Remote Sensing & Agro-informatics Lab

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

Towards Precision Modeling of Tree Water Status: Advanced Remote Sensing Applications in Forest and Orchard Systems

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

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

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

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Development of an Almond Tree Digital Twin Model

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

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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Estimation of yield and yield losses in pomegranate orchards using AI approach

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

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

Leveraging LiDAR for Digital Twin Modeling in Almond Production

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