This chapter reviews advances made in the study of the structure and dynamics of scallop
populations and in the development of new approaches for the assessment and …

Abstract King Scallop (Pecten maximus) is the third most valuable species landed by UK
fishing vessels. This research assesses the potential to use a Convolutional Neural Network …

The article presents an algorithmic framework for the automated analysis of benthic imagery
data. The data are collected by an autonomous underwater vehicle for the purpose of …

Automating the counting of marine animals like scallops benefits marine population survey
efforts. These surveys are tools for policy makers to regulate fishing activities, and sources of …

扇贝苗底播前的关键环节是规格识别与计数, 而目前底播前贝苗的规格识别与计数作业仍以人工
为主, 部分机械装置操作要求较高. 该研究在筛网式扇贝苗分级计数装置的基础上 …

By analyzing and investigating the system of random sampling for bottom sowing offspring
seed of patinopecten yessoensis in Dalian Zhangzidao, a new type of high-efficiency and …

A large volume of image data, in the order of thousands to millions of images, can be
generated by robotic marine surveys aimed at assessment of organism populations. Manual …

Using underwater robotic platforms to perform optical imaging surveys offers high data
densities for habitat assessment surveys. Though the large volume of image data (in the …

Autonomous robotic systems can operate in an unsupervised manner over remote or
potentially dangerous domains. Object recognition is an important trait required for a robotic …

This thesis discusses research into the various factors associated with the detection,
classification and tracking of commercial scallops in underwater video (from a moving …