Kisan Kalyan | Farmer Welfare

The basic concept of this app is to provide all services related to farming under one roof.

This app is Analyzing & finding pattern of past years data using concepts such as Big Data, Hadoop & R programming. The analysis & foretasted weather data is used for prediction of future disasters, such as Crop failure, Flood, Drought etc.

This is an personalized app for the farmers, however this can even be used by non-farmers because the app mostly displays the climatic conditions on hourly basis as well as it is good in predicting climatic conditions on monthly basis for the upcoming one year. So a layman can use this app to know about their geographic location.

As of now this app has lots of features like prediction of climatic data, displaying weather foretasted data, suggesting farmers to grow crops in respective seasons, displays city maps for rain, wind and temperature, this app uses a neural network trained model which can be used to detect objects. This model is good in detecting any general object, however in future I am planning to optimize this deep learning model which can be specifically used for pest detection in crops, percentage of defection in crops, fertilizers suggestion. This model is responsible for its big size.