An AI Enabled Quasi-Real-Time Water Quality Monitoring For Early Chemical and/or Biocontamination Detection

Enabling Sustainable Solutions for Agriculture and Water Resources

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A 3-day training event, was held to serve participants from PERN partner Universities in Pakistan and Online participants from Asi@Connect partners’ NRENs/Associates, including BDREN, MYREN, and LEARN.

Statistics and Objectives

  • Title: “Enabling Sustainable Solutions for Agriculture and Water Resources”
  • Date: 12 October 2022 – 14 October 2022
  • Duration: 03 days
  • Location: SEECS NUST Pakistan
  • Format: Seminars & Workshops
  • Digitalization Scale: Blended learning
  • No of Participants: 40 (50% female participants were planned)
  • Status: Seats reserved for BS Students (55%), MS/PhD Students (35%) Industry and Academia (10%)

The comprehensive training was to cover the following activities:

  • Water quality data harvesting from IoT devices.
  • Development of deep learning-based time series forecasting models for analysing water bio-contamination risk propagation.
  • Development of an information visualization framework using Tableau and/or Info grams.

Achieved Outcomes:

During the training, we talked about how to make farming and managing water better for the environment. People learned a lot and got better at solving problems. They also made new friends and learned from others from all over the world.

Effectiveness Measurement:

We checked how well people learned by asking them questions. We also did activities to practice what we talked about. People worked together on projects, and we asked them how they felt about the training.

We extend our gratitude to all participants, trainers, and supporters who made this training program a success.

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