Pinglin Zhang

Pinglin Zhang is a Researcher at Wageningen University & Research affiliated with the Businessunit Glastuinbouw (Greenhouse Horticulture) within Wageningen Plant Research. Zhang focuses on integrating artificial intelligence and sensor technologies into sustainable horticultural practices, particularly for greenhouse crop production systems.

Research interests center on Horticulture and Artificial Intelligence applications, with specific expertise in Greenhouse Cultivation, Plant Density Optimization, Irrigation Management, and Resource Use Efficiency. Key projects involve developing intelligent algorithms for sensor-based feedback control in tomato cultivation and optimizing water-energy systems for greenhouse operations.

Recent publications reveal a strong trend toward data-driven greenhouse management, emphasizing multi-sensor fusion for autonomous climate control, rainwater harvesting as thermal buffers, and sensor density impact assessment on crop outcomes. This work bridges agricultural engineering with machine learning to address sustainability challenges in resource-intensive horticulture.

No scientific awards or honors were documented in the provided materials.

Zhang actively collaborates with interdisciplinary teams at Wageningen University & Research but no student supervision or grant details were specified. Key partnerships include Maree, van Marrewijk, de Zwart, Bijlaard, and Hemming on autonomous greenhouse initiatives.

As part of the GTB Tuinbouw Technologie research group, Zhang contributes to the Autonomous Greenhouse Challenge series, developing AI-driven solutions for dwarf tomato cultivation. The team specializes in creating open datasets for sensor-based crop monitoring and advancing practical implementations of smart irrigation systems in commercial greenhouse settings.