The integration of advanced technologies in agriculture is revolutionizing crop monitoring and management practices, enhancing efficiency and sustainability. The aim of this work is to examine the combined use of Internet of Things sensor technology, Unmanned Aerial Vehicle drones, digital twins and metrology principles applied to precision agriculture and smart farms and to create a theoretical framework that combines all the new advanced technologies. Internet of Things sensors enable real-Time monitoring of environmental and agronomic parameters while Unmanned Aerial Vehicle drones provide highresolution data for crop analysis and optimized interventions. Metrology ensures the reliability of collected data through calibration and validation processes. This paper explores both the recent and state-of-The-Art of these technologies assembling them into a novel framework, underlining key challenges and future perspectives for a more intelligent and data-driven agriculture.

Reconstructing Agricultural Environments: Smart Farm Development Through Metrology, AI and Remote Sensing

Vocaturo, Eugenio
;
Zumpano, Ester
2025

Abstract

The integration of advanced technologies in agriculture is revolutionizing crop monitoring and management practices, enhancing efficiency and sustainability. The aim of this work is to examine the combined use of Internet of Things sensor technology, Unmanned Aerial Vehicle drones, digital twins and metrology principles applied to precision agriculture and smart farms and to create a theoretical framework that combines all the new advanced technologies. Internet of Things sensors enable real-Time monitoring of environmental and agronomic parameters while Unmanned Aerial Vehicle drones provide highresolution data for crop analysis and optimized interventions. Metrology ensures the reliability of collected data through calibration and validation processes. This paper explores both the recent and state-of-The-Art of these technologies assembling them into a novel framework, underlining key challenges and future perspectives for a more intelligent and data-driven agriculture.
2025
Istituto di Nanotecnologia - NANOTEC - Sede Secondaria Rende (CS)
Agriculture
Digital Twins
IoT
metrology
remote sensing
Smart Farm
UAV drones
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/554360
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