Introducing AtlasAI

AtlasAI Satellite

The MIICT is as pleased as it is honoured to announce the initiation of a new ground-breaking Artificial Intelligence (AI) project that will leverage Sentinel2 satellite imagery to accurately estimate crop growth, identify crop types as well as to predict yield in agricultural fields. We have called this project “AtlasAI”. In Greek mythology, Atlas was a Titan who was condemned to hold up the celestial heavens for eternity. By naming the project AtlasAI, we hope to be able to evoke the idea of having a comprehensive view of the world, much like Atlas did, while also highlighting the AI component of the project. This name effectively captures the global scope and powerful capabilities of the project, in our opinion, making it a fitting choice. This innovative project is a separate sub-project of Project CERES and is currently at the conceptual stage. Its successful implementation has the potential to significantly impact global agriculture and food security.

Harnessing the power of AI and satellite imagery, the project aims to offer insights into the growth and health of specific crops. This information will enable farmers, agronomists and policymakers to make data-driven decisions, optimise resource allocation and ultimately increase crop yields. It will also feed Project CERES’s Proof of Location algorithm thereby adding another layer of security to Project CERES’s denomination of origin certification system.

The salient features of this AI Computer Vision project include:

Utilisation of Sentinel2 Satellite Imagery: The project will make use of high-resolution, multispectral images provided by the Sentinel2 satellite system, offering detail and accuracy in monitoring crop growth and health;

Advanced AI Algorithms: The project will leverage state-of-the-art AI algorithms to analyse and process the satellite imagery, identifying patterns and trends that will allow for accurate crop type identification and yield estimation;

Adaptive Learning: As the AI system processes more data over time, it will continuously refine its models and improve its accuracy, enabling it to stay up-to-date with the latest agricultural practices and technology.

Accessible Data Visualisation: The project will feature an intuitive data visualization platform, allowing users to easily access and interpret the AI-generated insights for their specific needs.

Global Reach: By utilising satellite imagery, this AI project has the potential to benefit farmers and policymakers in various regions across the globe, promoting sustainable agricultural practices and ensuring food security for all.

The MIICT is committed to leveraging advanced technology to address pressing global challenges. With the initiation of this AI project, the MIICT aims to revolutionise further agricultural monitoring and decision-making, ultimately contributing to a more sustainable and food-secure world.

For more information about the project, please contact us.

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Bernard Mallia

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