ADL is an innovative SME based in Turkey, specializing in advanced Geographic Information Systems (GIS), satellite imagery processing, and Artificial Intelligence (AI). Our primary expertise lies in developing and deploying large-scale remote monitoring and Earth Observation (EO) technologies.
We have extensive experience in building functional, non-invasive remote tracking infrastructures. By leveraging multispectral satellite data and proprietary AI algorithms, we specialize in remote crop health monitoring, large-scale plant stress mapping, and the early detection of agricultural anomalies (such as fungal or bacterial diseases). Furthermore, our AI-powered predictive models integrate meteorological and satellite data to provide hyperlocal forecasting and early warning systems.
As a technology provider, we bring scalable, cost-effective, and highly adaptable digital remote sensing solutions to international consortia. Our ready-to-use decision support systems seamlessly transform complex space data into actionable, real-time insights.
Remote Sensing, Earth Observation, Artificial Intelligence (AI), Plant Disease Detection, Crop Stress, Topic 2.2.1, Early Warning System, Precision Agriculture, SME, Satellite Imagery, Hyperlocal Forecasting.
For PRIMA Section 2 (Topic 2.2.1), ADL (SME from Turkey) is looking to join a consortium as a technology provider.
What we propose: We offer a functional, non-invasive remote monitoring infrastructure based on Earth Observation (EO) and AI. Our system utilizes multispectral satellite imagery to detect early signs of plant diseases (fungal/bacterial), map large-scale crop stress (e.g., NDVI anomalies), and provide hyperlocal forecasting for early warning systems.
What we are looking for: We are seeking partners (universities, research institutes, or other companies) from the Mediterranean basin who can provide:
Agronomic expertise and ground-truth data for model calibration.
Pilot sites (orchards, vineyards, or open-field arable crops) for testing.
Project coordination or complementary digital tools (e.g., in-field sensors, digital twins).
