Crop Health Status Monitoring

Harvest Timing Recognition and Alert

Real-time analysis of crop growth status predicts the optimal harvest time,
and providing automatic alerts to farmers prevents missing the right timing and maximizes productivity.

Early Detection of Pest and Disease Outbreaks

Automatic identification of leaf color changes, spot formation, and pest patterns
quickly detects early signs of pests and diseases and minimizes damage spread.

Commercial Quality Degradation Detection

Automatic detection of quality degradation factors such as external damage, abnormal growth, and discoloration
improves the efficiency of product sorting and consistently maintains shipping quality standards.

The Process of Turning a Regular Camera into an AI Camera in Just 5 Minutes!

Step 1

Target Image Learning

To train the object to be detected,
select the desired area from the image.

Step 2

Detection Scenario Configuration

Easily input detection conditions based on the learned target
using prompts.
Example: "Detect oranges with poor commercial quality or stains"

Step 3

Result Check & Optimization

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

Early Response to Crop Growth Issues

Pest spread, missing the harvest window, and quality degradation are directly linked to agricultural profitability.
EVA continuously monitors crop growth data,
aiding farmers in rapid decision-making and ensuring a stable production environment.

Expansion to Agricultural Automation Control

EVA can integrate with irrigation systems, temperature/humidity control devices, and more,
performing automatic pest control and environmental adjustments when growth issues occur.
This enables Intelligent Smart Farm Operation.