Project Context
In high-tech agriculture, monitoring crop growth and cattle health requires continuous and objective data. Relying solely on manual observation can easily lead to missing early warning signs such as disease, heat stress, reduced feeding, or abnormal behavioral changes.
Challenges
Highly variable outdoor environments
Lighting, weather conditions, camera angles, and occlusions
Measurable metrics are needed to support decision-making
Plant health, leaf abnormalities, vegetation density, and cattle behavior patterns
Notification
Timely alerts are required to notify operators when abnormal signs are detected.
VAON's Solution
VAON developed an AI-powered camera monitoring system:
Crop and vegetation monitoring
Analyze crop growth trends over time.
Detect abnormal surface conditions (wilting, yellowing leaves, sparse vegetation…).
Calculate vegetation quality and greenness indices by observation area to support care and maintenance evaluation.
Monitoring the health and behavior of Japanese cattle
Identify cattle by area and track behaviors such as eating, drinking, standing, lying down, and moving.
Detect abnormalities such as prolonged inactivity, excessive lying, isolation from the herd, and unusual movement.
Provide early alerts for intervention, enabling health checks, barn adjustments, and reduced disease risk.
Key Features
Daily/Weekly Dashboard: crop growth trends and cattle behavior metrics.
Custom threshold alerts (rules configurable by farm or barn zone).
Store event history with images/videos for traceability.
Value Delivered
Enhanced early detection, reducing potential damage and operational risks on farms.
Data-driven care operations (measure – monitor – improve).
Optimize monitoring staff while improving the quality of agricultural and livestock outputs.
