Marya Butt

Marya Butt serves as Professor and leads the Data Driven Smart Society Lectorate at Inholland University of Applied Sciences, where she bridges academic research with industry applications in precision agriculture and medical diagnostics. Her work directly addresses practical challenges faced by Dutch growers and healthcare providers through deployable AI solutions.

Her research focuses on deep learning for real-world sensor data, with key projects including:

• Non-invasive plant monitoring using RGB-D imaging and YOLO architectures
• Sap flow prediction through recurrent neural networks
• Medical image classification for blood disorders
• Real-time object detection systems for industrial applications

Methodologically, she emphasizes model efficiency for edge deployment and validation under actual operational conditions.

Recent publications (2021-2025) reveal a consistent trajectory toward practical agricultural AI, with 4 of 5 papers focused on tomato cultivation challenges. Her work demonstrates exceptional model performance in constrained environments – achieving 91.2% precision in plant measurements and 98% accuracy in medical diagnostics – while prioritizing solutions feasible for small-scale implementation.

Marya Butt actively collaborates with Dutch agricultural partners and biomedical researchers, translating research into field-tested tools. Her leadership in the Data Driven Smart Society Lectorate fosters industry-academia partnerships where students develop production-ready systems using modern computer vision frameworks under real-world constraints.