[HTML][HTML] A deep learning model for estimating body weight of live pacific white shrimp in a clay pond shrimp aquaculture

N Chirdchoo, S Mukviboonchai, W Cheunta - Intelligent Systems with …, 2024 - Elsevier
This paper presents a novel approach to address the essential challenge of accurately
determining the total weight of shrimp within aquaculture ponds. Precise weight estimation is …

Underwater image processing based on CNN applications: A review

A Noor, NI Ruhaiyem - Proceedings of the Cognitive Models and Artificial …, 2024 - dl.acm.org
In recent years, due to the natural resources contained in the vast underwater world and the
diversity of organisms present in it, including microscopic organisms, coral reefs, seaweed …

Shrimp phenotypic data extraction and growth abnormality identification method based on instance segmentation

X Ran, Y Liu, HY Pan, J Wang, Q Duan - Computers and Electronics in …, 2025 - Elsevier
Shrimp phenotypic characteristics encompass externally or partially internally observable
traits like body length, width, color, and morphology. These traits are vital for assessing …

Anomalous white shrimp detection in intensive farming based on improved YOLOv8

X Ran, B Li, Y Zhang, M Kong, Q Duan - Aquacultural Engineering, 2024 - Elsevier
Timely detection of anomalous shrimp is crucial for ensuring farming safety. Therefore, this
study developed an effective model to detect abnormal shrimp behaviors, including curling …

Counting and measuring the size and stomach fullness levels for an intelligent shrimp farming system

YK Lee, BY Lin, TH Weng, CK Huang, C Liu… - Connection …, 2023 - Taylor & Francis
The penaeid shrimp farming industry is experiencing rapid growth. To reduce costs and
labour, automation techniques such as counting and size estimation are increasingly being …

HTBPPS: A high-throughput behavioral phenotyping platform for shrimp

W Cheng, H Peng, C Chen, H Zhang, Y Wei, J Yang… - Aquaculture, 2025 - Elsevier
In shrimp breeding, phenotypic measurement is crucial for identifying key traits. Meanwhile,
behavioral traits typically exhibiting moderate to high heritability are gaining recognition as …

CPSM: A Dynamic Simulation Model for Cucumber Productivity in Solar Greenhouse Based on the Principle of Effective Accumulated Temperature

C Cheng, C Dong, X Guan, X Chen, L Wu, Y Zhu… - Agronomy, 2024 - mdpi.com
The Cucumber Productivity Simulation Model (CPSM) was developed to precisely predict
the dynamic process of cucumber productivity in a solar greenhouse. This research …

Seaweed growth monitoring with a low-cost vision-based system

J Gerlo, DG Kooijman, IW Wieling, R Heirmans… - Sensors, 2023 - mdpi.com
In this paper, we introduce a method for automated seaweed growth monitoring by
combining a low-cost RGB and stereo vision camera. While current vision-based seaweed …

[HTML][HTML] Can automatic measuring replace humans when evaluating a shrimp fishery?

B Herrmann, ER Øye, JS Dyrstad… - Regional Studies in Marine …, 2024 - Elsevier
Size measurements of fish and crustacean species play a critical role in fishery stock
assessments, fishing gear size selectivity studies, and monitoring compliance with fisheries …

Visual-and-Language multimodal fusion for sweeping robot navigation based on CNN and GRU

Y Zhang, K Wilker - Journal of Organizational and End User …, 2024 - igi-global.com
Effectively fusing information between the visual and language modalities remains a
significant challenge. To achieve deep integration of natural language and visual …