Abstract:
Agriculture plays a very key role in the growth of a country like Pakistan where quarter of its
GDP is produced by agriculture every year. Top agricultural countries in the world with the
passage of time evolve their agriculture with the technology. While in contrast to that, the
problem is that Pakistan is still using the conventional agricultural techniques for their farming
and not taking advantage from the latest technology. There is not any online platform that
provides farmers of Pakistan that which crop is suitable according to their soil, when to use
fertilizer, about weather forecast and awareness of technology for farming. Due to
unavailability of any platform or guidance, farmers take random decision based on their
knowledge without considering many factors like climate change and ultimately these
decisions sometimes lead towards the loss and this loss in a way effects the agricultural rate
of Pakistan.
The problem of finding the right crop for the right soil is solved if we provide a platform
where we recommend farmers that which crop is suitable according to your soil by taking some
input regarding that soil. By using that platform guidance and awareness to farmers also be
provided. Machine learning is used for the recommendation of crop. Different classification
algorithms K Nearest Neighbour, Decision Tree, Logistic Regression, Support Vector Machine
and Random Forest are used for the recommendation system. The best accurate algorithm is
further used for recommendation. Further system is deployed into a mobile application which
is farmer friendly and has an interactive outlook
