KSAN (KISAN SOIL ANALYSING NETWORK)

Abstract

 The whole world is developing into a digitalizing world, whereas the uses of smart phones 
are rapidly increasing and mobile applications are created in many fields. As well as the field of 
agriculture is also developing in mobile application.  In order to help the farmers in need of help, we 
have researched some information about mobile application and created an app based on soil 
analysis. Soil analysis is a major Problem of agriculture & farming, but their rapid identification 
remains difficult in many parts of the world due to the lack of the necessary infrastructure. The 
combination of increasing global smartphone penetration and recent advances in computer vision 
made possible by deep learning has paved the way for smartphone-assisted soil analyzing, Overall, 
the approach of training deep learning models on increasingly large and publicly available image 
datasets presents a clear path toward smartphone-assisted soil analyzing on a massive global scale.