Precision agriculture, also known as precision farming, is a management strategy that gathers, processes and analyses temporal, spatial and individual data to manage variability in agricultural fields. By supporting informed decisions and precise machine actions, it enhances resource-use efficiency, productivity, quality and sustainability in agricultural production.

Precision agriculture brings together satellite imagery, sensors, soil data, artificial intelligence and farm machinery within a single management approach. As a result, research on the topic appears across diverse fields from crop science and geospatial analysis to robotics and sustainability studies. When terminology varies across disciplines or languages, related research can become difficult to locate, compare or connect, limiting its full potential for knowledge exchange and innovation.

AGROVOC addresses this challenge by providing a structured, multilingual concept for precision agriculture, ensuring that research outputs are indexed consistently and remain discoverable across languages and systems. This supports better knowledge organization, comparison of findings and integration of data within the broader agri-food research landscape.

Explore the concept in AGROVOC to discover its definition, related terms and connections and continue exploring other key concepts shaping the future of agri-food systems.