Machine Learning Models for Soil Nutrient Prediction and Precision Crop Management

Summary

Agriculture plays a major role in the development of country’s sustainable and economic development. The rising difficulties related to food security have resulted in intensive agricultural methods which can negatively impact the soil quality .This may lead to the depletion of soil nutrients. Many conventional soil testing techniques are not only costly but also it is inaccessible for smallholder farmers, particularly because of the high demands on time and labor involved. The recent emergence of artificial intelligence (AI) as a significant tool for transforming agricultural methods has increasingly helped farmers to choose suitable crops based on the soil nutrients levels. Deep learning algorithms have significantly improved the classification of soil nutrients which increases the precis