Feije de Zwart
Papers
1
Total Citations
6
H-Index
1
About
Feije de Zwart is a leading figure in greenhouse horticulture and controlled-environment agriculture, with a career dedicated to advancing data-driven climate and irrigation control systems. His research focuses on integrating intelligent algorithms and multiple-sensor feedback to optimize resource use efficiency in modern, high-tech greenhouses. De Zwart’s major contributions include pioneering autonomous cultivation strategies, most notably demonstrated in his highly cited 2025 work on dwarf tomato production, which evaluates machine learning and AI-based approaches for real-time environmental management. This study, already garnering 6 citations shortly after publication, underscores his impact in transitioning greenhouses from manual oversight to fully automated, sensor-driven operations. Beyond this, his broader portfolio addresses energy-saving climate control, water-use efficiency, and the digitalization of horticultural systems, making him a key architect of the “smart greenhouse” paradigm. De Zwart’s work is essential reading for researchers and students exploring the intersection of agronomy, engineering, and artificial intelligence, offering practical frameworks for sustainable, high-yield crop production in a resource-constrained world.
Research Focus
Key Achievements
Top Papers
- 1