<p>Harvested sugar beets (<i>Beta vulgaris</i> L.) are stored in large outdoor piles for up to six months under highly variable winter temperatures (−&#xa0;30 to 20°C) in Western Canada. During storage, harvest heat accumulates within the pile, resulting in spoilage and sugar leaching before it is taken for processing. Forced aeration is commonly used to reduce the pile temperature; however, current industrial systems rely on sparse temperature monitoring (one sensor to control fan operation for every 4000 tons), which limits hotspot detection and efficient cooling. This study evaluated an energy-efficient wireless monitoring and automated aeration system incorporating multiple temperature sensors for improved pile conditioning in Alberta, Canada. Sixteen sensor cables, each equipped with four temperature sensors at multiple depths, were installed across four fan lines (4000 tons). Sensor data, along with ambient weather conditions, were transmitted to a cloud-based control platform to enable demand-driven automated fan operation. Sugar beet samples were collected before storage and before being taken to processing (after storage) to determine the sucrose and pH levels. The multiple sensor system successfully identified localized thermal hotspots that were undetectable by the conventional single sensor setups. Improved spatial temperature control resulted in enhanced preservation of sugar beet quality with higher retained sucrose content (0.2%) and pH (1.4 points) following storage compared to the existing aeration strategy. The results demonstrate that distributed sensing coupled with automated control significantly improves aeration efficiency and enhances beet quality. This approach provides a practical framework for optimizing large-scale outdoor sugar beet storage systems.</p>