CropSort - Crop Sorting and Inventory Management System

CropSort is an innovative crop sorting system designed to sort and manage crops like Tomato, Chili, and Cucumber using a mobile application. Developed with React Native, Expo, ESP8266, TCS3200 Color Sensor, Load Cell technology, and Firebase, the system sorts crops into baskets based on color and monitors the weight of each basket in real time. Once a basket reaches 10kg, the system automatically updates the inventory. Additionally, the app supports crop orders, tracking the store's name and the quantity in kilograms for each order.

Features

• Crop Sorting: Sort crops into different baskets based on color. For tomatoes, sort them into 3 baskets depending on their color (green, yellow, or red).
• Color Detection: Uses the TCS3200 Color Sensor to identify crop color and assign them to specific baskets.
• Weight Monitoring: Monitors the weight of each basket using a Load Cell sensor. When a basket reaches 10kg, it is automatically added to the inventory.
• Real-Time Inventory Updates: Syncs data with Firebase for real-time updates on inventory and basket weight.
• Order Tracking: Manages orders of crops from stores, including the store's name and the amount of each crop ordered (in kilograms).
• Inventory Management: Automatically updates inventory as crops are sorted, and the weight is added once a basket reaches 10kg.
• User-Friendly Interface: Simple and intuitive interface for managing crop sorting, basket weight, inventory, and orders.

Installation

Prerequisites

Make sure the following tools are installed:

• Node.js (latest version)
• Expo CLI
• React Native
• Firebase Account (for real-time data storage and authentication)
• ESP8266 (for Wi-Fi connectivity)
• TCS3200 Color Sensor (for crop color detection)
• Load Cell (for weight monitoring)
• HX711 Amplifier (for interfacing Load Cell)
• Arduino IDE (for programming the ESP8266)

Steps

1. Clone the repository:

   git clone https://github.com/DevMike13/CropSort.git
   cd CropSort

2. Install dependencies:

   npm install

3. Install Expo CLI (if not already installed):

   npm install -g expo-cli

4. Set up Firebase:

   • Create a Firebase project and configure it in your app.
   • Get the Firebase config and add it to the firebaseConfig.js file in your project.

5. Program the ESP8266:

   • Use Arduino IDE to program the ESP8266 to read data from the TCS3200 Color Sensor and Load Cell.
   • Install necessary libraries such as ESP8266WiFi, FirebaseESP8266, HX711 for interfacing with the Load Cell, and TCS3200 for the color sensor.
   • After programming, upload the code to your ESP8266 to establish communication with the app and Firebase.

6. Run the application:

   npx expo start

7. Open the app in the Expo Go app on your phone, or use an Android/iOS emulator to run the app.

Usage

1. Select Crop: Choose the crop you want to sort (Tomato, Chili, or Cucumber).
2. Sort Crops by Color: The TCS3200 Color Sensor will automatically detect the color of each crop and assign it to a corresponding basket. For tomatoes, there are 3 baskets based on the color detected (e.g., green, yellow, and red).
3. Monitor Basket Weight: The Load Cell sensor monitors the weight of each basket in real time.
4. Inventory Update: Once the weight of any basket reaches 10kg, the system will automatically update the inventory in Firebase and reset the basket weight to zero.
5. Create Orders: The app allows users to create crop orders with the store's name and the quantity of the crop in kilograms.
6. View Orders: Orders are tracked in real time, showing the crop name, store, and order weight.
7. Review Inventory: View the complete inventory data in Firebase, which is updated each time a basket reaches 10kg.

Firebase Integration

The app uses Firebase for:

• Authentication: Secure user login and access.
• Real-Time Database: Storing and retrieving real-time data such as crop inventory, basket weight, sorting information, and crop orders.
• Inventory Updates: Automatically updates the inventory when the weight of a basket hits 10kg.
• Order Tracking: Allows users to create and view crop orders from stores, with the store name and the quantity of the crops in kilograms.

Real-Time Data

The app allows for real-time monitoring of the following:

• Basket Weight: Displays the current weight of each basket as crops are sorted into them.
• Inventory: View the total weight of crops added to the inventory after each basket reaches 10kg.
• Crop Orders: View real-time orders placed by stores with the crop name, store name, and order quantity in kilograms.

Technologies Used

• React Native: For building the cross-platform mobile app.
• Expo: For rapid development and testing.
• Firebase: For real-time database, authentication, and inventory/order management.
• ESP8266: For Wi-Fi communication between the app and sensors.
• TCS3200: For color sensing and crop sorting.
• Load Cell: For weight monitoring in each basket.
• HX711 Amplifier: For interfacing with the Load Cell.

Screenshots

Here’s how the CropSort app looks on mobile devices:

Prototype

Here’s some images of the CropSort sorting machine prototype: