Detection and classification of nutrient deficiencies in plants using machine learning

Abstract Agriculture is the major factor contributing to Indian Economy. According current statistics, its contribution GDP sector 17.9%. Technical advancement in agricultural domain will produce more products without any wastage of money, time and manpower. Nutrients play a role plant growth. Lack nutrients leads reduced crop yield In this work, we are trying create an artificial neural network model recognize classify nutrient deficiency tomato by examining leaf characteristics. This help farmers adjust supply plant. If soil lacks specific nutrient, it reflect physical characteristics leaf. The color shape two features used for identifying deficiency. comparison different segmentation schemes like hue based threshold shows their influence performance proposed system. activation functions also studied work. results show that method was able identify nutritional deficiencies with high accuracy.