Food quality 4.0: From traditional approaches to digitalized automated analysis

A Hassoun, S Jagtap, G Garcia-Garcia… - Journal of Food …, 2023 - Elsevier
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …

Harnessing genomics to fast-track genetic improvement in aquaculture

RD Houston, TP Bean, DJ Macqueen… - Nature Reviews …, 2020 - nature.com
Aquaculture is the fastest-growing farmed food sector and will soon become the primary
source of fish and shellfish for human diets. In contrast to crop and livestock production …

Environmental enrichment in fish aquaculture: A review of fundamental and practical aspects

P Arechavala‐Lopez, MJ Cabrera‐Álvarez… - Reviews in …, 2022 - Wiley Online Library
Environmental enrichment (EE) can improve the welfare of captive fish. Its objective is to
provide new sensorial and motor stimulation in order to help meet their behavioural …

[HTML][HTML] Applications of data mining and machine learning framework in aquaculture and fisheries: A review

J Gladju, BS Kamalam, A Kanagaraj - Smart Agricultural Technology, 2022 - Elsevier
Aquaculture and fisheries sectors are finding ingenious ways to grow and meet the soaring
human demand for nutrient-rich fish and seafood by efficiently utilizing the vast water …

Computer vision models in intelligent aquaculture with emphasis on fish detection and behavior analysis: a review

L Yang, Y Liu, H Yu, X Fang, L Song, D Li… - … Methods in Engineering, 2021 - Springer
Intelligence technologies play an important role in increasing product quality and production
efficiency in digital aquaculture. Automatic fish detection will contribute to achieving …

Deep learning for smart fish farming: applications, opportunities and challenges

X Yang, S Zhang, J Liu, Q Gao, S Dong… - Reviews in …, 2021 - Wiley Online Library
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 …

Intelligent fish farm—the future of aquaculture

C Wang, Z Li, T Wang, X Xu, X Zhang, D Li - Aquaculture International, 2021 - Springer
With the continuous expansion of aquaculture scale and density, contemporary aquaculture
methods have been forced to overproduce resulting in the accelerated imbalance rate of …

Recent advances of deep learning algorithms for aquacultural machine vision systems with emphasis on fish

D Li, L Du - Artificial Intelligence Review, 2022 - Springer
Monitoring the growth conditions and behavior of fish will enable scientific management,
reduce the threat of losses caused by disease and stress. Traditional monitoring methods …

Nonintrusive methods for biomass estimation in aquaculture with emphasis on fish: a review

D Li, Y Hao, Y Duan - Reviews in Aquaculture, 2020 - Wiley Online Library
Fish biomass estimation is one of the most common and important practices in aquaculture.
The regular acquisition of fish biomass information has been identified as an urgent need for …

Emerging indicators of fish welfare in aquaculture

MO Barreto, S Rey Planellas, Y Yang… - Reviews in …, 2022 - Wiley Online Library
As aquaculture continues to grow and intensify, there is an increasing public concern over
the welfare of farmed fish. Stress and production‐related pathologies and repressed growth …