An image processing method for recognition of four aquatic macroinvertebrates genera in freshwater environments in the Andean region of Colombia

Serna, Juan Pablo; Cann, David Stephen Fernández Mc; Vélez, Fabio; Ramírez, Néstor Jaime Aguirre

doi:10.1007/s10661-020-08545-2

Cited by 3 publications

(1 citation statement)

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“…In the study, a variety of community responses were observed, depending on the type of stream and the intensity of hydrological alteration (Serna López et al, 2020). During the dry and rainy periods, the food webs had a smaller number of organisms, which can be seen in the modularity and compartmentalization of the webs.…”

Section: Discussionmentioning

confidence: 99%

Altitudinal distribution of the functional feeding groups of aquatic macroinvertebrates using an ecological network in Andean streams

et al. 2022

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Introduction: Analysis of functional feeding groups (FFG) in aquatic macroinvertebrates is important in understanding the structure, function, and dynamics of ecological processes ecosystems. Modularity refers to the degree of compartmentalization of food webs and varies between -1 and 1. A network with a modularity value close to 1 is resilient to disturbances and can be interpreted as an indicating factor for the stability of communities. Objective: In this study, we analyzed the trophic structure of benthic macroinvertebrates in La Nitrera stream, the San Juan River, and the Cauca River. Methods: The study was supported by ecological networking techniques using Gephi software. We studied nine sites in dry, rainy, and transition seasons in 2017 and 2018, monitoring changes in the altitude gradient. At each of the sites, the organisms were captured and determined, and physicochemical and hydraulic information was obtained. Results: The variance component analysis allowed to explain the variability of the data by relating the following environmental variables: FFG, diversity, richness, modularity, season, and time. Simple multifactorial ANOVA indicated that significant changes in FFG were associated with altitude, and modularity to time. The allocation of the FFG was done by stomach analysis and secondary information. Conclusion: The transition season had the highest modularity, possibly due to the recolonization of some biotopes caused by the decrease in riverbed velocity. La Nitrera and San Juan presented higher values than the Cauca, which may indicate that the altitudinal change and velocity of water currents affects the compartmentalization of the network.

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confidence: 99%

Altitudinal distribution of the functional feeding groups of aquatic macroinvertebrates using an ecological network in Andean streams

et al. 2022

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Automated software for counting and measuring Hyalella genus using artificial intelligence

Pineda-Alarcón,

Zuluaga,

Ruíz

et al. 2023

Environ Sci Pollut Res

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Amphipods belonging to the Hyalella genus are macroinvertebrates that inhabit aquatic environments. They are of particular interest in areas such as limnology and ecotoxicology, where data on the number of Hyalella individuals and their allometric measurements are used to assess the environmental dynamics of aquatic ecosystems. In this study, we introduce HyACS, a software tool that uses a model developed with the YOLOv3’s architecture to detect individuals, and digital image processing techniques to extract morphological metrics of the Hyalella genus. The software detects body metrics of length, arc length, maximum width, eccentricity, perimeter, and area of Hyalella individuals, using basic imaging capture equipment. The performance metrics indicate that the model developed can achieve high prediction levels, with an accuracy above 90% for the correct identification of individuals. It can perform up to four times faster than traditional visual counting methods and provide precise morphological measurements of Hyalella individuals, which may improve further studies of the species populations and enhance their use as bioindicators of water quality.

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Reliable Object Recognition Using Deep Transfer Learning for Marine Transportation Systems With Underwater Surveillance

Moghimi

Mohanna

2022

IEEE Trans. Intell. Transport. Syst.

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An image processing method for recognition of four aquatic macroinvertebrates genera in freshwater environments in the Andean region of Colombia

Cited by 3 publications

References 18 publications

Altitudinal distribution of the functional feeding groups of aquatic macroinvertebrates using an ecological network in Andean streams

Altitudinal distribution of the functional feeding groups of aquatic macroinvertebrates using an ecological network in Andean streams

Automated software for counting and measuring Hyalella genus using artificial intelligence

Reliable Object Recognition Using Deep Transfer Learning for Marine Transportation Systems With Underwater Surveillance

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