Soil Mineral Prediction of Crops Using Machine Learning

Abstract

n India, agriculture is the primary source of income. Agriculture employs the majority of the people. Because India's financial system is so reliant on agriculture, there is a pressing need to boost agricultural output generally. Soil is the most important natural resource in agriculture. The most important requirement is good soil quality. The pH of the soil is crucial in this regard. The acidity of the soil is measured by its pH. The total yield is influenced by the pH level. Nitrogen, Potassium, and Phosphorus all influence pH of soil. Farmers can then begin cultivating crops as a result of this. pH sensors are commonly used to determine the pH of soil. However, because they increase the cost of manufacture, they are not always practicable. To address this problem, the proposed method determines the pH value while simultaneously recommending a crop. The crop recommendation method takes into account factors such as soil pH, season, and temperature.