Title : Automatic Detection of Feeding Activity in Whiteleg Shrimp (Litopenaeus vannamei) using Acoustic Signals
Abstract:
This Study aims to apply Artificial Intelligence and , and NISAR Satellite Data to study Aquatic toxicology, Ocean Energy, Air-Sea CO2 exchange, land, Ocean and cryosphere interaction comprising the study of ice-covered surfaces, islands, sea ice and selected oceans every 12 days by using recently launched NISAR (NASA-ISRO) Satellite. The NISAR was launched on 30July’25 by ISRO- GSLV (Geostationary Satellite Launch Vehicle). an expendable three-stage rocket that stands 169.6 feet (51.7 meters) tall.
Next, to correlate these investigations with Climate Variability, and develop physicochemical and Spectroscopic methods, to control Aquatic pollution by developing innovative technologies to harness Ocean Energy evolving methods and materials, to generate nontoxic cleaning products. The oxidation process would be employed to treat Groundwater contaminants by making use of the chemical oxidants viz. hydrogen peroxide, persulfate, permanganate and ozone. These oxidants have been able to cause the rapid and complete chemical destruction of many toxic organic chemicals; amenable to partial degradation by subsequent bioremediation through chemical oxidation applied in subsurface systems and in above-ground water treatment systems involving chemical oxidation regeneration of Granular Activated Carbon (GAC).
Also, it aims to use Artificial Intelligence to study deep sea morphology and Remote sensing technology(NISAR-Satellite) to understand air-sea exchange during extreme atmospheric forcing, biophysical interactions on Air-Sea CO2 exchange with Climate Variability, for estimating energy and material (e.g., carbon, nitrogen) exchange between the upper and deep ocean and to understand spatial and temporal non-homogeneity in deep-ocean mixing; distribution of deep-ocean mixing intensity, and the physics that drives that distribution & the energetics of the ocean and reducing the uncertainties in global circulation and climate models. Also, the (AI) and the Remote Sensing would be employed to understand the impacts of Ocean Systems Interactions, Risks, Instabilities, and Synergies (OSIRIS), ocean-cryosphere interactions and sea-based pollutants on the ocean ecosystem through correlational studies with Climate variability to develop ‘Aquatic Pollution Technologies’(PART).
Keywords: Artificial Intelligence, NISAR Satellite, Aquatic toxicology, Ocean Energy, AirSea CO2 exchange, land, Ocean and cryosphere, OSIRIS, oceans energy, and PART.
