Smart farm predictive management system
• Advanced AI-based environmental prediction function
- Development of farm environment prediction and pest progression prediction and diagnosis
• Development of a pest management system (implementation of local pest monitoring system and management functions)
- Diagnose diseases immediately, provide information on disease outbreaks, and suggest action plans appropriate for the disease.
• Linked with the control system to manage local diseases and notify nearby farms of disease outbreaks and take precautions

Main functions
1) Edge-based pest detection function
• Detection of pests and diseases on crop leaves using edge-based cell phone cameras
• Capable of detecting leaf mold disease, yellow leaf curl virus, American leaf fly pest, blue bug pest, spot disease, powdery mildew, canker disease, and rot virus based on tomatoes.
• Pest detection model learning accuracy over 94%

2) AI-based environmental data prediction
• Smart farm/facility horticulture farm environment prediction based on AI technology
• Professional analysis of farm environmental data by crop
• Prediction of pest and disease outbreaks through farm environment prediction
• Providing reports such as professional cultivation consulting

3) AI-based bee activity data management
• AI technology-based smart farm/facility horticulture bee activity data collection
• Analysis of bee environmental data by farm
• Provides the amount of bee activity by time zone / activity amount by male and female.
• Monitoring the activity of bees, which are essential for crop fertilization

4) Real-time agricultural data analysis
• Smart farm/facility horticulture farm environment data provided
• Farm environmental judgment analysis focusing on crop production increase activities
• Real-time environment recommendation and precise control decision analysis
• Provides reports on the environment of my farm today and the predicted environment for tomorrow
• Predict disease progression and provide appropriate action plan notifications