Precision Agriculture · Seosan

Turn your field into
decisions before the season turns.

Upload an image or video of your farm. AgriVision's computer-vision engine reads field size, crop health, water distribution, disease and yield — then writes the report for you.

NDVI healthWeed patchesYield forecastOrthomosaic
Farm AI AnalyzerLive
Sample · Seosan Farm 04Analyzed
Field size
1.82 ha
Crop health
87 /100
Est. yield
6.4 t
2 weed patchesEven canopyDrainage nominal

Mission

Project AgriVision modernizes agricultural resource management in Seosan by building a data-driven monitoring and decision-support system for regional farms. Climate variability, rising input costs, an aging farming population and inefficient resource allocation all press on Korean agriculture, yet precision-agriculture tools remain underused at the regional level.

The problem

Most regional farms in Seosan have no structured system for real-time crop health monitoring, precise water-use analysis, early detection of disease or nutrient deficiency, data-driven yield forecasting, or region-level analytics. Farmers rely on manual observation and reactive intervention. At the governance level, thin data aggregation limits policymakers' ability to evaluate performance patterns or design targeted support.