Remote Sensing & Agro-informatics Lab

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Development of a spatial decision support model to reduce agricultural soil erosion at a watershed scale using remote sensing tools

Herd presence and the impact of their grazing on biomass and vegetative landscape structure in JNF forests of the central region.

Assessing response to drought stress in dryland forests based on Leaf area organization (LAO) derived from VENμS imagery and LiDAR

Developing a system for near-real-time mapping of agricultural crops

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Using remote sensing for precise nitrogen fertilization to estimate the spatial variability in yield and fruit quality in avocados

Utilizing advanced earth observation systems to assess the effects of land use and climate change on soil erosion risk

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Assessing the spatiotemporal variations in canopy water content using multisensory imagery and testing its link to yield gap in an almond orchard

Incorporation of winter tree physiology into forecast models of orchards bloom and yield

Using remote sensing to quantify temporal and spatial variability in tree canopy nitrogen content and their relationship to yield gap in an almond orchard

Smart irrigation and fertilization with new plantation of mixed forest on Mount Gilboa

Crops Mapping in Near Real-Time Using Satellite Remote Sensing and Machin Learning Approach

Developing a segmentation approach based on high-resolution imagery for near-real-time mapping of crops

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Developing a classification approach for near-real-time mapping of crops

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CrackSense- object-based detection of fruit cracking by sensing and digital data technologies

CrackSense- High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies in grape wine 

"Using imaging spectroscopy for detecting and mapping soil rehabilitation in a Zin mining area

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CrackSense- High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies in Citrus

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CrackSense- High throughput real-time monitoring and prediction of fruit cracking by utilizing and upscaling sensing and digital data technologies in Pomegranate 

Enhancing Springtime Heat Stress Tolerance in Avocado Trees with Gibberellin Treatments.

Applying artificial intelligence and chemometrics to diagnose plant Nitrogen status by minerals and metabolites concentration and to optimize orchard fertigation

Improving water use efficiency in irrigation for growing almonds to cope with uncertainty in the water supply