On Farm Implementation Of Transformative Technologies And Practices For Sustainability Transitions In Agriculture


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On-Farm Implementation of Transformative Technologies and Practices for Sustainability Transitions in Agriculture


On-Farm Implementation of Transformative Technologies and Practices for Sustainability Transitions in Agriculture

Author: Callum Eastwood

language: en

Publisher: Frontiers Media SA

Release Date: 2025-05-21


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There is increased pressure on agri-food sectors globally to transition to more sustainable food systems. This is a response to ongoing challenges associated with environmental impacts, food security, workplace attractiveness, changing knowledge and advisory systems, farmer well-being, and technological change. Transformative technology and practices advocated by scholars and policy makers include digitalization and automation, agroecological systems, diversification, de-intensification, local food systems, circularity, transformative value chains and land-use change. These changed practices ultimately need to be implemented at a farm scale, but the implications will ripple through regional and global food systems. The potential role of transformative agricultural technologies and practices in sustainability transitions is widely researched. However, greater focus is required on the ‘real-world’ implications at a farm-system level, and the positive and negative effects of change in the livelihoods of those being urged to change (i.e. farmers, farm businesses and supply chains). At the farm level, transformation can be a complex process that intersects land, livelihoods, and security of the wider food supply system. As a consequence, theoretical concepts of transformation to achieve more sustainable food systems can be difficult to implement for farmers due to unforeseen interactions and implications. Better understanding of these experiences is needed for effective and viable transformation options to progress environmental, social and economic sustainability.

Agroecological Transitions: From Theory to Practice in Local Participatory Design


Agroecological Transitions: From Theory to Practice in Local Participatory Design

Author: Jacques-Eric Bergez

language: en

Publisher: Springer

Release Date: 2019-02-28


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This Open Access book presents feedback from the ‘Territorial Agroecological Transition in Action’- TATA-BOX research project, which was devoted to these specific issues. The multidisciplinary and multi-organisation research team steered a four-year action-research process in two territories of France. It also presents: i) the key dimensions to be considered when dealing with agroecological transition: diversity of agriculture models, management of uncertainties, polycentric governance, autonomies, and role of actors’ networks; ii) an operational and original participatory process and associated boundary tools to support local stakeholders in shifting from a shared diagnosis to a shared action plan for transition, and in so doing developing mutual understanding and involvement; iii) an analysis of the main effects of the methodology on research organisation and on stakeholders’ development and application; iv) critical analysis and foresights on the main outcomes of TATA-BOX, provided by external researchers.

Deep Learning and Blockchain Technology for Smart and Sustainable Cities


Deep Learning and Blockchain Technology for Smart and Sustainable Cities

Author: Subramaniyaswamy V

language: en

Publisher: CRC Press

Release Date: 2025-05-22


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In this digital era, a smart city can become an intelligent society by using advances in emerging technologies. Specifically, the rapid adoption of deep learning (DL) in fusion with blockchain technology has led to a new digital smart city ecosystem. A broad spectrum of DL and blockchain applications promises solutions for problems in areas ranging from risk management and financial services to cryptocurrency to public and social services. Furthermore, the convergence of artificial intelligence and blockchain technology is revolutionizing the smart city network architecture to build sustainable ecosystems. However, these advances in technology bring both opportunities and challenges in creating sustainable smart cities. To help planners and developers to meet these challenges and exploit these opportunities, Deep Learning and Blockchain Technology for Smart and Sustainable Cities takes a deep dive into the technologies and applications that enable smart and sustainable cities. It provides a comprehensive literature review of the security issues and problems that impact the deployment of blockchain systems in smart cities. It presents a detailed discussion of key factors in the convergence of blockchain and DL technologies that help form sustainable smart societies. This book also discusses blockchain security enhancement solutions and summarizes main key points necessary for developing various blockchain and DL‐based intelligent transportation systems. This book concludes with a discussion of open issues and future research direction.These include new security suggestions and guidelines for a sustainable smart city ecosystem. Also discussed is 6G‐enabled DL and blockchain in real‐time applications.