Theme: “Data-Driven Agri-Livestock systems and Societal impact”

Connect – Collaborate – Innovate

“Transforming Agriculture, Livestock, and Society through Data Science and Emerging Technologies” underscores the role of data-driven innovation in advancing sustainable agri-livestock systems and societal impact. The 3rd International Conference on Data-Driven Social Change brings together global expertise to drive evidence-based transformation.

It means using modern technology and data to make farming smarter, livestock healthier, and society stronger

The Symposium and Conference will cover the following tracks, including but not limited to:

1. Transforming Agriculture

Using data and technology to improve farming by:

            •          Predicting crop yields

            •          Optimizing irrigation and fertilizer use

            •          Monitoring soil health

            •          Preventing pests and diseases

            •          Increasing productivity with fewer resources

2. Transforming Livestock

Applying technology to animal farming to:

            •          Track animal health using sensors

            •          Improve breeding through data

            •          Prevent disease outbreaks

            •          Ensure better feed management

            •          Increase milk, meat, or egg production efficiently

3. Transforming Society

Impacting communities by:

            •          Creating new jobs in agri-tech

            •          Improving food security

            •          Reducing losses and increasing farmer income

            •          Supporting smarter decision-making at policy level

            •          Strengthening rural economies

4. Role of Data Science & Emerging Technologies

Includes tools like:

            •          Artificial Intelligence (AI)

            •          Machine Learning

            •          Internet of Things (IoT) sensors

            •          Drones

            •          Satellite imagery

            •          Robotics

            •          Big data analytics