Consider a deep learning model trained on satellite imagery to detect flowering stage in millet using NDVI values. If NDVI thresholds are set at 0.4–0.65 for flowering, and 5000 image tiles show 67% in this range, estimate area under flowering (in ha) for a total scanned area of 1200 ha. Evaluate the accuracy if model precision is 92%.