- ORCID iD
- 0000-0002-0344-0971
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Proximal sensing techniques for the detection of key leaf diseases in leek and potato
(2022) -
- Journal Article
- A2
- open access
On the pivotal role of water potential to model plant physiological processes
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Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato
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- Journal Article
- A1
- open access
The automation of hyperspectral training library construction : a case study for wheat and potato crops
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Detection of leek white tip disease under field conditions using hyperspectral proximal sensing and supervised machine learning
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- Conference Paper
- C1
- open access
Detection of leek rust and white tip disease under field conditions using hyperspectral proximal sensing and supervised machine learning
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- Journal Article
- A1
- open access
Detection of leek rust disease under field conditions using hyperspectral proximal sensing and machine learning
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- Journal Article
- A1
- open access
Practical recommendations for hyperspectral and thermal proximal disease sensing in potato and leek fields