Needed
The Water for Crop - W4Crop
- model was 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.
The W4Crop model was developed as a cooperation between TerraVision Lab,
Israel and
the Israeli Agricultural Research Organization
(ARO) – Volcani Institute.
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 the prediction of Crop Water Stress Index (CWSI) of single plants or trees, or on the CWSI of management zones to optimize precision water management. The model is based on advanced machine learning and spatial statistic algorithms to identify the spatial variability in the field to aid in the sustainable management of water resources, to support crop production and secure economic viability.
We are a team of scientists and industry entrepreneurs dedicated to
develop a state-of-the-art
tool to aid the farming community in vital decision-making processes.
TerraVision
Lab is a high-tech company with global experience in developing decision support
systems for the management of increasingly limited resources, predominantly in water deprived
regions.
The Agricultural Research Organization (ARO), Volcani Institute is a leading Israeli
agricultural research institute which focuses on plant sciences and protection, animal sciences,
soil and environmental sciences, food sciences and agricultural engineering.
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