Roshan Ragel

Honored to moderate the panel discussion:
“𝗔𝗜 𝗠𝗲𝗲𝘁𝘀 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁”
The session brought together leaders from research, government, and industry to discuss how AI can support Sri Lanka’s agricultural transformation through data, infrastructure, and practical innovation.
Key discussions included:
✔️ Mechanization challenges
✔️ Open agricultural datasets
✔️ AI-powered advisory systems
✔️ Precision agriculture
✔️ Federated national data platforms
✔️ Industry-academia-government collaboration
Special thanks to the distinguished panelists:
• Dr. Asitha Bandaranayake
• Dr. Thushara Wickramaarachchi
• Mr. Manju Gunawardana
• Mr. Samudra Kanankearachchi
🎥 Full episode:
https://www.youtube.com/watch?v=S3oqwWvpJjw

𝗔𝗜 𝗠𝗲𝗲𝘁𝘀 𝗔𝗴𝗿𝗶𝗰𝘂𝗹𝘁𝘂𝗿𝗲: 𝗕𝗿𝗶𝗱𝗴𝗶𝗻𝗴 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗡𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁
It was a privilege to moderate this important discussion on how Artificial Intelligence can transform the future of agriculture in Sri Lanka.
Together with experts from academia, government, and industry, we explored challenges and opportunities around:
🔹 Agricultural data ecosystems
🔹 AI-driven decision making
🔹 Smart farming technologies
🔹 Food security and sustainability
🔹 National-scale collaboration for innovation
A meaningful conversation on how research, policy, and industry can work together to build a smarter agricultural future.
Panelists:
• Dr. Asitha Bandaranayake
• Dr. Thushara Wickramaarachchi
• Mr. Manju Gunawardana
• Mr. Samudra Kanankearachchi
📺 Watch the full discussion here:
https://www.youtube.com/watch?v=S3oqwWvpJjw

In the age of AI, data is no longer just a supporting component of research — it has become the foundation of intelligent systems.
I’m pleased to share the full recording of our session on “𝗨𝘀𝗲 𝗼𝗳 𝗔𝗜 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗖𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 & 𝗗𝗮𝘁𝗮𝘀𝗲𝘁 𝗖𝗿𝗲𝗮𝘁𝗶𝗼𝗻” conducted as part of the Research in the AI Era series at the University of Peradeniya.
Together with Dr. Isuru Nawinne, we explored how researchers can leverage AI to improve data collection, annotation, validation, and dataset curation while also addressing the growing concerns around bias, ethics, synthetic data generation, and reliability.
One important insight from the discussion was the need for developing datasets that truly represent our own contexts, communities, and real-world challenges. Many AI systems still fail to accurately represent regions like Sri Lanka simply because our data is underrepresented in global datasets.
The session also covered:
✅ AI-assisted annotation and labeling
✅ Human-in-the-loop validation approaches
✅ Ethical risks in AI-generated datasets
✅ Medical and research data challenges
✅ Synthetic data generation techniques
✅ Building scalable data pipelines for AI research
A heartfelt thank you to the organizers, participants, and everyone who contributed to the discussion.
🎥 Full session available on YouTube now : https://www.youtube.com/watch?v=2P6i-Eji0Y0

I hope this discussion will encourage more researchers and students to think critically about the role of data in AI innovation.

