Over the last few decades, aquaculture has undergone a dramatic expansion in production, becoming a key source of food for people in many countries. Indeed, aquaculture has become extremely important for food security. However, the rapid expansion has led to many concerns, such as the effects of water shortages, pollution, disease and the depletion of natural fish stocks used as protein and fat sources for aquaculture diets. Against this backdrop, there has been a growing awareness of the need for sustainability to ensure the long-term future of aquaculture. Thus, there have been tremendous efforts made to incorporate the latest procedures to ensure sustainability. For example, the industry has not been slow to address the benefits of polyculture, offshore rather than coastal sites for mariculture, the use of aquaponics and land-based recirculation systems, and improved disease management, including mitigation against the adverse effects of pollution, such as the use of biofloc technology. The therapeutic approach to disease control has moved towards prophylaxis, notably immunoprophylaxis and the use of probiotics and phytobiotics. Unfortunately, there are challenges resulting from the effects of environmental change, i.e. global warming. Some solutions have been found by use of new technologies, including nanotechnology. All these aspects are considered in this review.
Abstract This chapter presents the advanced manufacturing processes and big data-driven algorithms and platforms leveraged by the Boost 4.0 big data lighthouse project that allows improved digital operations within increasingly automated and intelligent shopfloors. The chapter illustrates how three different companies have been able to implement three distinct, open, yet sovereign cross-factory data spaces under a unified framework: the Boost 4.0 big data reference architecture and Digital Factory Alliance (DFA) service development framework.
Skills and competences required by the labor market evolve at a high rate. In addition, manufacturing enterprises face a number of technical and non-technical challenges in their daily business, and most of them are relatively slow as it regards innovation adoption. Academia needs to be able to closely follow industrial needs, to generate the right kind of professionals. In addition, academia owns a lot of high-value specialized industrial equipment, which is not shared and subsequently often underutilized. Over and above, COVID-19 has significantly impacted the educational institutes' operation. All aforementioned facts point to one specific need;an effective remote collaboration paradigm aiming at knowledge exchange. The Teaching Factory paradigm provides a real-life environment for students to develop their skills and competences, through directly involving them with real-life industrial challenges. Through the use of modern digital technologies and tools, and in combination with the relevant educational approach, a two-way online knowledge communication between academia and industry is formed, aiming to mutually benefit both stakeholders. This work focuses on presenting a framework for successfully extending the established Teaching Factory paradigm on a network level, taking advantage of the unique characteristics of all aforementioned actors and connecting them together to the ecosystem benefit, forming a Teaching Factory Knowledge Exchange Network. The educational approach and required ICT infrastructure for the facilitation of knowledge exchange are presented. The proposed framework and tools applicability are validated in two heterogeneous pilot applications, using different modalities of the proposed framework, involving a collaborative academic teaching scheme via virtually interconnected classrooms and labs, as well as a collaboratively solving an industrial challenge linked with digital work instructions in manual assembly.
