AASTU • Capstone Project • Group 78

AgriTech Intelligence

Pioneering IoT-Based Food Preservation and Automatic Humidity Control.

The Challenge

In Ethiopia, harvested crops like teff, corn, and wheat often degrade in conventional storage due to undetected temperature and moisture fluctuations.

Current storage methods are less accurate and efficient, leading to post-harvest losses.

Problem Statement

Post-Harvest Losses

Lack of adequate environmental control leads to spoilage. Our challenge is to replace simple, manual storage with an intelligent, automated system capable of maintaining optimal conditions autonomously.

Our Methodology

Automated Regulation

We utilize sensors and microcontrollers to continuously monitor environmental factors.

The Solution

A smart storage system that processes sensor data via Arduino/ESP32.

System Features

Real-time Monitoring

Automated Control

Inventory Management

Energy Efficient

About Our Project

This project proposes the design and implementation of an Automatic Humidity Regulation System.

Project Objectives

  • Monitor Continuously

  • Automated Control

  • Enhance Traceability

  • Scalable Adoption