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NeuroCampur AI Global Series

Can AI Predict the Future of Farming?

Digital twins, food security and the next agricultural revolution.

A moderated academic discussion with Professor Ts Dr Nurfadhlina Mohd Sharef on how artificial intelligence can transform agriculture, strengthen food security and empower farmers.

Sunday 15 November 202610:00 UK (GMT) · 18:00 Malaysia (MYT)Online · Free

The speaker

Professor Ts Dr Nurfadhlina Mohd Sharef

Professor of Computer Science, Faculty of Computer Science and Information Technology, Universiti Putra Malaysia

Professor Ts Dr Nurfadhlina Mohd Sharef is one of Malaysia's leading AI scholars, with more than twenty years of work across artificial intelligence, data science, digital transformation and human machine teaming at Universiti Putra Malaysia.

She earned her PhD in Intelligent Systems at the University of Bristol in the United Kingdom, following an MSc in Software Engineering at UPM. Her research spans AI governance, data ecosystems, digital inclusion, interactive machine learning, digital twins, personalised learning and precision biodiversity.

She has served as UPM Chief Digital Officer, Chair of the Young Scientists Network of the Academy of Sciences Malaysia, Chair of the ASM Data Scientist Group for COVID 19 and a member of the National AI Roadmap Task Force. She advises UNESCO, ITU, ASEAN, ICESCO, APEC and the British High Commission.

20+

Years in AI

2,500+

Citations

RM 4.6m+

Competitive grants

PhD

University of Bristol

Chair, Young Scientists Network, Academy of Sciences Malaysia (2023 to 2025)
Chief Digital Officer, Universiti Putra Malaysia
Chair, ASM Data Scientist Group for COVID 19
Member, National AI Roadmap Task Force
Expert to UNESCO, ITU, ASEAN, ICESCO, APEC and the British High Commission
Grants from AFOSR (USA), ASEAN, APEC and national bodies

Biography and CV Google Scholar FarmNeura at UPM AI Hub Crop digital twin paper LinkedIn

Research

From intelligent systems to living farms

FarmNeura

A web and mobile digital twin system that helps farmers simulate farm outcomes, receive personalised crop management strategies and combine real time and farmer reported data.

Crop digital twins

Concentration prediction based crop digital twins that use nutrient co existence and composition in regression algorithms (Applied Sciences, 2024).

Responsible AI

AI governance, data ecosystems and inclusive, gender sensitive AI programmes across Asia.

Interactive machine learning

Human machine teaming and intelligent systems that learn alongside the people who use them.

Personalised learning

Award winning work in blended and experiential learning for higher education.

Precision biodiversity

Data driven approaches to understanding and protecting natural ecosystems.

Watch

ASHELF 2025 cluster concurrent session, representing UPM · Watch on YouTube

A practical guide to blended learning · Watch on YouTube

On the shelf

Her contribution to Women Who Lead

Professor Nurfadhlina shares her leadership journey alongside inspiring women from around the world.

Contributing author · Professor Ts Dr Nurfadhlina Mohd Sharef

Women Who Lead: Timeless Life, Career, and Business Secrets from Inspiring Women Around the World

Compiled by Dr Izdihar Jamil · Kindle, paperback, hardcover and audiobook

An international anthology in which women leaders from academia, business and public life share the lessons that shaped their lives and careers. Each chapter offers a personal account of growth, resilience and purpose, with practical wisdom for anyone building a career or leading others. Professor Nurfadhlina contributes her own journey as a Malaysian computer scientist and academic leader.

Explore at the publisher

Programme

Four questions for the session

1
Digital twins
Can AI help farmers simulate agricultural decisions before implementing them in the real world?
2
Intelligent farming
How can predictive AI optimise crop yields, fertiliser use and agricultural sustainability?
3
Food security
Could AI help Malaysia become a regional leader in climate resilient agriculture?
4
From research to reality
How can innovations such as FarmNeura be translated into practical, affordable solutions for farmers?

This conversation complements UPM's leadership of the Agriculture and AI Sector Lab at Akal Budi AI 2027, taking place on 17 and 18 April 2027 at the University of Oxford, and celebrates a growing Malaysia UK partnership in agricultural innovation.

Register for the session

Sunday 15 November 2026 · Online · 10:00 UK time / 18:00 Malaysia time · Free to attend

Only registered participants receive the online joining link. No website account is needed.

All queries: aisyah@neurocampur.com