To tackle the problem raised in agriculture because of climate change , our system uses NASA open source data and trained AI model predicts the future temperature and precipitation . This way farmers can cultivate the crops as per the predicted climate(Season). Besides this to tackle the problem of lack of PH test and expert guidance we have implemented chat service with our agriculture experts and PH test request .Also , we have on market demand crops and brief description of any specific crop grown in that locality . In our model we have only implemented the data of Kathmandu district .
Since, Nepal is an agricultural country if technology and agriculture are put together , our team believe that the crops production rate will drastically increase . In this period of pandemic high production of crops in local level could be the potential solution to tackle the food crisis . This was our main inspiration to choose this challenge .
First we imported the open source data from NASA , After data cleaning , pre -processing and analyzing to understand the Data. we did visualization of the data using Seaborn , Plotly . Then we implemented Random Forest Regressor on the top of pre- processed data to predict future temperature and precipitation . We used python to make a backend server and a RestAPI using Django . so , that anyone with the valid authentication can use our prediction . Using this feature we have developed web app using HTML and Mobile App using flutter SDK .
We had some trouble to get the higher accuracy on trained model and some specific details on few crops were not available .
https://drive.google.com/open?id=1AFHHOkvcA1_wG3dlZf1dXJETG0SvVAN7