Crop Health Monitoring

Harvest Timing Recognition & Notification

By analyzing crop growth status in real-time, it predicts the optimal harvest time and
provides automatic notifications to farmers, preventing missed harvest opportunities and maximizing productivity.

Early Detection of Pests and Diseases

Automatically identifies leaf color changes, spot occurrences, pest patterns, etc. to
quickly detect early signs of pests and diseases and minimize the spread of damage.

Detection of Marketability Degradation

Automatically detects quality degradation factors such as external damage, abnormal growth, and discoloration to
improve product selection efficiency and maintain consistent shipment quality standards.

Only 5 minutes to turn a normal camera into an AI camera! This is how it went.

Step 1

Target Image Learning

Select the desired area in the image to
learn the target to be detected.

Step 2

Setting Detection Scenarios

Easily enter detection conditions with prompts
based on the learned target.
e.g., "Detect oranges that have lost marketability or have spots"

Step 3

Check Results & Optimize

Check the learned target image and detection results, and modify targets and scenarios if necessary.

Early Response to Crop Growth Issues

Pest spread, missed harvest timing, and quality degradation are directly linked to agricultural profitability.
EVA continuously monitors crop growth data to
help farmers make rapid decisions and ensure a stable production environment.

Expansion to Agricultural Automation Control

EVA can be integrated with irrigation systems, temperature and humidity control devices, etc. to
perform automatic pest control and environmental control when growth problems occur.
This enables intelligent smart farm operation.