AI4RealAg
About the *project.*
AI4RealAg is a significant endeavor dedicated to meeting the global need for sustainable agricultural production and resource-efficient, balanced use, through Artificial Intelligence and Data Science solutions that implement and democratize digital agriculture.
This project aims to strengthen research, technological development, and innovation, ensuring a positive impact on agricultural and environmental sustainability.
Focused on the regions of Lisboa, Center, and Alentejo, it brings together key beneficiary entities, including SISCOG – Sistemas Cognitivos, the Instituto Nacional de Investigação Agrária e Veterinária, and Beyond Vision.
Key *objectives.*
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
Beyond Vision's *role*.
Beyond Vision developed Artificial Intelligence (AI) and Data Science models that, by analyzing large volumes of data, uncover hidden knowledge such as patterns, trends, and correlations, supporting smarter decision-making and forecasting.
Additionally, to ensure AI4RealAg produces the best-quality results, Beyond Vision 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.