Deep sea fishing is always challenging. Without experience and proper knowledge, many fishermen might toil the whole day without success. TARU can predict best fishing locations for commercial deep sea fishermen based on weather, solunar (Solar and Lunar) data, satellite images, and sea temperature. An intelligent web service will inform the locations based on SST (Sea Surface Temperature), sea current, and color of the water (Based on the Chlorophyll data). TARU is ideal for commercial fishermen to plan their voyage and find the temperature breaks and swell breaks using the latest satellite imaging technologies and meteorological data sets. Fishermen those who registered to this valuable service will get their notifications real-time. So that they can plot their course effectively. This will help to decrease the overall fuel consumption in commercial fishing endeavors.
Mostly fishes like to stay in their comfortable sea temperature zones. They usually swim across the temperature breaks to find their comfy zones. These breaks, therefore, will make very good areas for small fishes as well as big game fishes. Apart from that using clear satellite images as well as Chlorophyll datasets published by IMOS, we can define the areas where Chlorophyll are. These green patches are also proved to be very attractive areas for small fishes as well as big game fishes.
Not only the sea surface temperature, the direction of the wind also very important factor when fishing. According to most experienced fishermen, fishes usually bite when the wind is westerly and southerly along the warm current in the temperature breaks. It means there is a very high chance of taking bites by the fishes like tuna, marlin or mahi-mahi when the winds are coming from the west, south-west, south. But very less chance when the wind is directed from North.
This software will process the SST breaks (Warm Streams), wind direction, wind speed and many other fishing factors used in offshore fishing.
Real-time SST, wind direction, current data retrieved from BOM (bom.gov.au) for highest accuracy and predictions happen through data classification through decision trees and AI algorithms.
Chlorophyll data set retrieved from IMOS and AODN (Australian Ocean Data Network - Open Access to Ocean Data) portal
Evidence of Work
Description of Use: Chlorophyll data is important because there is a high chance of small fishes looking for food along these green patches. It means there is always high predictability of catching bigger fishes
SST (Sea Surface Tempurature)
Description of Use: We need to inform SST breakpoints along with wind direction because there is a high chance of catching big game pelagic fishes like tuna, sailfish, mahi-mahi, etc... in warmer currents with correct wind direction (Westerly or Southernly)
costal water forecast
Most Commercial Potential
Exploring the Oceans