Research

Innovation Through Pioneering Research

Peer-reviewed publications, top university collaborations, and open research.

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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.

2025

Agricultural AI Journal

Citations: 45
Downloads: 1250

Deep Learning for Rice Disease Detection: A Vietnamese Case Study

Dr. Nguyen Van A, Dr. Tran Thi B, Vinimex AI Lab Team

We present a novel deep learning approach for detecting rice diseases using smartphone images, achieving 94.2% accuracy across 12 common diseases in Vietnam.

2024

Remote Sensing in Agriculture

Citations: 32
Downloads: 890

Satellite-Based Crop Yield Prediction Using Ensemble Methods

Vinimex AI Lab Team, VNUA Research Group

This paper explores the use of multi-temporal satellite imagery combined with weather data to predict crop yields with 89% accuracy.

2024

Computational Linguistics

Citations: 28
Downloads: 720

Natural Language Processing for Vietnamese Agricultural Queries

Dr. Le Van C, Vinimex AI Lab Team

We develop a specialized NLP model for understanding agricultural queries in Vietnamese, handling regional dialects and technical terminology.

Research Partners

VNUA
Vietnam National University of Agriculture
MDRI
Mekong Delta Research Institute
CTU
Can Tho University AI Lab
HCMUT
Ho Chi Minh City University of Technology

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