Innovation Through Pioneering Research
Peer-reviewed publications, top university collaborations, and open research.
Research Areas
Computer Vision
Disease detection, crop monitoring, yield estimation
Natural Language Processing
Agricultural chatbots, knowledge extraction
Remote Sensing
Satellite imagery analysis, land use mapping
Predictive Analytics
Weather forecasting, market price prediction
Publications
Our peer-reviewed research papers.
Deep Learning for Rice Disease Detection: A Vietnamese Case Study
2025Dr. Nguyen Van A, Dr. Tran Thi B, Vinimex AI Lab Team
Agricultural AI Journal
We present a novel deep learning approach for detecting rice diseases using smartphone images, achieving 94.2% accuracy across 12 common diseases in Vietnam.
Satellite-Based Crop Yield Prediction Using Ensemble Methods
2024Vinimex AI Lab Team, VNUA Research Group
Remote Sensing in Agriculture
This paper explores the use of multi-temporal satellite imagery combined with weather data to predict crop yields with 89% accuracy.
Natural Language Processing for Vietnamese Agricultural Queries
2024Dr. Le Van C, Vinimex AI Lab Team
Computational Linguistics
We develop a specialized NLP model for understanding agricultural queries in Vietnamese, handling regional dialects and technical terminology.
Research Partners
Vietnam National University of Agriculture
Mekong Delta Research Institute
Can Tho University AI Lab
Ho Chi Minh City University of Technology
Interested in Collaboration?
We're always looking for research partners and exceptional talent.