Monique Bijlaard
Papers
1
Total Citations
6
H-Index
1
About
Monique Bijlaard is a leading researcher in autonomous greenhouse cultivation, specializing in the integration of intelligent algorithms and multi-sensor feedback systems to optimize horticultural production. Her work focuses on advancing data-driven climate and irrigation control for high-tech greenhouses, aiming to enhance resource efficiency and crop yield in controlled-environment agriculture. Bijlaard’s most cited paper, “Autonomous Greenhouse Cultivation of Dwarf Tomato: Performance Evaluation of Intelligent Algorithms for Multiple-Sensor Feedback” (2025, 6 citations), provides a rigorous assessment of how machine learning models can manage complex environmental variables to improve tomato cultivation. This contribution is pivotal for transitioning greenhouses from manual oversight to fully autonomous operations, reducing labor and resource waste while boosting productivity. Her research addresses global food security challenges by making greenhouse farming more sustainable and scalable. Bijlaard’s work is notable for bridging the gap between theoretical AI and practical agricultural applications, earning her recognition among peers in precision agriculture. Her findings offer a blueprint for future smart farming systems, positioning her as a key innovator in the field of intelligent horticulture.
Research Focus
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Top Papers
- 1