Livoa LogoLivoa
ANNONATION-FREE AGRICULTURAL COUNTING FRAMEWOORK


(CVPR 2026 Submission Ready)

Data Acquisition
UAV Drone (DJI) @ 15-25m altitude, RGB Imagery: 15000-3160px, 12MP Dataset: 469 images
Challenge: Non-green (burgundy, purple) plants
Classical Counting Pipeline
Step 1: Multi-Channel Color Segmentation
Step 2: Multi-Temporal Data Tuning and Stage Spot Sorting
Step 3: Iterative Object Fragmentation and Segmentation
CSIC Optimized Color Feature Extraction and Analysis
RGB Filter Network for Fine Texture and Scale Analysis
Plant Filtering and Quality Thresholding
FINAL COUNT: 1,624 plants (Example)
4 Metric Self-Validation Evaluation
CSC SVS AMI 4 Metrics
4-Metric Correlation Evaluation
COABE PASS (423 images) OXMRO Enlistings (223 images) Weighted Extrapolation (90 hrs - 70 min) All Metrics = Threshold? (CLIP visual features) DESFLY Autoreliability (10%) MANUAL REVIEW Required Weighted Extrapolation 83 hrs - 70 min
Benchmark Comparison - Biosecurity (Trained on bird video) - 7bs evaluation (6h/les - 70 min) KEY FINDING: Competitive performance without expensive annotations
YOUR METHOD (Classical CV) - No learning needed - 8 sorting needed - 5 segment - 5 sec/image - interpretable - interpretable
YOUR SAM2 (Deep Learning) - Active detectors - Vision-based feature extraction - Zoom Rate - 27.5s Scan - Auto complete - Frequent handling - Direct usage
VS
KEY FINDING: - JSSN Metrics per Image - Visualizations (7 Stages) - Aggregate Statistics Report - Pass/fail Deployment Decision - Production Deployment Package ready for PRODUCTION USE

cvpr

by Harshitha

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