2023–2025
ODT
Olive Decision Tool
Project scope: Regional
Category: AgroTech
Technologies involved: Data Analytics, Machine Learning, Computer Vision
Application sectors: Agriculture
Description
The goal of the project has been to develop a methodology that enables the generation of new data for the olive-growing and olive oil production industries, starting from early stages, using predictive models supported by artificial intelligence trained on spectral databases.
To this end, a model for predicting yield and quality has been developed, as well as a decision-support tool for determining the optimal harvest date based on the olive tree’s maximum production potential, supported by satellite monitoring tools and the development of transformation models.
Participating entities
Benefits
The goal of the project has been to develop a methodology that enables the generation of new data for the olive-growing and olive oil milling industries, starting from early stages, using predictive models supported by artificial intelligence trained on spectral databases.
To this end, a model for predicting yield and quality has been developed, as well as a decision-support tool for determining the optimal harvest date based on the olive tree’s maximum production potential, supported by satellite monitoring tools and the creation of transformation models.