Inspiration
Irrigation is responsible for the consumption of 70 percent of the world’s total water withdrawal, and 60% of the water diverted or pumped for irrigation is wasted. Not only would more efficient irrigation increase global water availability, but also it would reduce soil erosion and lead to an increase in more diverse agricultural yields.
What it does
No Rain, No Gain reduces over-irrigation by providing accurate recommendations for daily irrigation based on water needs of individual crops and daily rainfall data.
How we built it
Our project is built on the Django web application framework. Weather data is provided by the WeatherSource API.
Challenges we ran into
The initial configuration of Django gave us some trouble, particularly with installing the various Python dependencies required to make it functional. We also struggled with uploading the project to Google Cloud, an issue which we hope to resolve soon.
Accomplishments that we're proud of
We are proud that we were able to build a functioning web application in the limited time available at the hackathon. We are also proud that we were able to develop an innovative solution to a real-world problem.
What we learned
During this project, we learned how to develop and deploy a web application using Django.
What's next for No Rain, No Gain
In the future, we would like to improve the accuracy of our irrigation data, and the number of crops supported by the system.
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