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This paper aims to examine whether the disclosure obligations in areas of water stress required under the revised Global Reporting Initiative standard (GRI) 303 Water and Effluents, 2018 will improve the quality of corporate water reporting. As a key new requirement is to disclose the impact of water withdrawals from (and discharges to) areas experiencing water stress, the authors examine the ambiguity of the term “water stress” and the extent to which following the GRI’s guidance to use the Aqueduct Water Risk Atlas and/or the Water Risk Filter will enable quality corporate water reporting.

The study is informed by the notion of public interest reporting, on the basis that the provision of contextual water information is in the public interest. To explore the ambiguity of the term “water stress”, the authors conduct a semi-systematic review of hydrology literature on water stress and water stress indices. To explore the efficacy of using the Aqueduct Water Risk Atlas and/or the Water Risk Filter, the authors review the operation and underlying data sources of both databases.

The term “water stress” has a range of definitions and the indicators of water stress encompass a wide variety of differing factors. The Aqueduct Water Risk Atlas and the Water Risk Filter use a combination of different risk indicators and are based on source data of varying quality and granularity. Further, different weightings of water risk information are available to the user, which yield different evaluations of water stress. A variety of approaches are permitted under GRI 303.

Effective implementation of GRI 303 may be impeded by the ambiguity of the term “water stress”, varying quality and availability of the water stress information and the fact that different water stress calculation options are offered by the water databases. The authors suggest that the GRI closely monitor compliance, implementation approaches and scientific developments in relation to the water stress requirements with a view to providing further guidance and improving future iterations of the standard.

Whilst there have been many calls for improved contextual water reporting, few previous studies have explored the challenges to implementing reporting requirements related to the determination of “water stress”.

This paper aims to develop a framework to assist the identification of robust adaptation options that account for uncertainty in future climate change impacts for the water sector.

The water evaluation and planning (WEAP) tool, is to identify future water resource vulnerability in the Glore sub‐catchment within the Moy catchment in the West of Ireland. Where water stress is evident, a detailed hydrological modelling approach is developed to enable an assessment of the robustness to uncertainty of future adaptation decisions. WEAP is coupled with a rainfall runoff model (hydrological simulation model), and forced using climate scenarios, statistically downscaled from three global climate models to account for the key sources of uncertainty. While hydrological models are widely applied, they are subject to uncertainties derived from model structure and the parameterisation of the catchment. Here, random sampling of key parameters is employed to incorporate uncertainty from the hydrological modelling process. Behavioural parameter sets are used to generate multiple future streamflow series to determine where the bounds within future hydrological regimes may lie and the ranges within which future adaptation policy pathways need to function.

This framework allows the identification of adaptation options that are robust to uncertainty in future simulations.

Future research will focus on the development of more site‐specific adaptation options including soft and hard adaptation strategies. This approach will be applied to multiple water resource regions within Ireland.

A robust adaptation assessment decreases the risk of expensive and/or mal‐adaptations in a critical sector for society, the economy and the aquatic environment.

The purpose of this paper is to explore the potential for a rainwater harvesting (RWH) strategy in Malta and tries to identify management practices required to implement it.

This qualitative study adopts the concept of sustainable development in its framework whilst incorporating the specific physical and climatic realities of Malta. After sifting through the relevant literature, semi-structured interviews were conducted with key experts from four governmental/non-governmental Maltese entities that deal with policy and managerial implementation for water resources.

The study identifies the major issues surrounding water scarcity, its use and misuse and the barriers currently hindering RWH implementation in Malta. The paper argues that the key lies in rethinking innovative ways to work with the natural features and to use technology to enhance possible net beneficial effects by giving multipurpose solutions, whilst touching base on the validity and use of indigenous knowledge systems. Hence, a gauged implementation of water catchment using micro and macro approaches could bring compounded beneficial effects.

Malta has the highest possible baseline water stress index, yet empirical research on RWH in Malta is relatively lacking. This study addresses this gap and provides suggestions/recommendations related to the adoption of effective management practices and reforms promoting RWH that could better guide Maltese and other environmental policy makers to add resilience for coping with future water-related risks/uncertainties and to avert the impending water crisis.

