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Precision Crop
Water Management

A Decision Support Tool for Managing Crop Water Status

Water Status Tool
Spatial Sampling Tool
our story

Data Modelling

This website contains tools based on two models:
The Water for Crop – W4Crop – model and the Sample4Crop model were developed within the SHui Horizon 2020 project, a multinational European-Israeli-Chinese research endeavor to develop soil and water management solutions to manage water scarcity in European/Middle Eastern and Chinese cropping systems, and within a project funded by the Chief Scientist Office, Israeli Ministry of Agriculture developing AI-based decision support systems for spatial sampling of agricultural plots. 

The models were developed as a cooperation between TerraVision Lab, Israel and the Israeli Agricultural Research Organization (ARO – Volcani Institute)

our goal

Mission Statement

The aim of the W4Crop model is to predict the spatial variability in crop water status by using a user-friendly site-specific tool. Currently, the model focuses on predicting the spatial variability of Crop Water Stress Index (CWSI) of single plants or trees, or of management zones, by predicting the distribution of z-transformed CWSI values, to optimize precision water management. 

The aim of the Sample4Crop model is to produce spatial sampling maps for optimizing the distribution and number of samples or sensors within an agricultural field.

Both models are based on advanced machine learning and spatial statistical algorithms to identify the spatial variability in the field, to support the sustainable management of water, proximal sensing, sampling resources and crop production, and to secure economic viability.

Research

A spatial machine-learning model for predicting crop water stress index for precision irrigation of vineyards

 To the research >

How do spatial scale and seasonal factors affect thermal-based water status estimation and precision irrigation decisions in vineyards?

 To the research >

How Sensitive Is Thermal Image-Based Orchard Water Status Estimation to Canopy Extraction Quality?

 To the research >
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Our Team

We are a team of scientists and industry entrepreneurs dedicated to developing state-of-the-art tools to support the farming community in vital decision-making processes.

The Agricultural Research Organization (ARO)

Volcani Institute is a leading Israeli agricultural research institute that focuses on plant sciences and protection, animal sciences, soil and environmental sciences, food sciences and agricultural engineering.

to the site >>

TerraVision Lab

Terravision Lab is a high-tech company with global experience in developing decision support systems for managing increasingly limited resources, predominantly in water-scarce regions.

to the site >>

Elchanan Vol

Software and Web Developer
specializing in backend development, data processing, and
machine learning pipelines.

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 Funders and Partners 

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