Title: Integrated Geo-Referenced Fish Catch Data Repository and
Access System
Introduction
The fishing industry plays a crucial role in the economy and food security of many nations.
However, challenges such as data inaccessibility, lack of real-time monitoring, and inefficient
resource allocation hinder its potential. The Integrated Geo-Referenced Fish Catch Data
Repository and Access System aims to address these challenges by providing a centralized
platform to store, analyze, and access fish catch data using geospatial references.
Problem Statement
Currently, there is a lack of an organized, real-time data repository for fish catch statistics.
This leads to:
• Inefficient Fisheries Management: Difficulty in tracking fishing patterns and
sustainability efforts.
• Limited Market insights: Fishermen and stakehold~rs struggle with demand-supply
predictions.
• Regulatory Challenges: Inability to monitor compliance with fishing regulations.
• Environmental Concerns: Overtishing and ecological damage due to a lack of
data-driven policies.
Proposed Solution
The Integrated Geo-Referenced Fish Catch Data Repository and Access System is a
digital platform that leverages cloud computing, GIS (Geographic Information System), and
AI-driven analytics to collect and disseminate fish catch data. Key features include:
1. Geo-Tagging ofFish Catch: K.eal-time recording of catch location, species, and
quantity.
2. Cloud-Based Data Repository: Centralized and secure database for storing fishing
data.
3. AI & ML Analytics: Predictive analytics for fish stock assessment and demand
forecasting.
4. Mobile & Web Access: Fishermen, regulatory bodies, and consumers can access data
via web and mobile applications.
5. Regulatory Compliance Dashboard: Government agencies can track fishing
activities and enforce policies effectively.

We claim AKSHAY D, BAND! SHANMUKHA MANIKANTA,JEBEZ OSWALD K.
1. A System for Gee-Referenced Fish Catch Data Collection, comprising:
o A mobile and web-based application for recording fish catch data, including
species, quantity, weight, and time of capture;
o A GPS-enabled tracking system that logs the precise location (latitude and
longitude) of each fishing event;
o A cloud-based repository for securely storing and managing catch data; and
o An AI-d riven analytics module for processing and analyzing the collected
data to generate insights on fish stock levels, fishing patterns, and regulatory
compliance.
2. The system of claim 1, wherein the data collection module is configured to work
both online and offline, allowing fishermen to log entries even in remote locations
Without mternet connectivity.
3. The system of claim 1, wherein the cloud-based repository employs end-to-end
encryption to ensure data security and prevent unauthorized access.
4. The system of claim 1, wherein the Al-driven analytics module applies machine
learning algorithms to predict fish stock depletion trends and optimize fishing efforts
based on historical and real-time data.
5. The system of claim 1, further comprising a regulatory compliance feature that
automatically cross-checks logged fishing activities against local and international
fishing laws and regulations.
6. A method for monitoring and managing fishery activities, comprising:
o Collecting fish catch data through an interactive mobile/web application;
o Capturing the gee-location of fishing activities in real time;
o Storing the collected data in a secure cloud repository;
o Processing the stored data using AI-d riven analytics to assess fishing
patterns and sustainability; and
o Providing real-time alerts and reports to fisheries authorities, traders, and
conservation organizations.
7. The method of claim 6, wherein the system generates automated sustainability
recommendations, helping authorities identify overfished areas and enforce
conservation measures.
8. The method of claim 6, wherein the system integrates with market price
forecasting tools, allowing fishermen and traders to optimize supply chain decisions
based on demand trends.
9. The method of claim 6, wherein the system facilitates data sharing with research
institutions for studying climate change impacts on marine biodiversity.

10. A computer-readable medium storing instructions that, when executed by a
processor, cause the system to perform the method of claims 6-9, enabling
automated fisheries data management, compliance tracking, and sustainability
analysis.

The Integrated Gee-Referenced Fish Catch Data Repository and Access System is an
innovative digital solution designed to modernize fisheries management by integrating
real-time data collection, geospatial mapping, cloud storage, and Al-based analytics. This
system aims to enhance transparency, sustainability, and efficiency in the fishing industry,
ensuring compliance with regulatory frameworks while optimizing resource utilization.
Technical Overview
1. Data Collection Module:
o Fishermen or authorized personnel use a mobile or web-based application to
log fish catch details, including species, quantity, weight, and time of capture.
o Geospatial technology records the exact location (latitude and longitude) of
each fishing event, ensuring precise tracking of catch data.
2. Cloud-Based Data Repository:
o All captured data is securely stored in a cloud-based system that allows
authorized access to fisheries departments, environmental agencies, and
commercial entities.
o Advanced encryption ensures data security and integrity.
3. AI-Driven Analytics and Decision Support:
o Machine learning algorithms analyze historical and real-time data to predict
fish stock availability, market demand trends, and potential overfishing risks.
o Automated alerts notify users about regulatory compliance issues, quota
limits, and sustainable fishing recommendations.
Key Features and Benefits
• Real-Time Monitoring: Ensures accurate tracking of fishing activities and stock
assessments.
• Regulatory Compliance: Helps fisheries authorities enforce fishing quotas and
sustainability guidelines.
• Market Forecasting: Enables better pricing and distribution planning through
Al-driven insights.
• Sustalnabllity & Conservation: Supports responsible fishing by identifying
over-exploited zones and promoting eco-friendly practices.
• Accessibility & Usability: Designed for ease of use with multilingual support and
offline data logging capabilities.
Applications and Use Cases
• Fisheries Management Authorities: Monitoring and enforcement of fishing laws.
• Marine Conservation Organizations: Tracking biodiversity and ecosystem health.
• Seafood Industry & Traders: Optimizing supply chain management and pricing.
• Research Institutions: Studying climate impact on fish populations and aquatic
resources.