N.P.K. based crop suggesting model

Abstract

Bangladesh is a country having an area of 1, 47,570 square kilometers in which roughly 70.63 percent is agricultural lands [1]. As an agricultural country we are mostly dependent on soil. There are 3 most important nutrients in any soil, it's known as the primary macro nutrients: Nitrogen (N), Phosphorus (P), and Potas- sium (K). Each of the primary nutrients is very essential in plant nutrition, serving a critical role in growth and reproduction of the plant. The purpose of this project is to make a N.P.K. Based Crop Suggesting Model by using machine learning which will determine the best crop to grow in a particular soil based on some major crite- ria. This model will play a vital role in our agricultural sectors to fulfill the needs of our country by reaching the highest level of efficiency and ensure the best use of our arable lands.