Educational research

My educational research interest includes (i) the development of innovative tools to assess students’ learning, and (ii) pedagogical innovation to support excellent teaching in remote and proximal sensing, geospatial intelligence, and application of artificial intelligence in digital, cyber-physical, and precision agriculture.

Disciplinary research

My primary research goal is to promote sustainable crop production while protecting the environment and conserving the resources.

• Precision agriculture
• Remote sensing and geospatial intelligence
• UAV-based aerial imagery
• Machine learning and deep learning
• Image-based sensing (RGB, multispectral and hyperspectral imaging)