The digital transformation of agriculture and food systems increasingly relies on accurate, reliable, and timely measurements. Emerging sensor technologies, intelligent instrumentation, connected measurement systems, and advanced data-processing methods are enabling new approaches for monitoring crops, soil, water, livestock, food products, processing operations, and supply chains.
Recent developments include miniaturized and low-cost sensors, optical and imaging systems, proximal and remote sensing, multisensor platforms, IoT-enabled measurement systems, and artificial-intelligence-assisted data interpretation. These technologies support precision agriculture, resource optimization, crop and animal health monitoring, food-quality assessment, food-safety control, and improved management of the agri-food value chain.

However, moving from sensing to trustworthy quantitative information requires attention not only to the sensing technology itself, but also to measurement methodology, calibration, uncertainty, repeatability, sensor fusion, data quality, robustness, and validation under real operating conditions.

The proposed Special Session “Smart Agri-Food Sensing and Measurement Techniques” aims to bring together researchers, metrologists, engineers, agricultural scientists, food scientists, and industrial practitioners working on innovative measurement technologies for smart and sustainable agri-food systems.

Particular emphasis will be given to measurement principles and methodologies that transform sensor observations into reliable information for decision making, automation, quality assessment, and resource-efficient production.