AREEO
Explore AREEO's available technologies.
F. oxysporum as a biological control agent for soilborne wilt management
A research-based biological control solution using Fusarium oxysporum nonpathogenic strains to suppress vascular wilt caused by related pathogenic Fusarium strains in economically important crops.
Microencapsulation technology for caramel flavor protection in beverages
A microencapsulation solution using medium-chain triglyceride and maltodextrin coating materials with dual emulsifiers to protect caramel flavor in coffee-containing beverages. The technology employs response surface met...
IoT-based smart greenhouse monitoring and automation system
A cloud-connected IoT platform for real-time greenhouse monitoring and automated control of temperature, humidity, soil moisture, air quality, and lighting. Designed to optimize crop growth conditions, reduce manual labo...
Lysozyme as a high-intensity sweet protein for food applications
Exploration of lysozyme as a high-intensity sweet protein with enhanced thermal stability at low pH and water solubility, offering potential natural sweetening solutions for the food and beverage industry.
Entomopathogenic bacterium Bacillus thuringiensis for microbial pest control
Research on entomopathogenic bacterium Bacillus thuringiensis and related microbial species with specific toxins and virulence factors for agricultural pest control. The bacterium produces toxic parasporal crystal protei...
Post-emergence herbicide evaluation for multi-crop weed management
Evaluation of six new-generation post-emergence herbicides and ready-mix formulations for effective weed control across multiple crops. This research supports agricultural productivity by identifying optimal herbicide so...
Gut health benefits and applications of postbiotics for animal production
Research-driven insights into postbiotics — inanimate microorganisms and their components — as a stable, safer alternative to probiotics and antibiotics in animal production, with focus on gut health benefits and bioacti...
Hybrid MLR-ANN model for crop yield prediction
A hybrid machine learning model combining Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) for accurate crop yield prediction. By using MLR coefficients and bias to initialize the ANN input layer weig...
Ensemble machine learning methods for crop yield prediction using AdaSVM and AdaNaive
An enhanced crop yield prediction solution combining AdaBoost with Support Vector Machine (AdaSVM) and Naive Bayes (AdaNaive) ensemble methods. Validated on multiple crops including rice paddy, cotton, sugarcane, groundn...
Wireless IoT Sensors with AI Integration for Greenhouse Climate Management
AI-integrated wireless sensor and IoT platform for sustainable greenhouse production of fruits and vegetables. Combines WiFi and LoRa-based sensor nodes with crop growth models and knowledge-based decision support system...
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