L. Lourdu Lincy’s research while affiliated with Bharathidasan University and other places

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Publications (4)


Genomic insights into fish pathogenic bacteria: A systems biology perspective for sustainable aquaculture
  • Literature Review

October 2024

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79 Reads

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4 Citations

Fish & Shellfish Immunology

R. Sasikumar

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L. Lourdu Lincy

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[...]

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Systems design and architecture of AcAS and its modules
Analog and digital input and output signals and their configurations
Communication signals and their configurations
Block-level design and its distributions
Industrial-grade probes used for online monitoring of pond water parameters

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Design, development, and deployment of a sensor-based aquaculture automation system
  • Article
  • Publisher preview available

March 2024

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45 Reads

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2 Citations

An aquaculture automation system (AcAS) is a user-friendly single-window unit. This allows end users to monitor and control the entire system easily through a built-in, customizable graphical user interface. AcAS was designed for simplicity, making it easy to configure and use. This system was integrated with highly efficient industrial-grade environmental sensors (pH, conductivity, oxidation-reduction potential, and dissolved oxygen) to ensure precise and error-free results in harsh environments. It can also store user and system data in an built-in memory device. It is equipped with built-in Wi-Fi, LoRa/ZigBee, and 4G/5G modules for data transfer, making it compatible with modern communication technologies. The program was programmed to be farmer-friendly and helped farmers maintain optimal shrimp growth conditions by monitoring various parameters. AcAS takes corrective measures as required, and provides updates to farmers through a graphical display unit. Farmers can also configure devices to receive alerts for important field parameters or alarm conditions. Therefore, AcAS enhances the efficiency and sustainability of aquaculture farming by enabling precise control of farming conditions and proactive management of aquaculture.

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Effect of incubation time on the cell density of aquaculture probiotic strains in basal media supplemented with various raw carbon sources
Effect of incubation time on the cell viability of aquaculture probiotic strains in basal media supplemented with various raw carbon sources
Effect of incubation time on the metabolic activity of aquaculture probiotic strains in basal media supplemented with various raw carbon sources
Effect of incubation time on the biomass production of aquaculture probiotic strains in basal media supplemented with fermented rice extract
Fermented rice extract as a carbon source for biomass production of aquaculture probiotics

March 2024

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162 Reads

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2 Citations

Traditional commercial media are costly and not ideal for large-scale probiotic production in aquaculture. Choosing the right carbon source for probiotic growth and understanding how biomass production works can offer valuable insights for potential use in aquaculture. In this study, we tested 12 starchy extracts as potential cost-effective alternatives to supplement the culture media for the production of biofloc-based probiotic isolates. We cultured probiotic strains obtained from shrimp biofloc farms and assessed their growth density and cell viability. We isolated and identified probiotic strains that were likely to be Lactobacillus sp., Bacillus sp., Pseudomonas sp., and Saccharomyces sp. Of all the starchy extracts tested, the fermented rice extract proved to be an effective carbon source for boosting cell density, viability, and metabolic activity. We also experimented with fermented rice extracts in a lab-scale bioreactor for biomass production of these isolates. In this experiment, all the strains showed an increase in cell density over time. Pseudomonas sp. exhibited the fastest growth rate, followed by Saccharomyces sp., Lactobacillus sp., and Bacillus sp. The results of this study revealed that newly formulated culture medium not only reduced production costs but also boosted biomass production and cell viability of these isolates. This straightforward and practical process improves the biomass yield and probiotic effectiveness, which could potentially benefit the aquaculture industry.

Citations (3)


... To effectively manage quatic pathogens, it is vitally important that we understand the occurrence and distribution of their ARGs. The majority of bacterial infections affecting aquatic animals are attributed to Vibrio spp., Aeromonas spp., Streptococcus spp., Edwardsiella piscicida, Photobacterium damselae, and Yersinia ruckeri [52]. After filtering for "isolation source," we were able to analyze a total of 3699 isolates of the aforementioned fish and shrimp pathogens for genotypic resistance determinants. ...

Reference:

Global distribution of antimicrobial resistance genes in aquaculture
Genomic insights into fish pathogenic bacteria: A systems biology perspective for sustainable aquaculture
  • Citing Article
  • October 2024

Fish & Shellfish Immunology

... Deb et al. primarily address the topic of water quality control inside biofloc systems [13]. Sasikumar, R., et al. measured the pH and oxygen quality of pond water in a biofloc system [14]. Podder, Saurov, et al. focus on temperature, dissolved oxygen, pH, water level, and turbidity. ...

Field trial evaluation of sensor-based aquaculture automation for improved biofloc shrimp culture
  • Citing Article
  • July 2024

Journal of Water Process Engineering

... Integration of control systems, effective automation integrates various control systems, including feeding, water quality management and environmental control, to create a cohesive and responsive operation. Artificial intelligence (AI) decision-making, AI algorithms analyze the collected data to make informed decisions, optimizing resource allocation and farm management (Sasikumar et al., 2024). Resource optimization and automation seek to optimize resource utilization, reducing waste and ensuring the efficient use of energy, water and feed. ...

Design, development, and deployment of a sensor-based aquaculture automation system