asia and cover variability, dynamics, predictability and prediction, impacts of extreme events, effects to ecosystems, and more. This book offers readers a dataset that can illuminate our understanding of the propagation of planetary boundary waves that have a significant sea level signal in near coastal regions. As such, researchers and students who have a foundation in satellite altimetry and want to know the latest development of open ocean and coastal satellite altimetry, especially in Asian coastal regions, will benefit from this book.

This book addresses disaster and disaster risk reduction (DRR) practices, constraints and capacity in the context of coastal Bangladesh. Located in the lower riparian of the Bay of Bengal, Bangladesh has to face frequent disasters such as floods, cyclones, river erosion, salinity intrusion as well as drought. Drawing together a range of multidisciplinary perspectives, Coastal Disaster Risk Management in Bangladesh explores the connection between climate change and DRR issues in this region. The editors reorganize disaster studies around social and physical changes that can reduce these risks and put at risk populations on a stronger footing by making risk reduction the focus. These include measures to improve disaster preparedness, to boost recovery by creating better disaster planning and programs, and physical and social initiatives to improve disaster resilience. Also, analyzing the gender perspective, the volume also utilizes the local knowledge framework to consider whether these populations have resilient knowledge that needs to be incorporated into initiatives based on advanced technology and perspectives. This book will be of interest to academics, researchers, students, policymakers and practitioners in the field of disaster, DRR and governance, climate change, climate change adaptation (CCA) and the environment.

This book addresses disaster and disaster risk reduction (DRR) practices, constraints and capacity in the context of coastal Bangladesh. Located in the lower riparian of the Bay of Bengal, Bangladesh has to face frequent disasters such as floods, cyclones, river erosion, salinity intrusion as well as drought. Drawing together a range of multidisciplinary perspectives, Coastal Disaster Risk Management in Bangladesh explores the connection between climate change and DRR issues in this region. The editors reorganize disaster studies around social and physical changes that can reduce these risks and put at risk populations on a stronger footing by making risk reduction the focus. These include measures to improve disaster preparedness, to boost recovery by creating better disaster planning and programs, and physical and social initiatives to improve disaster resilience. Also, analyzing the gender perspective, the volume also utilizes the local knowledge framework to consider whether these populations have resilient knowledge that needs to be incorporated into initiatives based on advanced technology and perspectives. This book will be of interest to academics, researchers, students, policymakers and practitioners in the field of disaster, DRR and governance, climate change, climate change adaptation (CCA) and the environment.

Environmental Modeling and Health Risk Analysis (ACTS/RISK) The purpose of this book is to provide the reader with an integrated perspective on several ?elds. First, it discusses the ?elds of environmental modeling in general and multimedia (the term "multimedia" is used throughout the text to indicate that environmental transformation and transport processes are discussed in association with three environmental media: air, groundwater and surface water pathways) environmental transformation and transport processes in particular; it also provides a detailed description of numerous mechanistic models that are used in these ?elds. Second, this book presents a review of the topics of exposure and health risk analysis. The Analytical Contaminant Transport Analysis System (ACTS) and Health RISK Analysis (RISK) software tools are an integral part of the book and provide computational platforms for all the models discussed herein. The most recent versions of these two software tools can be downloaded from the publisher's web site. The author recommends registering the software on the web download page so that users can receive updates about newer versions of the software.

Engineered Nanomaterials and Phytonanotechnology: Challenges for Plant Sustainability, Volume 87 in the Comprehensive Analytical Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters on the Environmental application of nanomaterials: A promise to sustainable future, Plant-nanoparticle interactions: Mechanisms, effects, and approaches, A general overview on application of nanoparticles in agriculture and plant science, Engineered nanomaterials uptake, bioaccumulation and toxicity mechanisms in plants, Engineered nanomaterials in plants: Sensors, carriers, and bio-imaging, Antioxidant role of nanoparticles for enhancing ecological performance of plant system, Toxicity assessment of metal oxide nanoparticles on terrestrial plants, and much more.

