Forecasting and monitoring algorithm for timber production

Category National
Sectors Forestry, Industry 4.0
Execution Period 2023 – 2024
Funding MINCONTUR - Support Programme for Digital Innovation Hubs (PADIH)


The objective of this project is to create a prototype algorithm that, through the use of artificial intelligence and machine learning techniques, can make predictions and track wood production in different Plafor plots.

Regression algorithms are considered for estimating timber volume and forest mass, leveraging relationships and patterns that can be found between input and output variables. These algorithms can be fine-tuned or modeled using deep learning techniques, such as deep neural networks, capable of processing large amounts of data and learning autonomously.


Plafor, Instituto Tecnológico de Galicia (ITG)

Related projects


Stock Prediction and Management Algorithm


Enabling technologies for air transport logistics units