Innovative sensors for environmental monitoring in agricultural and water use cases

We are pioneering new approaches to environmental monitoring by combining two key innovations:

• Low-cost, array-based sensors: We develop and integrate multi-element sensing technologies, such as compact spectrometers and gas sensor arrays, to capture rich environmental data at an affordable cost. These solutions provide enhanced spatial and temporal resolution compared to traditional sensors.

• Advanced AI-driven data modeling: We leverage machine learning and deep learning techniques to process and interpret complex sensor data. Our expertise in AI allows us to enhance sensor accuracy and extract meaningful insights from raw measurements.

Our goal is to bridge the gap between cost-effective sensing and high-quality environmental data. We have experience integrating these solutions into IoT ecosystems using open standards, ensuring interoperability and scalability. Our expertise extends from sensor design and prototyping to real-world deployments and data-driven decision support systems.

We are looking for partners to co-develop and validate these solutions in various domains, such as air quality monitoring, water quality assessment, and industrial emissions tracking. We are also interested in contributing to Horizon Europe projects focusing on environmental sustainability, smart territories, and AI for sensor data enhancement.