AI-Powered Intelligence
Machine learning supports yield prediction, pattern recognition, and smarter data interpretation.
Final Year Research Project
AloeGreen for smarter Aloe vera cultivation.
AloeGreen is a research-backed AI-IoT Smart Agriculture platform created specifically for Aloe vera cultivation. It integrates real-time monitoring, intelligent prediction, environmental forecasting, disease awareness, fertilizer guidance, and market insight within one crop-specific ecosystem.
5Main Modules
AIPrediction Support
IoTReal-Time Monitoring
MobileField-Ready Access
Project Introduction
General Introduction
AloeGreen is proposed as both an academic research outcome and a practical smart agriculture product concept. The platform connects IoT sensing, AI analytics, and mobile accessibility to support better cultivation decisions for Aloe vera through one integrated workflow.
Connected Sensing
ESP32-based devices and field sensors capture environmental and cultivation data for monitoring and analysis.
Accessible Delivery
A mobile-oriented interface helps turn model outputs and sensor readings into practical user support.
Quick Module Highlights
Each module contributes to a complete crop-specific smart agriculture workflow.
Yield Prediction
Forecast Aloe vera yield using structured agricultural and environmental data. XGBoost produced the strongest yield-prediction performance in model comparisons.
Environmental Forecasting
Support planning with weather-aware intelligence that helps users anticipate short-term field conditions.
Disease Detection
Provide image-based disease awareness to support earlier recognition of cultivation issues.
Fertilizer Recommendation
Guide nutrient decisions using crop and soil-related inputs for more informed resource management.
Price Forecasting
Extend platform value beyond cultivation by supporting market-aware planning and economic visibility.
Integrated Platform
Bring monitoring, analytics, recommendations, and forecasting together rather than relying on isolated tools.
Research & Product Perspective
AloeGreen as a Research-Driven Platform
The project is positioned as a unified AI-IoT platform that addresses the research gap created by fragmented agricultural tools. It aims to demonstrate how crop-specific system design can turn sensing, forecasting, and predictive intelligence into a usable decision-support environment.
Read the full domain analysis →
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