AgTech Directory

VineSignal

We’re an AI-powered platform using satellite imagery to support precision viticulture:

  • Hands off yield prediction using satellite imagery

  • 90-95% accuracy for all major Australian varieties

  • Soil moisture monitoring and predictions - soil soisture mapping for the entire vineyard and up to 1.5 metres depth, 2 week prediction

  • Dynamic irrigation - dynamic irrigation forecasting with volume and date variables

  • Vine health - track daily, weekly and monthly vegetation change (NDVI), 2 week prediction to see the impact of irrigation and fertiliser

  • Leaf moisture - track daily, weekly and monthly moisture change (NDWI), 2 week prediction to see the impact of irrigation

  • Vine geo-location - automatically geolocate and tag every vine in your vineyard, Building block for traceability

  • Season summary - make off-season adjustments for nutrients and variability, Historical visual summary from bud burst to vintage

VineSignal

  • Focus areas
  • Pricing model

    Starter(Free): - Weekly Vine Health and Leaf Moisture, Weekly predictions, Weekly and monthly change Variability Analysis, 5 day Weather forecast Basic (3c per vine): - Starter+ Daily vine health and leaf moisture variability, monthly high resolution vine health, Soil moisture map of vineyard. Standard(6c per vine): - Basic+ Yield Prediction Premium (20c per vine): - Soil Sensors and micro-weather hardware included.

  • Installation process

    Onboarding Process:

    • Vine Health and Leaf Moisture monitoring and predictions - 10 minute set up, Map vineyards by block and variety, upload KMZ or send us pdf and we'll map it for you.

    • Yield - Hands off yield monitoring. - Historical yield by block and variety

    • Soil Moisture and irrigation predictions - Access to Soil Sensors and Soil Profile (if used and available)

  • Ongoing maintenance required and support provided in Australia

    We have 24/7 support for our software from our Australia, UK and USA based team members.

  • Units deployed commercially
    1,000+ hectares
  • Energy source

    None. Delivered via the web.

  • Communications compatibility

    None

  • Data ownership policy

    Customer owns all data and has complete autonomy to choose if/when/how to provide access to data to third parties

  • Data privacy and security policy

    We maintain a secure cloud environment where data is curated, quality controlled and stored, so it can be re-purposed for a positive benefit. We are in compliance with GDPR.

Case Study

Predicting Shiraz Yield to 95% accuracy in Barossa, Coonawarra and the Hunter Valley

Yield prediction of grapes to date has so far been anyone’s guess. In-field estimates, even on the week of picking, can have an error of up to 30% from the actual tonnage. With the variability in weather conditions causing bumper and bust yields for the past few seasons, it’s been extraordinarily difficult to give accurate estimates for winery production.

To predict yield, Deep Planet harnesses proprietary machine learning and the increasing arsenal of satellites that have been launched into space. Deep Planet is working with growers in the Barossa, Coonawarra and Hunter regions of Australia to predict Shiraz yield to 95% accuracy on average over the past four growing seasons.

Terms and conditions apply. Please refer to our legal statement.


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