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The purpose of this paper is to develop a robotic system to feed aquatic organisms and measure water physicochemical parameters in experimental aquaculture ponds.

A dispatcher unit dispenses a precise amount of food and control panel software schedules the tasks and operates the robot. In the control panel, the feeding and measuring schedule is defined and sent to the mobile robot and the amount of food is requested by the robot to the dispatcher for each pond. The robot travels automatically on a monorail to dispense the food and measure the water parameters. The data are transmitted to the control panel. The system can be remotely operated over the internet through a client‐server software framework.

The robotic system is a tool for delegating feeding and measuring tasks. This allows researchers and technicians time to focus on more substantive aquacultural research tasks.

Future improvement will include an automatic unit for cleaning sensors between ponds to minimize the risk of cross‐contamination.

The system systematized feeding and measuring tasks, minimized human error, and optimized the use of resources for aquacultural experimentation. The robotic system can be programmed for a variety of experimental conditions, such as the delivery of different diets at diverse schedules.

The proposed robot was tested for feeding freshwater redclaw crayfish (Cherax quadricarinatus) and monitored the water parameters in real time. Based on the field results, the robotic system provided a reliable and robust device for aquacultural research applications.

This chapter deals with the impacts of climate change over food production and safety at every level, agriculture–aquaculture–livestock system–consumers, and attempts to propose possible solutions.

This study explores the thematic relationships within the field of sustainability of agri-food chains oriented toward Industry 4.0, focusing on the analysis of scientific production, through research articles and technological output according to patents worldwide. Agri-food Industry 4.0 is an expanding interdisciplinary field in which science and technology interactions are increasingly intensifying with a strong link to sustainable development.

This study has used high impact indexed publications (Web of science) and patents as proxy indicators of innovation, which are transformed into two sets of data, reflecting the scientific and technical backgrounds, respectively. On the one hand, both quantitative and qualitative analysis methodologies were used to examine the scientific papers through descriptive analysis, focused on collaborations networks by authors, institutions, and countries, as well as a content analysis of keywords. On the other hand, the analysis of technical background on patent families shows the temporal evolution of technologies with future challenging trends, text mining, main applicants, and geographical examination.

The results show that in the field of sustainability in agri-food chains oriented to Industry 4.0, most research is in the agricultural field in scientific articles, with high impact in climate-smart agriculture. Patent analysis reveals a marked increase in the patenting rate from 2012 and 2013, coinciding with the start of scientific production in this field of knowledge. In spite of the fact that China is the leader country in this technological field, India shows a significant change. Moreover, India is a country that is currently showing significant progress, both in the field of scientific production and in its categorization as an innovative country due to its growth in patent filings.

This paper aims to describe an exploratory research and design process that uses illustrative techniques to bridge the gap between theoretical principles of systems ecology, stakeholder input and a workable physical planning strategy for Ultuna Campus in Uppsala, Sweden.

Stakeholder interviews provide the empirical basis for this exploratory design process, in conjunction with landscape analysis, and review of previous proposals for campus development. Central principles of self-organizing systems are selected and concretized as visionary hypotheses in a physical context. Preliminary design concepts and plans illustrate sustainable systems while supporting new functional programmatic requirements: housing, industry-research collaboration, transportation and community-integrated landscapes.

The result is a proposal based on regenerative landscape design, envisioning campus Ultuna as a coherent whole.

A large-scale modern building program is already underway at Ultuna, and rapid urbanization in the surrounding region coupled with projected growth on campus suggests future intensification of university lands. A master plan to be implemented until 2040 is now in the preliminary design phase. Ultuna is home to significant cultural and ecological landscapes, and a holistic approach is called for.

Illustrative techniques suggest ways to synthesize knowledge by creating future scenarios that are workable in practice.

Global challenges call for designs that enhance environmental and human resources and their capacity to regenerate over time. Sustainability objectives are particularly crucial when envisioning university campuses; the environment serves as a laboratory for researchers, teachers, students and residents of the surrounding community.

This paper describes an innovative process for bridging ecological principles, stakeholder perspectives and practical design strategies for sustainable campuses.

Aquaculture has become the world’s fastest growing food-production technology. This chapter outlines the main factors for this growth and shows how farmed seafood can contribute directly and indirectly to food security. We used the databases of the FAO on food production and trade to analyze the development of production in the main categories of animal protein. The trends were interpreted in a productivity growth and trade context. We found that modern aquaculture is enabled by transferring knowledge from terrestrial animal production and from developing new technologies to create substantial productivity growth and production cost reductions. The current growth rate of aquaculture production exceeds all other types of meat production and is expected to continue to increase as the agro-science industry expands (seafood made up 34.5% of the world’s animal production in 2013). More than 90% of the world’s aquaculture production takes place in developing countries, where it contributes to food security directly through consumption or indirectly as a source of income. Seafood is a main source of animal protein in many parts of the world, particularly in developing countries. Depending on species and country, farmed seafood contributes to food security directly through domestic consumption, or indirectly through economic growth from exports.