Over-pumping of aquifers is a worldwide problem, mainly caused by agricultural water use. Among its consequences are the falling dry of streams and wetlands, soil subsidence, die-off of phreatophytic vegetation, saline water intrusion, increased pumping cost and loss of storage needed for drought relief. Stopping or reversing the trend requires management interventions. The North China Plain serves as an example. A management system is set up for a typical county. It contains three components: monitoring, decision support based on modelling, and implementation in the field. Besides all monitoring data, the decision support module contains an irrigation calculator, a box model, and a distributed groundwater model to project the outcomes of different water allocation scenarios. In view of grain security, a solution combines an adaptation of the cropping system with imports of surface water from the South. The Open Access book does not only describe the problem and the path to its solution. It also gives access to nine manuals concerning methods used. They include computer programs and the game Save the Water. The Chinese experience should be of considerable interest to other regions in the world which suffer from over-pumping of aquifers.

This book is the result of collaboration within the frames of the 5th International Conference "Trigger Effects in Geosystems" held in the Institute of Geosphere Dynamics of Russian Academy of Sciences, June 2019. This book aims to raise awareness about different triggering aspects in the geosphere and its effects.The conference provided a multidisciplinary platform with a focus on (i) the influence of natural and anthropogenic factors on the geosphere, geomechanical systems and anthropogenic objects found in a subcritical state and (ii) the influence of these factors on the system "atmosphere - ionosphere". The problems considered in the book may be interesting for a wide audience including students, professionals, researches, and for the industry.

This volume is devoted to compiling recent advancements, methodological improvements, new processing techniques, integration methods and rigorous applications associated with conceptual techniques on the conservation and monitoring of forest resources for a scientific audience, with a focus on cases and applications in India. The primary objective of the book is to advance the scientific understanding of the recent trends and technological improvements in forest conservation, management and related research themes in forest resources and human-wildlife interactions. The book is organized into five sections: (I) Forest Conservation Ecology (II) Forest Conservation and Society (III) Forest Management (IV) Forest Monitoring using GIS and Remote Sensing and (V) Human Wildlife Conflicts. It covers various research themes related to forestry, wildlife, habitat fragmentation, forest management and human-wildlife conflict research, and therefore will be beneficial to a diverse range of researchers, scientific organizations, wildlife scientists, biologists, ecologists and planners in the fields of wildlife and forestry. The book will further be of use to post-graduates, PhD research scholars, professors, geospatial experts, modellers, foresters, agricultural scientists, biologists, ecologists, environmental consultants and big data compilers.

This contemporary textbook and manual for aspiring or new environmental managers provides the theory and practical examples needed to understand current environmental issues and trends. Each chapter explains the specific skills and concepts needed for today's successful environmental manager, and provides skill development exercises that allow students to relate theory to practice in the profession. Readers will obtain an understanding not only of the field, but also of how professional accountability, evolving science, social equity, and politics affect their work. This foundational textbook provides the scaffolds to allow students to understand the environmental regulatory infrastructure, and how to create partnerships to solve environmental problems ethically and implement successful environmental programs.

Tools, Techniques and Protocols for Monitoring Environmental Contaminants describes information on the strategic integration of available monitoring methods with molecular techniques, with a focus on omics (DNA, RNA and protein based) and molecular imprinted polymer and nanomaterial based advanced biosensors for environmental applications. It discusses the most commonly practiced analytic techniques, such as HPLC, MS, GCMS and traditional biosensors, giving an overview of the benefits of advanced biosensors over commonly practiced methods in the rapid and reliable assessment of environmental contaminants. As environmental contaminants have become one of the serious concerns in terms of their rapid growth and monitoring in the environment, which is often limited due to costly and laborious methods, this book provides a comprehensive update on their removal, the challenges they create for environmental regulatory agencies, and their diverse effects on terrestrial and aquatic environments.