Identification of NPK Deficiency in Toor Dal Leaf Using CNN Technique

The main economic contributor to India is agriculture. The Nitrogen (N), phosphorus (P), and potassium (K), are the crucial parts of nutrients in plant growth. NPK deficiency levels affect plant development and crop productivity. By analyzing the leaf properties, we hope to build a model for an artificial neural network (Convolutional Neural Network Technique) that will be able to identify and categorize nutrient deficiencies in toor dal leaf. The two main characteristics used to determine NPK deficiencies in plants are the color and shape of a leaf. The dynamic capture of toor dal leaves by scanning was employed in this work to investigate how the regulation of leaf attributes changed in response to nutritional stress. In this work, the impact of various activation functions on the artificial neural network is also investigated. The findings demonstrate that the suggested technique was highly accurate in classifying and identifying NPK deficiencies in toor dal leaf.