We are looking for highly motivated and creative postdocs and graduate students. The lab main interests are in remote sensing of plants, hyperspectral imagery, precision agriculture and high throughput plant phenotyping.
Please check these sites for potential scholarship funding opportunities:
71304 – Introduction to remote sensing of vegetation (BSc; Hebrew)
71305 – Physiology of crop production (BSc; Hebrew)
71401 – Mini-seminar in plant sciences in agriculture (BSc; Hebrew)
71130 – Spectral plant phenotyping from theory to practice (MSc; English/Hebrew)
Peer reviewed publications:
2024
43. Sadeh, R, Ben-David, R, Herrmann, I, and Peleg, Z (2024). Spectral-genomic chain-model approach enhance wheat yield components prediction under Mediterranean climate. Physiologia Plantarum 176(4), e14480.
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My lab is the Plant Sensing Laboratory.
We use a collection of Remote and Proximal Sensing techniques and scales in the open field as well as more controlled environments, to obtain non-destructive data and imagery. A variety of techniques including Machine Learning and Image Processing are implemented.
The ability to nondestructively assess plant traits is explored and used to detect a-biotic and biotic stresses, predict yield and assess plant phenology among other applications.
Remote sensing of vegetation, Hyperspectral imaging, Precision agriculture, High-throughput plant phenotyping
We welcome Dr Ittai Herrmann to the Institute.
Dr. Hermanni is setting up the Plant Sensing Laboratory. The lab will use remote and proximal sensing techniques, both in the field and in controlled environments, to nondestructively assess plant traits, detect stress, redict yield and assess plant phenology.