Thankful for everyone who made my birthday so special today ❤️🎂

゚ ゚viralシ

𝗜𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗲𝗿𝗮, 𝗲𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗹𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗿𝗲𝘃𝗶𝗲𝘄𝘀 𝗿𝗲𝗾𝘂𝗶𝗿𝗲 𝗯𝗼𝘁𝗵 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗮𝗻𝗱 𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝘁𝗵𝗶𝗻𝗸𝗶𝗻𝗴.
In this session of “Research in the AI Era”, Prof. Nuwan Kodagoda and Roshan Ragel explore how researchers can leverage AI tools without compromising depth, originality, and academic integrity.
The discussion covers:
• The evolving role of AI in literature review
• Practical use of AI tools for academic research
• Limitations and ethical concerns in AI-assisted work
• The importance of human judgment in knowledge synthesis
• Future directions of AI in scholarly research
𝗔 𝗺𝘂𝘀𝘁-𝘄𝗮𝘁𝗰𝗵 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀, 𝗲𝗱𝘂𝗰𝗮𝘁𝗼𝗿𝘀, 𝗮𝗻𝗱 𝘀𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗮𝗱𝗮𝗽𝘁𝗶𝗻𝗴 𝘁𝗼 𝘁𝗵𝗲 𝗔𝗜-𝗲𝗻𝗮𝗯𝗹𝗲𝗱 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗲𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺.
𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 episode here:https://youtu.be/9y_NIdfVUn4
𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 series here: https://www.youtube.com/playlist?list=PLf0ApYr_zTIbL0jCqs0vQ6C7NO06KNq5e

𝗛𝗼𝘄 𝗰𝗮𝗻 𝗔𝗜 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘁𝗵𝗲 𝘄𝗮𝘆 𝘄𝗲 𝗰𝗼𝗻𝗱𝘂𝗰𝘁 𝗹𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗿𝗲𝘃𝗶𝗲𝘄𝘀?
In Session #03 of our “Research in the AI Era” series, Prof. Nuwan Kodagoda and Roshan Ragel examine how AI tools are changing one of the most fundamental components of research.
Key discussions include:
✔️ Comparing AI tools for literature review (ChatGPT, Perplexity, NotebookLM)
✔️ How AI supports document understanding and synthesis
✔️ Challenges in accuracy, bias, and hallucinations
✔️ Risks of misuse in academic research
✔️ Balancing efficiency with research rigor
𝗧𝗵𝗶𝘀 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 𝗼𝗳𝗳𝗲𝗿𝘀 𝗽𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗶𝗻𝘀𝗶𝗴𝗵𝘁𝘀 𝗶𝗻𝘁𝗼 𝘂𝘀𝗶𝗻𝗴 𝗔𝗜 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝘆 𝘄𝗵𝗶𝗹𝗲 𝗽𝗿𝗲𝘀𝗲𝗿𝘃𝗶𝗻𝗴 𝗮𝗰𝗮𝗱𝗲𝗺𝗶𝗰 𝗾𝘂𝗮𝗹𝗶𝘁𝘆.
𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 episode here:https://youtu.be/9y_NIdfVUn4
𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 series here: https://www.youtube.com/playlist?list=PLf0ApYr_zTIbL0jCqs0vQ6C7NO06KNq5e

𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 Series - 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 #𝟬𝟯: 𝗔𝗜 & 𝗟𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗥𝗲𝘃𝗶𝗲𝘄
In this session, we explore how Artificial Intelligence is reshaping the literature review process and influencing how researchers discover, analyze, and synthesize knowledge.
🎙 With Prof. Nuwan Kodagoda, I discuss:
• How AI tools assist in literature discovery and summarization
• Strengths and limitations of tools like ChatGPT, Perplexity, and NotebookLM
• Risks of over-reliance on AI-generated insights
• Maintaining critical thinking in AI-assisted research
𝗧𝗵𝗶𝘀 𝘀𝗲𝘀𝘀𝗶𝗼𝗻 𝗶𝘀 𝗶𝗱𝗲𝗮𝗹 𝗳𝗼𝗿 𝗿𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝘁𝗼 𝗲𝗻𝗵𝗮𝗻𝗰𝗲 𝘁𝗵𝗲𝗶𝗿 𝗹𝗶𝘁𝗲𝗿𝗮𝘁𝘂𝗿𝗲 𝗿𝗲𝘃𝗶𝗲𝘄 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝘄𝗶𝘁𝗵 𝗔𝗜.
𝗪𝗮𝘁𝗰𝗵 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 episode here: https://youtu.be/9y_NIdfVUn4
𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗶𝗻 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗿𝗮 series here: https://www.youtube.com/playlist?list=PLf0ApYr_zTIbL0jCqs0vQ6C7NO06KNq5e