A study of Soil Testing Methods for Nutrient Analysis

Nutrient analysis for crop production provides direction for farming techniques which may give more yield as output. The nutrient estimation is related to chemical as well as image processing-based techniques. There are variety of methods available so far for nutrient estimation. This paper contributes in terms of review of different methods which may provide platform for the researchers working in the domain. The machine learning and image processing approaches are responsible to make nutrient analysis easier. Thus, methods with the use of machine learning and image processing are also addressed in this paper.