Overview:
For fishermen, it’s not just about the catch. Every trip provides crucial data such as what was caught, where, and when. Analysing this data is like having a fish finder for success. They can optimise their methods, increase their income and improve sustainability. Identify productive fishing grounds, adjust techniques based on catch patterns, and minimise wasted effort. Increase their income: Target high-value species, avoid overfished areas, and negotiate better prices with informed data. Improve sustainability: Track catch size and trends, informing decisions that protect fish populations and ecosystems. To help the fishermen to reduce their time in the ocean for catching goods they might need more assistance in catching fish and getting direction on identifying potential fish schools. To develop such solutions this project aims at studying the fishing vessel trajectory and it also helps in search and rescue.
Project Description:
Devising solutions to collect fishing vessel trajectory and use this for analysis to identify patterns on vessel locations, fishing zones and so on. This data can also be utilised for various intelligence in deriving how productive their trip is. Project aims at developing deep learning models for trajectory analysis, trajectory segmentation, forecasting. The project also aims at giving directions and insights to fisherman and vessel owners to better plan their business. Project Description: Analysing fishing trips is a win-win. It empowers fishermen, informs responsible management, and paves the way for thriving fisheries and communities. So, the next time you see a fishing boat heading out, remember: it’s not just a trip, it’s a journey towards a data-driven future for all. For local governing bodies, fishing trip analysis is like a compass guiding responsible management. Real-time catch data informs local markets, leading to fairer prices for fishermen and improved seafood quality for consumers.
Proposed Future Work Details
Publication Details