A flexible decision technology called the Graph Model for Conflict Resolution (GMCR) is applied to a generic aquaculture conflict to illustrate how GMCR can be used to systematically investigate a wide range of conflicts arising in aquaculture in order to obtain meaningful strategic insights and thereby assist in making informed decisions in aquaculture development. To emphasize the importance of being able to resolve aquaculture controversies, a review of the global economic impacts of the aquaculture industry is provided and the key stakeholders who may be involved in aquaculture disputes along with their legitimate interests are identified. The paper aims to discuss these issues.

The GMCR methodology comprises two main stages: modeling and analysis. During the modeling stage, key decision makers (DMs), the options under each DM’s control and each DM’s relative preferences over feasible states are identified based on a thorough background investigation to a given dispute. Within the analysis stage, solution concepts that describe key characteristics of human behavior under conflict are utilized to determine resolutions that could occur when DMs interact under pure competition and cooperatively. Interpretation of the equilibrium results provides meaningful strategic insights for better understanding which strategies a given DM could select as the conflict evolves over time.

The results demonstrate how difficult it can be to balance the interests of different key stakeholders in aquaculture development. In all possible resolutions identified in the generic aquaculture conflict, at least two DMs among First Nations, environmental group and residents (Res) would object to the expansion of aquaculture activities due to the assumption that the government would choose to appease one stakeholder at a time. They also reflect the need for a useful tool box of decision technologies for addressing the vast range of challenges that could arise in the important area of marine economics and management.

The GMCR methodology possesses several unique and key original capabilities in comparison to other conflict analysis models. First, it only requires limited information to calibrate a conflict model. Second, it contains a number of solution concepts that describe how a DM could think and behave under conflict. Third, it furnishes a range of informative output, follow-up analyses and advice for use in real-life decision support. Finally, all of the foregoing advantages of GMCR can be contained within decision support systems that permit practitioners and researchers to readily apply the GMCR methodology to real-life conflicts.

History has taught us that every aspect of the world around us is changing. Right from its formation, the earth has been evolving climatically, edaphically, and biotically to its present state. The forcing for all these changes in the past was natural, and human activities had least influence till the industrial revolution. Since the beginning of the 18th century, human activities associated with the industrial revolution have changed the composition of the atmosphere and thereby having a greater influence on the earth's climate. The use of fossil fuels like coal and oil coupled with deforestation has increased the concentration of heat-trapping “greenhouse gases,” which prevent the heat from the earth escaping to space. Because of this, the very greenhouse gases, which helped sustain life on the earth under normal circumstances, have become detrimental due to its higher concentration. Several models have predicted that the rising concentrations of greenhouse gases produce an increase in the average surface temperature of the earth over time. Rising temperatures may, in turn, produce changes in precipitation patterns, storm severity, and sea level, commonly referred to as “climate change.” The Intergovernmental Panel on Climate Change (IPCC) defines climate change broadly as “any change in climate over time whether due to natural variability or as a result of human activity.” The United Nations Framework Convention on Climate Change (UNFCCC) defines climate change as “a change of climate that is attributed directly or indirectly to human activity, that alters the composition of the global atmosphere, and that is in addition to natural climate variability over comparable time periods.”

This study aims to explore empirical evidence of the impact of greenhouse gas (GHG) emissions on stock market volatility.

Using panel data of 35 Organization for Economic Co-operation and Development countries from 1992 to 2018, we conduct both fixed effects panel model and Prais-Winsten model with panel-corrected standard errors.

The authors document that there is a significant positive relationship between GHG emissions and stock market volatility. The results remain robust after controlling for potential endogeneity problems.

This study contributes to the literature in that it provides additional empirical evidence for the financial risk posed by climate change.

In Thailand, as in many other developing countries, a significant and coherent policy response to the challenges posed by climate change is just beginning to emerge. The initial emphasis was on meeting international reporting obligations and building a better understanding of the issues (OEPP, 2000). Most climate policy attention has focused on mitigation, in particular of the difficulties, and occasionally taking advantage of the opportunities, in decoupling growth in greenhouse gas emissions from social and economic development. While early concerns were expressed about impacts on water resources and agriculture, not much attention has been given to implementing specific adaptation measures.