The purpose of this paper is to analyze the effects of public investment in agricultural R&D and extension on broadacre farming productivity in Australia.

An autoregressive integrated moving average (ARIMA) regression model is applied to estimate the effects of public investment in agricultural R&D and extension on Australian braodacre productivity.

The study reveals that public investment in agricultural R&D and extension has contributed almost two-thirds of average annual broadacre productivity growth between 1952-1953 and 2006-2007, the average internal rate of return to public investment in agricultural R&D and extension was 28.4 and 47.5 per cent a year, respectively, and overseas spill-ins is an important source of domestic agricultural productivity growth.

Policy implications: the findings suggest that increasing public investment in agricultural R&D and extension and maintaining agricultural R&D policy stability are equally important to have a sustained long-term agricultural productivity growth, and maintaining an open trade and investment regime is important to benefit from foreign knowledge spillovers which is especially important for developing countries.

This paper contributes to the existing literature by employing more sophisticated econometric techniques with an extended data set for the period from 1952-1953 to 2006-2007. The study separates the contribution of public R&D investment and the extension investment, and also takes into account the contribution of overseas public investment on the TFP growth in the Australian broadacre sector.

The purpose of this paper is to propose a novel resource availability assessment for supply chain (SC) configuration. This approach involves understanding both local resource availability and the demand-side implications of supplying global/regional markets as part of a more holistic SC design activity that incorporates local environmental factors.

The proposed framework was derived from literature analysis, bridging relevant literature domains – natural capital theory, industrial ecology and SC configuration – in order to develop design rules for future resource-constrained industrial systems. In order to test the proposed framework, an exploratory case study, based on secondary data, was conducted.

Research findings suggest that this approach might better identify relationships and vulnerabilities between natural resource availability and the viability of regional/global SCs. The research suggests that natural resource availability depends upon three elements – local resource consumption, global resource demand and external environmental factors.

The framework has two main limitations. The current work is focussed on a single industry case study used to exemplify the approach. Second, the framework does not consider other possible industries, which might enter or leave the specific location during the company’s operation. Furthermore, no assessment was made of the migration of populations within the area.

For practitioners, such as those in the agri-food sector, the resource availability assessment framework informs SC configuration design. For policymakers, the research aims to provide policy guidelines, which can help to improve water-saving strategies for a particular region. At a broader societal level, the research raises awareness of resource scarcity amongst industrial players and the wider public.

A resource availability assessment framework has been proposed, suggesting that the dynamics of both global and local resource demand, in conjunction with changing local environmental factors, can over time significantly deteriorate a firm’s natural resource impact on the local environment. Thus, the framework seeks to deliver mechanisms to evaluate potential vulnerabilities and solutions available to firms using a more proactive SC design method and to apply reconfiguration processes that account for natural resources, based primarily on network and resource attributes.

The purpose of this paper is to provide an overview of smart agriculture systems and monitor and identify the technologies which can be used for deriving traditional agriculture system to modern agriculture system. It also provides the reader a broad area to work for the advancement in the field of agriculture and also explains the use of advanced technologies such as spectral imaging, robotics and artificial intelligence (AI) in the field of agriculture.

Smart uses of modern technologies were reviewed in the field of agriculture, which helps to monitor stress levels of plants and perform operations according to requirements. Operations can be irrigation, pests spray, monitoring crops, monitoring yield production, etc. Based on the literature review, a smart agriculture system is suggested. The parameters studied were spectral image processing, AI, unmanned aerial vehicle (UAVs) (fixed and rotatory), water or soil moisture, nutrients and pesticides.

The use of autonomous vehicles and AI techniques has been suggested through which the agriculture system becomes much more efficient. The world will switch to the smart agriculture system in the upcoming era completely. The authors conclude that autonomous vehicle in the field of science is time-saving and health efficient for both plants and workers in the fields. The suggested system increases the productivity of crops and saves the assets as well.

