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AI for Agriculture. Intelligence for Every Farm.
Service 03 • Agricultural Computer Vision & GrazeAI

Computer Vision for Livestock & Agriculture

Turn farm imagery and video streams into structured operational observations. We develop, fine-tune, and integrate object detection, posture classification, and video analytics models—anchored by our flagship GrazeAI livestock behavior engine.

GrazeAI Interactive Vision Sandbox • YOLO11s (best.pt)
Classes: 0: Eating | 1: Lying | 2: StandingLatency: Verified Baseline
Verified GrazeAI YOLO11s livestock behavior detection output showing bounding boxes and confidence scores on cattle
Showing verified YOLO11s (best.pt) detection output on sample cattle imagery. Upload your own livestock image to run live inference via POST /detect.5 boxes

Current Frame Behavior Classification

Output from the preserved POST /detect endpoint using trained YOLO11s weights.

Eating
0
Class 0
Lying
5
Class 1
Standing
0
Class 2
Historical Model Evaluation MetricsYOLO11s Validation Run
Precision
0.793
Recall
0.666
mAP@50
0.797
mAP@50–95
0.544

Technical Transparency Note: These figures reflect a specific historical validation dataset on our trained YOLO11s weights (best.pt), not guaranteed production accuracy across all farms. Real-world performance depends on camera placement, lighting, occlusion, and species, and typically requires site-specific validation.

Vision Engineering Capabilities

From Image Inference to Multi-Frame Video Analytics

Agricultural environments present challenging lighting, dust, occlusion, and camera angles. We build vision pipelines engineered specifically for field and barn realities.

VISION 01

Image Analysis & Object Detection

Localize animals, fruits, or field equipment in still photographs with bounding-box coordinates and confidence thresholds (e.g., YOLO11s).

VISION 02

Video Analysis & Temporal Smoothing

Process recorded MP4/AVI barn footage or frame samples with multi-frame track confirmation (Behavior Engine V3) to filter out single-frame flicker.

VISION 03

Behavioral & Posture Classification

Classify group livestock activity into Eating, Lying, and Standing states to establish baseline pen routines and investigate anomalies.

VISION 04

Custom Dataset Curation & Training

Collect, annotate, and train custom vision models for specific livestock breeds, poultry houses, or high-tunnel vegetable crops (cucumber, tomato).

VISION 05

Edge & Cloud Model Deployment

Deploy inference via FastAPI microservices (REST /detect & /detect-video) on cloud GPUs or local on-farm workstations.

VISION 06

Farm Software Integration

Store vision job outputs, annotated media, and behavioral summaries directly alongside herd health and feeding records in FarmOS.

Genuine GrazeAI Video Processing Snapshots

Actual frames captured from our local GrazeAI video detection pipeline (E:\practice\cow_detector_test.mp4).

Verified Local Model Output
GrazeAI video processing snapshot at 04:33
Video Frame Snapshot (04:33.800): Multi-animal detection and posture classification during yard observation.
GrazeAI video processing snapshot at 05:23
Video Frame Snapshot (05:23.800): Continuous frame sampling and bounding-box tracking across herd movement.
Project & Technical Feasibility Consultation

Plan a Computer Vision or GrazeAI Deployment

Tell us whether you want to evaluate GrazeAI on your livestock camera footage, integrate image analysis into an existing app, or train a custom agricultural vision model.

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