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Vine nutrition

The aim of this project is to develop a diagnostic tool for the rapid and accurate assessment of grapevine nutritional status in the field. A smartphone app will be developed to capture and analyse images of vine leaves, to rapidly assess nutritional status. Using this tool, vineyard managers and growers will be able to take a photo of a leaf with a smartphone, and through customised machine learning and computer vision techniques, make an assessment of nutrient deficiency/toxicity. The GPS function of the smartphone will be used to geo-tag the location of the selected vines, allowing tracking of seasonal changes in nutrient status, and the creation of an historical database.

The project will also generate a diagnostic key and an image library (from published sources) showing symptomatic leaves for various nutrient disorders, to assist growers in making in-field assessments. The feasibility of using a mini-spectrometer for nutrient assessment in real time will be evaluated against traditional petiole analyses, and the current tissue sampling protocol for vine macro and micronutrient status will be refined.

Project date

1 Jul 2018-31 Dec 2021
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Principal investigator

Rogiers, Suzy

Research organisation

Project led by

Multiple industries
Fruits Other rural industries Wine

Wine Australia

Wine Australia helps foster and encourage profitable, resilient and sustainable Australian winegrape and wine businesses by investing in research and …

Multiple industries
Fruits Other rural industries Wine
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  • Organisation type

    Research funding body

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