This review paper discusses the various contemporary technologies used in the field of agriculture and it will help future researchers to build on this research. This paper reveals that the UAVs along with multispectral, hyperspectral or red, green and blue camera (depends on the need) and AI are more suitable for the advancement of agriculture and increasing yield rate.

The purpose of this paper is to present a proposal for formulating a national water demand management policy for Jordan. The objective is to stimulate discussion on the development and adoption of a formal policy document.

The paper reviews data on water availability and use in Jordan. This is followed by a discussion of a number of policy objectives and elements.

The paper results in the formulation of a policy that should be further reviewed and made official by the Ministry of Water and Irrigation in Jordan.

The paper is a new source of information on the necessary elements of water policy.

This systematic review of literature purposes to explore the impact of climate change on Mexico's water resources, exploring the impacts and efforts to address the problem as well as their effectiveness.

The researcher relied on several tools to obtain scholarly articles. The primary approach was using preferred reporting items for systematic reviews and meta-analyses. The Journal Impact Factor was an important consideration for the inclusion and exclusion criteria. The work also excluded all journals predating 2009. The work emphasized using journal articles. However, it consulted textbooks and documents from the government and water conservation sources. Contextually the sources with the highest Journal Impact Factor index were selected, paying heed to their relevance to the topic under investigation. Fifty sources out of seventy were included in the systematic review.

Mexico's already strained water resources have been negatively impacted by climate change, behooving the Mexican government to implement various mitigative strategies. However, scholars reported mixed results on the effectiveness of the various policies and programs implemented by the Mexican government. Key impediments to sustainable implementations entailed the political and social contexts surrounding the conservation policies in Mexico.

Numerous articles have explored the impact of climate change on Mexico's water resources, but many focus on a specific aspect. This work took a holistic approach, synthesizing multiple impacts and providing a sociological perspective on the effects, mitigation efforts, and implementation challenges.

The study aims to develop recommendations for optimal Internet of things (IoT) based solutions for a smart precision irrigation automation platform using morphological thinking (MT). The smart irrigation system (SIS) can be applied for green roof and green wall (GRGW) design by studying the relationships and configurations that will be analyzed, listed and synthesized, representing “solutions spaces” and their possibilities.

The research examines studying various cases of SIS; and assessing and analyzing the identified case studies through a decision support system (DSS) considering several factors regarding IoT, plant characteristics, monitoring, irrigation system and schedule, climate, cost and sensors used.

To develop recommendations for optimal IoT-based solutions for a smart precision irrigation automation platform.

The research paper analyzes and proposes a simultaneous solution to two conflicting problems. On the one hand, the paper proposes to apply greening of walls and roofs in hot arid regions, which will achieve greater environmental comfort. However, this is extremely difficult to implement in hot arid regions, since there is an objective problem – a lack of water. At the same time, the paper proposes the most rational approaches to organizing an irrigation system with the lowest water consumption and the highest efficiency for landscaping. Accordingly, this paper focuses on evaluating different types of SIS about the hot-arid climate in Qatar. The study aims to develop recommendations for optimal IoT-based solutions for a smart precision irrigation automation platform, which can be applied for green wall and roof design.

The purpose of this paper is to present a new low‐cost system based on a spherical robot for performing moisture monitoring in precision agriculture.

The work arose from the necessity of providing farmers with alternative methods for crop monitoring. Thus, after analysing the main requirements, a spherical robot was chosen as a tentative approach. The presented work summarizes the work carried out in selecting the basics to apply in the robot, as well as its mechanical and electronic design. After designing and constructing the robot, several tests have been performed, in order to validate the robot for performing monitoring task and moving on different types of soil.

The performed tests reveal that spherical robot is a suitable solution for performing the task.

Some improvements in control should be applied in order to reach a fully autonomous navigation in very slippery soils. Nevertheless, the performance of the robot in teleoperated mode allows validating of the system.

The robot turned out to be friendly and harmless in its use for this application. The cost of final series will be affordable in comparison with the cost of other methods. Endurance of the robot can be considered as fair.

The paper presents a new tool for farming based on non‐common robot.