Environmental Monitoring & Smart Agriculture
In Environmental Monitoring and Smart Agriculture, the Laboratory develops integrated systems for monitoring, analyzing, and managing environmental and agricultural parameters using sensor technologies, the Internet of Things (IoT), geospatial data, and artificial intelligence. The research aims to optimize natural-resource management, support sustainable agricultural practices, and develop early-warning and decision-support systems.
Priority is given on collecting and analyzing data from environmental and agricultural sensors to monitor physicochemical and microclimatic parameters such as temperature, humidity, pH, conductivity, soil moisture, and other indicators associated with crop development and environmental conditions. The research activities include the development of smart sensor networks and real-time remote-monitoring systems.
In parallel, the Laboratory develops smart-agriculture applications using remote-sensing data, multispectral imaging, and unmanned aerial vehicles (UAVs/drones) to map and assess crops and environmental conditions. The research includes the development of methodologies for evaluating vegetation status, detecting stress factors, and optimizing agricultural interventions based on field data and imaging information.
A significant part of the activities also concerns the development of computational tools and artificial intelligence models for processing and interpreting large volumes of environmental and agricultural data. These approaches are used to predict cultivation conditions, identify patterns, support decision-making, and develop automated or semi-automated management systems.
The research activities are supported by experience in developing pilot applications and integrated environmental-monitoring and smart-agriculture platforms that combine field sensors, IoT technologies, drones, and data-analysis tools. The research aims to develop innovative technological solutions for the sustainable management of agricultural and environmental systems.