GeoSense is a vertically integrated provider of environmental monitoring systems and decision support systems for agriculture, with a diverse offering of nodes and sensors, mesh networks, and data aggregation.
Having installed real-time monitoring stations for microclimate, water, soil and plant health variables in around 45 locations in over eight continents, Professor Philip Sallis and his team at the AUT Geoinformatics Research Centre have developed and refined this system. The system has been proven to be a reliable source of information for supporting daily decision making in the vineyard and on the orchard. This has involved custom improvements to off-the-shelf sensors and calibration tools to increase sensor robustness, sensitivity and accuracy, as well as improvements to wireless network components and optimisation systems for power management.
GeoSense provides robust telemetry and data transfer systems, sensor calibration expertise and web-based prediction services like frost and crop yield prediction. It serves up data on a user-friendly web interface allowing the user to view summary statistics as well as gain access to their raw data.
The GeoSense prediction service model can generate up to 5-day prediction reports for selected crop types in selected regions which would realize on-farm yield management benefits of up to 20% at a cost of less than $30/acre per annum. This technology could help processors affordably and effectively manage their growers to ensure they meet or even exceed their precontracted supply volumes.
GeoSense provides a versatile platform for establishing a viable business model, potentially as a specialist provider of prediction services and systems for horticultural clients growing high value crops like grapes and berries.
GeoSense is a system most adept to application in vineyards with years of development and testing on these challenging farm environments.
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Target Cooperation Model
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Mr Peter Lai
KiwiNet, Independent Consultant/International Advisor