Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves.

Thus, the proposed method incorporating ML using terahertz waves can be beneficial for precise estimation of WC in leaves and can provide prolific recommendations and insights for growers to take proactive actions in relations to plants health monitoring.