Soil health Prediction for Precision Agriculture using Machine Learning and Deep Learning
Incorporation of Artificial Intelligence (AI) and Machine Learning (ML) in farming offers enormous potential for improving how soil health is being monitored and practiced in Precision Agriculture. In this regard, the focus of this paper is to provide a review on the rapidly progressing techniques which are AI/ML-based for prediction and monitoring of soil properties such as pH, moisture content, nitrogen, phosphorus, potassium, and organic carbon.