AI4RealAg

A need felt around the world is to increase agricultural production sustainably and use resources efficiently and in a balanced way.
A need felt around the world is to increase agricultural production sustainably and use resources efficiently and in a balanced way.
Beyond Vision's Projects AI4RealAg

AI4RealAg

About the Project

Artificial Intelligence and Data Science solutions for the implementation and democratization of digital agriculture with AI4RealAg. A significant endeavor dedicated to meeting the global need for sustainable agricultural production and resource-efficient, balanced utilization.

This project, under the code LISBOA-01-0247-FEDER-069670 and POCI-01-0247-FEDER-069670, embodies the core aim of enhancing research, technological development, and innovation. Focused on the regions of Lisboa, Center, and Alentejo, it brings together key beneficiary entities, including SISCOG – Sistemas Cognitivos, S.A., Beyond Vision – Sistemas Móveis Autónomos de Realidade Aumentada, Lda, and the Instituto Nacional de Investigação Agrária e Veterinária, I.P.

Approved on May 24, 2021, this project commenced on September 1, 2020, and is slated for completion on June 30, 2023. With a total eligible cost of 2,661,843.68 Euros, it benefits from significant financial support of 1,562,945.17 Euros from the European Union’s European Regional Development Fund, paving the way for innovative Artificial Intelligence and Data Science solutions to drive the implementation and democratization of digital agriculture through AI4RealAg.

Goals, activities and expected results

The research project was developed by a consortium composed of SISCOG, INIAV, and Beyond Vision. It is the aim of AI4RealAg to increase agricultural production and quality, ensuring a positive impact on agricultural and environmental sustainability.

Develop AI and Data Science

Develop Artificial Intelligence (AI) and Data Science models that, through the analysis of large volumes of data, enable to uncover hidden knowledge from data, such as patterns, trends and correlations, which support smarter decision-making, as well as preparation of forecasts

Advanced Sensing Solutions

In order to ensure AI4RealAg produces the best quality result, we developed a comprehensive solution that combines remote multispectral, thermal, 4K, 360º, and LiDAR sensing. By exploring larger drone payloads, we aim to enhance data quality, which in turn feeds our AI and Data Science models for advanced agricultural analysis.

The project addresses six topics

phenological states

Characterization of the phenological states of cultures

cultural coefficients

Determination of cultural coefficients

water stress

Estimation of the intensity of water stress;

nutritional status

Diagnosis of nutritional status

detection of diseases

Health diagnosis for early detection of diseases

phenotyping platform

Development of an advanced phenotyping platform

It will be tested and validated in three agricultural sectors:

Fruit trees orchards

Vineyard

Olive groves

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