Building Climate Resilience & Enhancing Sustainability In Agriculture
How can we help you?
Wine Industry
Maximise the potential of your vineyards with optimal harvests and environmental resilience
Landowners and Farmers
Unlock the potential of Soil Organic Carbon (SOC) and optimise your nutrient application (NPK)
Food and Beverage Companies
Support the transition of your supply chain to achieve net zero targets with access to high quality and scalable Soil Organic Carbon (SOC) data
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Testimonials
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"NYWGF is proud to have partnered with Deep Planet, a global Agri Tech company, on this report…Their work will be instrumental in building a foundational process by which New York’s vineyard data can be regularly and accurately measured for years to come."
Sam Filler, Executive Director, New York Wine & Grape Foundation
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"Through our partnership with Deep Planet, doTERRA will continue its lifelong commitment to source the healing gifts of the earth intentionally and sustainably, one tree at a time"
doTERRA
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"Our pilot study with SoilSignal where we cross referenced with actual soil test results, proved it to be very effective for carbon mapping and reducing the uncertainty around soil test results."
Carbon Friendly
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"From the data and findings, we will influence the defoliation, the pruning height, the soil cultivation, and even the type of rootstock vines. We're actively exploring water-conserving ground covers and considering incorporating biochar. As a testament to the value of this analysis"
Chateau Pape Clement
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"With Deep Planet’s VineSignal I am able to focus on making quality, organic wine instead of worrying about vineyard health issues. VinSignal gives me the visibility and intel I need to know what’s going on and address any issues in a timely manner."
Koonara Wines
Insights
Continuous monitoring of crops and forecasting crop conditions through time series analysis is crucial for effective agricultural monitoring and management. Traditional time series interpolation methods are commonly used for reconstructing historical missing images. However, these methods often struggle with data quality issues, such as cloud cover, that can obscure critical data, especially in optical satellite sensors.