New, cost-effective tools such as drones, IoT devices, and miniature optical technologies are rapidly evolving and becoming viable alternatives to more expensive conventional approaches. We are developing cutting-edge, all-in-one sensing technologies to monitor and assess various chemical and biological elements, enabling targeted actions across the entire food production process—from soil improvement to addressing food safety concerns.
The rapidly growing space industry has launched a multitude of Earth monitoring satellites, generating vast amounts of Big Data. At FOUR, we merge this data with local and ground-level observations to create solutions that enable a deeper understanding of our planet. Through the application of interpretable Artificial Intelligence (AI) techniques, we extract meaningful insights from the varied Earth Observation datasets. The explainability of our models not only aids analysts in grasping their functioning but also mitigates biases and inaccuracies, builds trust in the results by clarifying decision-making processes, enhances adaptability in new contexts, and fosters greater adoption and integration of AI technologies.
Our team is dedicated to providing cutting-edge, integrated solutions and ecosystem services for the sustainable management of natural resources, environmental conservation, and food security. The primary aim is to generate ready-to-analyze data for various environmental metrics that support sustainable development at local, regional, and global levels. To achieve this, and taking advantage of the new era of Earth Observation satellites that provide vast amounts of open and freely accessible data, we offer a robust digital infrastructure for automating the processes of data acquisition, storage, management, and analysis. Our digital pipeline utilizes readily accessible geospatial data from a range of sensors (such as hyperspectral, multispectral, and radar) and, in combination with advanced modeling methods and physics-based models, adopts a hybrid approach to deliver high-resolution ecosystem services tailored to user needs.
The push towards modernizing and digitizing both soil and food science, using sustainable and cost-effective analysis methods, has positioned spectroscopy at the forefront of these efforts. Its non-destructive nature and proven reliability in assessing soil and food properties have garnered significant attention from the research community, with ongoing progress in quantitative spectroscopy to predict these characteristics. Recent breakthroughs in the photonics industry, particularly the utilization of miniaturized spectroradiometers with high signal-to-noise ratios that can be mounted on various platforms, open up new opportunities for innovative services that integrate multiple sensors.
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