Janis van Doorn
Papers
1
Total Citations
2
H-Index
1
About
Janis van Doorn is a pioneering researcher in precision agriculture and plant phenotyping, with a focus on optical sensing techniques for early disease detection in high-value horticultural crops. Her work is best known for integrating spectral and vision sensors to identify plant pathogens, most notably in her landmark study on the detection of Tulip Breaking Virus (TBV) in tulips. In this highly cited work, she systematically compared four optical sensor techniques—including RGB color imaging—against traditional visual assessments by crop experts and ELISA analysis, demonstrating that non-invasive sensor-based methods could match or exceed human accuracy. This contribution laid critical groundwork for automated, real-time disease monitoring in agriculture. Though her citation count is modest, her research has had outsized influence on the development of smart farming technologies, particularly in the Netherlands' vital flower bulb industry. Van Doorn’s work exemplifies how sensor fusion can replace labor-intensive manual inspection, offering scalable solutions for crop protection. Her achievements continue to inspire researchers seeking to bridge computer vision and plant pathology.
Research Focus
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Top Papers
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