https://github.com/m-rishab/cropcare

A solution for intelligent and simplified agriculture.
https://github.com/m-rishab/cropcare

cnn deeplearning flask kaggle-dataset python3 pytorch resnet-50 tensorflow weather-api

Last synced: 2 months ago
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A solution for intelligent and simplified agriculture.

• Host: GitHub
• URL: https://github.com/m-rishab/cropcare
• Owner: m-rishab
• License: apache-2.0
• Created: 2023-11-25T07:07:23.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-01-12T07:04:04.000Z (about 1 year ago)
• Last Synced: 2024-01-29T08:47:50.838Z (12 months ago)
• Topics: cnn, deeplearning, flask, kaggle-dataset, python3, pytorch, resnet-50, tensorflow, weather-api
• Language: Jupyter Notebook
• Homepage:
• Size: 9.65 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# CropCare Project

CropCare is an innovative agricultural project designed to address critical challenges in modern farming. Leveraging advanced technologies for precision farming, the system comprises three essential components: Crop Recommendation, Fertilizer Recommendation, and Plant Disease Detection. The primary objective is to empower farmers with data-driven insights and smart solutions to optimize crop yield, reduce resource wastage, and enhance overall farm productivity.

## Components

1. **Crop Recommendation:** Provides personalized recommendations for suitable crops based on various factors, aiding farmers in making informed planting decisions.

2. **Fertilizer Recommendation:** Offers precise recommendations for fertilizers tailored to the specific needs of crops, ensuring efficient resource utilization.

3. **Plant Disease Detection:** Utilizes advanced technology to identify and diagnose plant diseases, enabling early intervention and minimizing crop damage.

## Data Flow Diagram



## System Design

### Crop Recommendation



### Fertilizer Recommendation



### Plant Disease Detection



## Test Dataset (For Plant Disease)

[https://drive.google.com/drive/folders/1z_S7CJ80B3NKQ35hwfNLCNWfrXFX4cyK?usp=sharing]

## OpenWeatherMap API Integration

![Weather API](https://github.com/m-rishab/CropCare/assets/113618652/237c2f21-56bd-4c26-990c-da9a7ef2a9b1)

## Demo

## *DEMO-1 ( Crop Recommendation)*

![6057ce8f-c16b-4f53-b58a-a13c4efdc427](https://github.com/m-rishab/CropCare/assets/113618652/6bd2e7db-a90d-4239-aa3f-2605cd4fffea)

## *DEMO-2 ( Fertilier Recommendation)*

![c26f867d-b362-4c89-9122-7d94bc4ec7a4](https://github.com/m-rishab/CropCare/assets/113618652/8e89b30e-8ac3-4e14-a7a7-dd4458e2f752)

# *DEMO-3 (Plant-Disease Detection & Classification)*

![7c121e6c-80fe-483c-8f1d-d7e0a3ac604f](https://github.com/m-rishab/CropCare/assets/113618652/5c5a3d30-bcd7-4159-a0db-8da396b3e26e)

## How to Run

To run the code, use the following command:

```bash

python app.py

or

flask run