RT info:eu-repo/semantics/article
T1 Artificial Neural Network (ANN) as a tool to reduce human-animal interaction improves Senegalese sole production
A1 Martínez-Vázquez, Juan Manuel
A1 García Valcarce, David
A1 Fernández Riesco, Marta
A1 Sanz Marco, Vicent
A1 Matsuoka, Morito
A1 Robles Rodríguez, Vanesa
A2 Bioquimica y Biologia Molecular
K1 Biología
K1 Senegalese sole
K1 Production science
K1 Biomass
K1 Artificial neural network
K1 2415 Biología Molecular
K1 2401.19 Zoología Marina
AB [EN] Manipulation is usually required for biomass calculation and food estimation for optimal fish growth in production facilities. However, the advances in computer-based systems have opened a new range of applied possibilities. In this study we used image analysis and a neural network algorithm that allowed us to successfully provide highly accurate biomass data. This developed system allowed us to compare the effects of reduced levels of human-animal interaction on the culture of adult Senegalese sole (Solea senegalensis) in terms of body weight gain. For this purpose, 30 adult fish were split into two homogeneous groups formed by three replicates (n = 5) each: a control group (CTRL), which was standard manipulated and an experimental group (EXP), which was maintained under a lower human-animal interaction culture using our system for biomass calculation. Visible implant elastomer was, for the first time, applied as tagging technology for tracking soles during the experiment (four months). The experimental group achieved a statistically significant weight gain (p < 0.0100) while CTRL animals did not report a statistical before-after weight increase. Individual body weight increment was lower (p < 0.0100) in standard-handled animals. In conclusion, our experimental approach provides evidence that our developed system for biomass calculation, which implies lower human-animal interaction, improves biomass gain in Senegalese sole individuals in a short period of time.
PB MDPI
LK https://hdl.handle.net/10612/17468
UL https://hdl.handle.net/10612/17468
NO Martínez-Vázquez JM, Valcarce DG, Riesco MF, Marco VS, Matsuoka M, Robles V. (2019). Artificial Neural Network (ANN) as a Tool to Reduce Human-Animal Interaction Improves Senegalese Sole Production. Biomolecules. 9(12):778. https://doi.org/10.3390/biom9120778
NO El artículo pertenece al special issue Big Data Analysis in Biomolecular Research, Bioinformatics, and Systems Biology with Complex Networks and Multi-Label Machine Learning Models
DS BULERIA. Repositorio Institucional de la Universidad de León
RD 01-jun-2024