Soil Health Analysis for Crop Suggestions using Machine Learning

Abstract

Indian economy is depending on agriculture. Agriculture is the main source of income for most of the
population. So farmers are always curious about yield prediction. Many factors are responsible like soil, weather, rain,
fertilizers and pesticides to increase yield production. Agriculture being a soil-based industry, an increase in yield can
only be attained by ensuring that the soil provides a balanced and an adequate supply of nutrients. Soil testing is pivotal
in understanding the deficiencies in soil and avoiding nutrient imbalance. This survey and study focuses on the different
soil types, crop types and soil test reports. Soils are complex mixtures of air, water, minerals, organic matter, and
countless organisms that are the decaying remains of once-living things. We can say soil is an important ingredient of
agriculture. There are several types of soils and each type of soil can have different kinds of features and different kinds
of crops grow on different types of soils. We must know which type of crop is go better in our soil. We can apply machine
learning techniques to classify soil and to predict the crop suitable.