Among the background of developments in automation and intelligence, machine learning
technology has been extensively applied in aquaculture in recent years, providing a new …

The rapid emergence of deep learning (DL) technology has resulted in its successful use in
various fields, including aquaculture. DL creates both new opportunities and a series of …

Technology that is developed for or adopted by the recreational fisheries sector (eg, anglers
and the recreational fishing industry) has led to rapid and dramatic changes in how …

Marine recreational fisheries (MRF) have important social and economic benefits, but can
impact fish stocks and the environment. The diverse and dispersed nature of these fisheries …

The socio-cultural, economic, and environmental conditions of the world are changing
rapidly and recreational fisheries will have to adapt to the uncertain future. Key research …

The COVID-19 global pandemic and subsequent implementation of measures to reduce
contact within the community have affected fisheries worldwide, yet few studies have …

This chapter details the governance and management of estuarine fish ecology, habitats
and fisheries, whereby the governance in turn covers the policies, administrative bodies and …

Recreational fishing (RF) is a popular pastime resulting in substantial fish mortality in many
regions. Yet inclusion of RF in fishery harvest strategies is limited, because the sector's …

Small scale and recreational fisheries often lack quantitative monitoring, highlighting
potential for other reproducible ways of understanding state. The Fisher's Local Ecological …

Understanding fishing participation assists sustainable fisheries management. Relative to
commercial fisheries, however, accurate quantitative data on recreational fishing is often …