Aquaculture farm

AquaGrid - AIoT Solutions forAquaculture & Marine Science

We combine AI, IoT, and data science to transform fish farming, water management, and marine research

Our Vision: We are building AI-powered tools for aquaculture today, but our vision is to create smart monitoring systems for oceans, lakes, and marine ecosystems worldwide.

Problem & Opportunity

Addressing critical issues in Pakistan's aquaculture industry with innovative technology

The Challenge

Fish farmers in Pakistan face significant challenges impacting their livelihoods:

"30–50% income loss due to preventable issues"

Based on field research with 20+ farms

Manual water testing

Time-consuming & error-prone processes that delay critical decisions

Delayed disease detection

Late identification leads to fish deaths and massive losses

Poor feeding & water management

Results in low yield and unnecessarily high operational costs

Expensive, unreliable tools

Current solutions are costly, error-prone, and not locally adapted

Our Solution

AquaGrid's integrated platform provides affordable technology to transform aquaculture:

AquaGrid sensors

Predictive Results

40% less mortality25-30% more yieldLower costs

Water Quality Monitoring

Real-time monitoring of pH, dissolved oxygen, temperature, and ammonia levels with automated alerts

AI-Powered Analytics

Advanced machine learning algorithms for disease detection and feed optimization

Mobile Dashboard

Easy-to-use mobile app with comprehensive data visualization and remote monitoring

Smart Feeding System

Maximize growth while minimizing waste and costs with intelligent feeding recommendations

Early Disease Detection

Identify health issues before they spread using sensor data and predictive analytics

Automated Systems

IoT-enabled automation for feeding, aeration, and water management processes

Implementation Plan

Our strategic roadmap for bringing AquaGrid to fish farmers across Pakistan

1
Phase 1

1Phase 1

Visit farms, speak with farmers, identify top pain points, and validate core problems.

Completed
2
Phase 2

2Phase 2

Build minimum viable product (MVP) with core features: basic sensors + dashboard.

Current
3
Phase 3

3Phase 3

Deploy on select farms (partners in Thatha/Gharo), collect data & farmer feedback.

Upcoming
4
Phase 4

4Phase 4

Launch full product with support, training, and localized deployment nationwide.

Upcoming
5
Phase 5

5Phase 5

Refine based on feedback, improve AI models, optimize cost, and expand to more farms.

Future

Current Implementation Phase

Status:Active
Current Phase
Phase 2
Building Minimum Viable Product
Phase 2 of 5

Building Minimum Viable Product

We are currently focused on developing the Minimum Viable Product (MVP) with core features, including basic sensors and a dashboard. This phase is critical to ensure the foundational technology is robust and ready for initial deployment.

We didn't just build from a desk,
we went to the ponds.

Where We Went

Visited fish farms in Gharo, Sindh - getting hands-on experience with real farming challenges

What We Learned

Manual feeding and testing

Farmers rely heavily on traditional methods without technological assistance

High fish mortality rates

Many farmers face significant losses due to delayed disease detection

Strong interest in tech solutions

Farmers show enthusiasm but lack awareness of affordable technological options

Real Field Experience

Our team conducting on-site research and understanding farmer challenges firsthand

Pakistan's First Fish Health Dataset

Very few open-source datasets exist for fish diseases, especially for species found in Pakistan. We're changing that by building a comprehensive, localized database.

Field visits & camera monitoring

On-site data collection with advanced imaging systems

Image & video collection

Comprehensive visual database of various species and disease cases

Continuous model improvement

Regular updates as AI models learn and evolve with new data

Our Vision

We aim to build Pakistan's first localized dataset of fish health and behavior through systematic data collection, advanced monitoring systems, and continuous learning algorithms.

Numerous

Fish Images

Multiple

Disease Cases

AI-powered fish health monitoring

Transforming Aquaculture in Pakistan

AquaGrid is the first AI-powered aquaculture assistant in Pakistan, designed to address the critical challenges faced by fish farmers. Our solution combines cutting-edge sensor technology with artificial intelligence to provide real-time monitoring, automated feeding, and early disease detection.

With the global aquaculture market reaching 131 million tonnes in 2022 and projected to grow to $370.89 billion by 2029, there's never been a better time to embrace smart farming technologies that increase productivity while ensuring sustainability.

Our Farm Visits & Technology in Action

See how AquaGrid technology is transforming aquaculture operations across Pakistan

Farm Visit - Main Pond

Main pond at Gharo farm during our field visit.

Meet Our Team

Passionate experts combining aquaculture knowledge with cutting-edge technology to revolutionize fish farming in Pakistan.

Dr. Farrukh Shahid

Dr. Farrukh Shahid

Assistant Professor @ FAST

Supervisor | AI & Data Science Expert

Shahzain Alam

Shahzain Alam

AI Student @ FAST NUCES

(Researcher Data Science & AI | Branding Strategist )

Shozab Mehdi

Shozab Mehdi

CS Student @ FAST NUCES

( Full-Stack Developer | Computer Vision Researcher )

Sameer Ahmed

Sameer Ahmed

SE Student @ FAST NUCES

( IoT Specialized Software Engineer | AI Engineer )

Experts in aquaculture technology and AI innovations