Review of Farm Soil Classification Techniques using  Machine and Deep Learning

Devendra Singh Mehra; Bharti Chourasia; Komal Kanojiya; Atul Kumar Dwivedi

Review of Farm Soil Classification Techniques using Machine and Deep Learning

Devendra Singh Mehra, Bharti Chourasia, Komal Kanojiya, Atul Kumar Dwivedi

Abstract

The soil is an essential component in agricultural production. There are many different varieties of
soil. There are many various kinds of characteristics that may be associated with each kind of soil, and
also many different kinds of crops that can be grown in each type of soil. In order to understand which
kind of crops thrive in which kinds of soil, we need to be familiar with the qualities and traits that
distinguish the different kinds of soil. The use of methods based on machine learning could be useful
here. It has made significant strides forward in recent years. In the realm of agricultural data analysis,
machine learning is still very much an up-and-coming as well as demanding study subject. This study
provides a review of several methods for classifying agricultural soil that make use of machine
learning and deep learning.

Keywords

Soil, Machine Learning, Farm, Deep, Agriculture, Python.

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References

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