Published 2022-07-08
Keywords
- Agriculture, technology, machine learning, soil composition, climatic parameters, supervised learning methods, multi perceptron, multiclass classification algorithms
Abstract
Agriculture is a significant part of India's economy. Agriculture with technology can lead to groundbreaking improvements. Machine learning plays a significant role here, to help predict and formulate essential results. The main focus of this project is to predict and suggest suitable crops to sow in certain soil composition and climatic parameters based on existing historical data collected over years and later subjecting it to Supervised Learning methods and Multi - Class Classification algorithms. So, we propose to create a user-friendly smartphone application that can provide a list of top crops that can be produced in a specific type of soil, and the accuracy of our system can be confirmed using a government website called "Soil Health Card," which collects data on soil composition and its related data.