Deep4Sat

In response to climate change and evolving regulations, orchard farmers and forest managers need to adopt innovative tools for timely intervention in disease control and plant anomaly detection. Monitoring the condition of trees plays a crucial role in disease management, preventing significant negative impacts on agricultural production, yield, and quality, thereby avoiding financial losses.

Traditional disease monitoring relies on human factors, which can be limited by factors such as difficult terrain, workforce availability, and lack of objectivity, especially during events like pandemics. Ground surveys also suffer from spatial limitations and subjectivity among assessors.

To address these challenges, there is a need for precision agriculture and forestry tools that use data from satellites and drones. These tools can provide a more extensive and objective view of tree health, enabling quicker response to issues like invasive species and pathogens.

The project's main objective is to develop a platform that utilizes satellite and drone data for monitoring tree type and condition. This platform aims to be commercialized and used by farming and forestry stakeholders in the EU, offering health inspection and early warning capabilities.

The ultimate goal is to streamline the process of generating tree information at regional and national scales, even for users without prior experience in satellite imagery and AI technologies. This approach seeks to reduce environmental impact by minimizing pesticide use and mitigating financial losses.