Smart Irrigation AI uses machine learning to predict optimal irrigation schedules. By combining historical weather data, soil moisture sensors, and crop-specific water requirements, the system recommends when and how much to water. Built on XGBoost models, it can reduce water usage by up to 30% while maintaining crop health.


AI-powered image recognition for detecting plant diseases using YOLOv8 and deep learning models

Intelligent agricultural advisory chatbot using Retrieval-Augmented Generation with Vietnamese knowledge base

Neo4j knowledge graph for Vietnamese agriculture containing crops, diseases, treatments, and farming practices