Remote Sensing & Agro-informatics Lab

Integrating FT-NIR Spectroscopy and Temporal Deep Learning for Dynamic Nitrogen Status Assessment in Perennial Crops

An Integrated UAV Framework for Individual-Tree Mapping, Bloom Phenology Monitoring, and Yield Prediction in Almond Orchards

Evaluating Spatiotemporal Dynamics of Leaf Area Organization and Forest Function to Thinning Treatments Using Advanced Remote Sensing 

High-Resolution Remote Sensing of Gross Primary Productivity Reveals Climatic and Local Topo-Edaphic Controls in Dryland Conifer Forests

Prioritizing Post-Fire Ecological Restoration in the Western Negev (2017-2025) using Sentinel-2 Time Series and Deep Learning

Data-Driven Seasonal Physiological Profiling of Fruit Cracking Risk in Grapevines

Tracking-by-detection framework for simultaneous tree-scale pomegranate yield and fruit loss estimation from UAV

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

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

Developing a Learning System for Crop Classification and Mapping in Israel Using Satellite Remote Sensing

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

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

Lab Engineer  

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

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

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

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

Generating a high-resolution method for labile soil P using FeO-impregnated paper combined with spectroscopy

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

Development of a LiDAR-Based Model for Monitoringthe Dynamics of Forest Structure as Influenced byThinning Treatments

Assessment of forage quantity and quality using remote sensing tools in Mediterranean and semiarid grasslands

Influence of abiotic factors on forest structure and function in Pinus halepensis and P. brutia pine forests along the climate gradient in Israel

Predicting of Canopy Nitrogen Content based on UAVs and Satellites Data Fusion in Citrus Orchards

Detection and mapping of anthropogenic effects on soil quality in drylands, using imaging spectroscopy

Developing a model for forecasting the effect of the climate on citrus cracking and developing a protocol to reduce the problem

Irrigation application effect on citrus cracking, and developing a protocol to reduce the problem

Site-Specific Nitrogen Management in Citrus Orchard to Minimize Nitrogen Pollution

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Soil quality index for assessing phosphate mining restoration in a hyper-arid environment