Application of artificial neural network with backpropagation algorithm for estimating leaf area

Abstract

Abstract Leaf area plays an important rules in plant growth and production. There are some methods used to measure leaf area with different approach namely regression equation, grid count, gravimetric, planimeter, image processing, adaptive neural based fuzzy inference system, and other. In this research, the excellencies of Artificial Neural Network (ANN) with backpropagation algorithm will be inspected to estimate leaf area of seven plants species. Two parameter, leaf length and leaf width, used as an input variables and leaf area as output variable. The result indicated that ANN with 2-50-1 architecture has a good performance in predicting leaf area of seven plants species at 99.99% degree of accuracy.