Ensaio previsão de Maturação – ACSMV

Field trials are being developed that integrate microclimatic monitoring proximal sensors, drone multispectral data, and different vine shoot thinning strategies, validated by laboratory analyses of grape must for maturation control parameters and wine quality prediction.

The goal is to identify the optimal maturation moment and map it by zones within the vineyard, enabling prediction of grape ripeness based on remote sensing and assessment of canopy management effects on maturation, yield, and quality.

This approach supports better coordination of harvesting machinery at the cooperative level, ensures improved grape and wine quality, and minimizes losses caused by harvesting outside the optimal time window.

Farm challenges

The key challenges the cooperative aims to address include labor shortages, efficient management of harvesting machinery, improvement of grape quality, and the prevention of losses caused by delayed harvesting.

Innovative features of the initiative / solution

The innovative approach consists of using drone flights to predict the harvest date for each plot and for different grape varieties.

Results obtanied

Ongoiong trial.

Lessons learned

A robust grape maturation prediction model depends on numerous drone flights and comprehensive laboratory sampling of grape must.