Greenhouse gas emissions due to national product consumption: from demand and research gaps to addressing key challenges

Windsperger, Bernhard; Windsperger, Andreas; Bird, David Neil; Schwaiger, H.; Jungmeier, Gerfried; Nathani, Carsten; Frischknecht, Rolf

doi:10.1007/s13762-018-1743-6

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…Smart sensors are implemented which are controlled by applying multiple IoT techniques to avoid from excessive use of water. In greenhouses water management is carried out by using automatic drip irrigation which works by following soil mositure threshhold that is set accordingly [81].…”

Section: A: Water Managementmentioning

confidence: 99%

“…There are many parameters which are combined to maintain and create an ideal environment for plants within strict limits such as, the maintenance of ventilation, temperature, carbon dioxide, and oxygen level. This can be made possible by deploying IoT enabled greenhouse where smart devices and sensors share their information for strong decision making [81].…”

Section: C: Climate Monitoringmentioning

confidence: 99%

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A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

et al. 2019

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Internet of things (IoT) is a promising technology which provides efficient and reliable solutions towards the modernization of several domains. IoT based solutions are being developed to automatically maintain and monitor agricultural farms with minimal human involvement. The article presents many aspects of technologies involved in the domain of IoT in agriculture. It explains the major components of IoT based smart farming. A rigorous discussion on network technologies used in IoT based agriculture has been presented, that involves network architecture and layers, network topologies used, and protocols. Furthermore, the connection of IoT based agriculture systems with relevant technologies including cloud computing, big data storage and analytics has also been presented. In addition, security issues in IoT agriculture have been highlighted. A list of smart phone based and sensor based applications developed for different aspects of farm management has also been presented. Lastly, the regulations and policies made by several countries to standardize IoT based agriculture have been presented along with few available success stories. In the end, some open research issues and challenges in IoT agriculture field have been presented.

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Section: A: Water Managementmentioning

confidence: 99%

Section: C: Climate Monitoringmentioning

confidence: 99%

A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

et al. 2019

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“…This calls for a distinction in carrying out a systematic literature review on the net-zero economy in the supply chain. Since earlier literature reviews and conceptual papers addressed topics like net-zero carbon cities (Seto et al, 2021), circular economy of rare earth elements (Dang et al, 2021), zero-emission transport (Ku et al, 2021), salvage harvesting (Mansuy et al, 2018) and greenhouse gas emission (Windsperger et al, 2019) assessing net-zero goal literature review from supply chain perspective seems appropriate to develop a comprehensive understanding of this topic. The net-zero economy literature is widespread yet emerging (Wickham et al, 2022); a systematic literature survey is needed to classify the literature to unleash its potential that serves as a roadmap for conducting rigorous research on supply chain aspects of the net zero.…”

Section: Net-zero Economy In Supply Chain Managementmentioning

confidence: 99%

Net-zero economy research in the field of supply chain management: a systematic literature review and future research agenda

Mishra

Singh

Govindan

2022

IJLM

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PurposeThe purpose of this study is to systematically review the state-of-art literature on the net-zero economy in the field of supply chain management.Design/methodology/approachA systematic literature review of 79 articles published from 2009 to 2021 has been conducted to minimise the researchers' bias and maximise the reliability and replicability of the study.FindingsThe thematic analysis reveals that studies in the field of net-zero economy have mostly been done on decarbonisation in the supply chain, emission control and life cycle analysis and environmental and energy management. The findings highlight the strong positive association between digitalisation, circular economy and resources optimization practices with net-zero economy goals. The study also addresses the challenges linked with the net-zero economy at the firm and country levels.Research limitations/implicationsPractitioners in companies and academics might find this review valuable as this study reviews, classifies and analyses the studies, outlines the evolution of literature and offers directions for future studies using the theory, methodology and context (TMC) framework.Originality/valueThis is the first study that uses a structured approach to analyse studies done in the net-zero field by assessing publications from 2009 to 2021.

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“…Many of the right things are put together to maintain and establish a good plant environment while living under stringent limits like airflow, temperature, CO2, and O2 levels. With the use of IoT-enabled systems, where for advanced decisions data can be exchanged between intelligent sensors and devices, this can be achieved [288].…”

Section: Challenges In Smart Agriculturementioning

confidence: 99%

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

Kumar

Singh

2022

AIS

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With the commencement of new technologies like IoT and the Cloud, the sources of data generation have increased exponentially. The use and processing of this generated data have motivated and given birth to many other domains. The concept of a smart city has also evolved from making use of this data in decision-making in the various aspects of daily life and also improvement in the traditional systems. In smart cities, various technologies work collaboratively; they include devices used for data collection, processing, storing, retrieval, analysis, and decision making. Big data storage, retrieval, and analysis play a vital role in smart city applications. Traditional data processing approaches face many challenges when dealing with such voluminous and high-speed generated data, such as semi-structured or unstructured data, data privacy, security, real-time responses, and so on. Probabilistic Data Structures (PDS) has been evolved as a potential solution for many applications in smart cities to complete this tedious task of handling big data with real-time response. PDS has been used in many smart city domains, including healthcare, transportation, the environment, energy, and industry. The goal of this paper is to provide a comprehensive review of PDS and its applications in the domains of smart cities. The prominent domain of the smart city has been explored in detail; origin, current research status, challenges, and existing application of PDS along with research gaps and future directions. The foremost aim of this paper is to provide a detailed survey of PDS in smart cities; for readers and researchers who want to explore this field; along with the research opportunities in the domains.

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Greenhouse gas emissions due to national product consumption: from demand and research gaps to addressing key challenges

Cited by 12 publications

References 18 publications

A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

A Survey on the Role of IoT in Agriculture for the Implementation of Smart Farming

Net-zero economy research in the field of supply chain management: a systematic literature review and future research agenda

Probabilistic data structures in smart city: Survey, applications, challenges, and research directions

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