AI-Integrated Solar Dryer

Overview

The system monitors temperature and humidity, then uses AI-based analysis to help optimise drying conditions for agricultural products.

Problem

Traditional drying can be inconsistent because temperature and humidity change throughout the process.

Solution

A monitored solar-drying system that analyses environmental conditions and supports better drying decisions.

How it works

1. Capture temperature and humidity readings
2. Analyse environmental conditions
3. Estimate drying performance
4. Support adjustments to improve efficiency

Key features

• Environmental monitoring
• AI-based analysis
• Solar energy use
• Agricultural process optimisation

System architecture

Data sources → processing and analysis → evidence correlation → confidence model → investigation interface.

Challenges

Turning changing environmental readings into useful and reliable process guidance.

What I learned

AI is most valuable when it turns sensor data into clear, practical decisions.

Future improvements

Add crop-specific models and validate performance across seasonal conditions.