CROP RECOMMENDATION SYSTEM USING MACHINE LEARNING

Abstract

Being an agrarian country, Pakistan's economy majorly relies on crop productivity. The food demand has increased in the recent years, but the production has seen a fall. This is due to conventional fanning practices. With changing environmental and agronomic conditions, we need to bring advancement in our agriculture sector. The underutilization of agricultural capacity can be overcome by adopting advance cultivation techniques. This project modernizes farming by bringing an innovative solution to deal with low production due to repetitive farming. We present a crop recommendation system that recognizes the environmental and soil conditions of a location that the user inputs and then recommends a crop that best suits those spatial conditions. This system will increase overall agricultural production and accelerate the agricultural development in Pakistan. ii