Precision agriculture
farming management strategy

Precision agriculture is a management strategy that gathers, processes and analyzes temporal, spatial and individual plant and animal data and combines it with other information to support management decisions according to estimated variability for improved resource use efficiency, productivity, quality, profitability and sustainability of agricultural production. It is used in both crop and livestock production.
A central component of implementing this strategy is the satellite monitoring of agricultural machinery, which forms the basis for modern farm fleet management. This is achieved through the use of fleet telematics systems, where vehicles are equipped with a GPS tracking unit and an onboard controller that transmits telemetry data—such as location, speed, engine hours, and fuel consumption—to a central server for analysis. This stream of real-time data allows for the automation of agricultural operations and provides critical insights for improving diagnosis and decision-making. Beyond machinery, precision agriculture also analyzes the spatial variability within fields, such as how terrain attributes (geomorphology) and soil properties affect crop growth and water distribution (hydrology).[] The goal of precision agriculture research is to define a decision support system for whole farm management with the goal of optimizing returns on inputs while preserving resources.
The practice of precision agriculture has been enabled by the advent of GPS and GNSS. The farmer's and/or researcher's ability to locate their precise position in a field allows for the creation of maps of the spatial variability of as many variables as can be measured (e.g. crop yield, terrain features/topography, organic matter content, moisture levels, nitrogen levels, pH, EC, Mg, K, and others). Similar data is collected by sensor arrays mounted on GPS-equipped combine harvesters. These arrays consist of real-time sensors that measure everything from chlorophyll levels to plant water status, along with multispectral imagery.
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Named sources, stable identifiers and responsible institutions provide the strongest route from overview to verifiable evidence. The source revision retrieved here is dated Sep 14, 2026. The linked authority identifier is Q740083. The Library of Congress control number is sh94009645. 1 of 1 selected statements include explicit references; 0 carry qualifiers and 0 use preferred rank.
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This entry incorporates text from “Precision agriculture” on English Wikipedia. Contributors are listed in the page history. Text is available under the Creative Commons Attribution-ShareAlike 4.0 License. Selected authority identifiers and statements are retrieved from Wikidata under CC0; their references and qualifiers remain part of the verification path.