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Dr. Train Paz-Kagan
Principal investigator (PI)
+972-50-3296623
The Remote Sensing and Agroinformatics Laboratory|
French Associates Institute for Agriculture and Biotechnology of Drylands| The Jacob Blaustein Institutes for Desert Research| Ben-Gurion University of the Negev, Israel School of Sustainability and Climate Change | Chair of the Sonnenfeldt-Goldman Career Development for Desert Research
Current Team
Mr. Vladimir Alexandroff
Lab Engineer
Developing a system for near-real-time mapping of agricultural crops
Dr. Vladislav Moshe Dubinin
Postdoctoral fellow
Towards Precision Modeling of Tree Water Status: Advanced Remote Sensing Applications in Forest and Orchard Systems
Dr. Faina Khoroshevsky
Data Scientist
Israeli Digital Agriculture Center
Ecophysiological crop modeling to match almond cultivars planting to Israel's climate.
Mr. Iaroslav Grozdov
Student - Ph.D
Using remote sensing for precise nitrogen fertilization to estimate the spatial variability in yield and fruit quality in avocados
Mr. Lior Fine
Student - Ph.D
Developing a system for near-real-time mapping of agricultural crops
Mr. Avrodeep Paul
Student - Ph.D
Utilizing advanced earth observation systems to assess the effects of land use and climate change on soil erosion risk
Mr. Kai Zhang
Student - Ph.D
Development of an Almond Tree Digital Twin Model
Mr. Noam Efrat
Student - MSc
Assessing the spatiotemporal variations in canopy water content using multisensory imagery and testing its link to yield gap in an almond orchard
Mr. Gome Shalvi
Student - MSc
Smart irrigation and fertilization with new plantation of mixed forest on Mount Gilboa
Ms. Nechama Zipora Brickner
Student - MSc
Crops Mapping in Near Real-Time Using Satellite Remote Sensing and Machin Learning Approach
Mr. Adi Edry
Student - MSc
Developing a segmentation approach based on high-resolution imagery for near-real-time mapping of crops
Mr. Avi Tolnov
Student - MSc
Developing a classification approach for near-real-time mapping of crops
Ms. Yuval Tenenboim
Student - MSc
Estimation of yield and yield losses in pomegranate orchards using AI approach
Mr. Paz Adziashvili
Student - MSc
CrackSense- High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies in grape wine
Mr. Tom Collier
Student - MSc
Using imaging spectroscopy for detecting and mapping soil rehabilitation in a Zin mining area
Mr. Yaniv Sevil
Student - MSc
CrackSense- High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies in Citrus
Mr. Tal Shahar
Student - MSc
Enhancing Springtime Heat Stress Tolerance in Avocado Trees with Gibberellin Treatments.
Mr. Snir Tahasa
Early almond yield forecasting by bloom mapping using aerial imagery and deep learning
Ms. Bar Naor
Using advanced AI and remote sensing tools to Build Back Better the
Western Negev for people and nature