https://github.com/tanujdargan/driposh_shishackathon

https://github.com/tanujdargan/driposh_shishackathon

Last synced: about 2 months ago
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• Host: GitHub
• URL: https://github.com/tanujdargan/driposh_shishackathon
• Owner: tanujdargan
• Created: 2022-03-04T04:59:52.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-03-11T05:52:22.000Z (almost 3 years ago)
• Last Synced: 2024-06-08T04:48:29.823Z (7 months ago)
• Language: Jupyter Notebook
• Size: 45.7 MB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        


Drip irrigation is a highly efficient yet financially burdening method of watering and growing crops

or plants. The high costs arise with water pressure distribution systems, timers, and

pumps. While it is an efficient method of watering crop, we believe we can improve upon it. Drip

Irrigations cuts down on water usage by approximately 70% when compared to sprinkler systems.

The problem arises when weather conditions change and soil moisture is not kept in mind while

watering these plants or crops. Another problem that arises with normal drip irrigation systems

is maintenance and its high operational cost. To reduce water wastage even further we can use data

collected from sensors such as the soil

moisture level, temperature and humidity. This data along with weather forecast predictions of the

next 3 days can help us predict and plan a more sustainable and lesser wastage solution. Our

system, uses a combination of all these data points and generates a set of instructions for the

irrigation system. It replaces the timer from the equation and adds our own module. Our drip irrigation

system comprises of multiple circuits and sensors. The sensors collect data like the

humidity and the temperature of the atmosphere along with measuring the amount of moisture in the soil.

#### [Prototyping & Testing + Circuit Walkthrough Video](https://youtu.be/ZgG6TIIKjec)

#### [AWS Documentation](https://docs.aws.amazon.com/toolkit-for-vscode/latest/userguide/aws-tookit-vscode-ug.pdf)

#### [AWS Event Driven Architecture](https://aws.amazon.com/event-driven-architecture/)

#### [Python 3.10.2](https://docs.python.org/3/)

#### [Machine Learning Model](https://github.com/tanujdargan/driposh_shishackathon)

#### [Website Design](https://github.com/tanujdargan/driposh_shishackathon/blob/main/Assets/Team_Z3R0_Website.pdf)

# Highlights

- Efficient Irrigation.

- Cloud Computing Integration.

- Weather Forecast Based Predictions.

- Integrates with Pre-existing Drip Irrigation System.

- Low Cost Components.

# Circuit Diagrams

### Rapsberry Pi 4B Pin Diagram




### Raspberry Pi 4B Circuit Diagram




### Arduino Circuit Diagram



# Parts

- Arduino UNO R3

- DHT11 Temperature and Humidity Sensor

- LiquidCrystalDisplay 16x2 + Potentiometer

- Soil Moisture Sensor

- Ultrasonic Sensor




























# Data Flow Diagram




# System Flow Chart




# DHT 11 Temperature Sensor Casing




# Raspberry Pi 4B Casing







# LDR Casing




# Soil Moisture Sensor Casing







# Raspberry Pi Camera Back Casing




# Raspberry Pi Camera Front Casing




# Citations

- https://www.fao.org/india/fao-in-india/india-at-a-glance/en/


- https://www.raspberrypi.com/software/raspberry-pi-desktop/


- https://www.circuito.io/app?components=9443,13322,35286,200000,963780


- https://www.raspberrypi.com/documentation/computers/os.html


- https://raspberrypi.stackexchange.com/questions/344/emulation-on-a-windows-pc


- https://docs.python.org/3/