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Mathematical Model for Broccoli Growth Prediction Based on Artificial Networks

Abstract:

Broccoli is considered a nutritious vegetable that contains Vitamin C and A, Calcium, Iron, and Sulfur. It also has properties that help to control diabetes and antimicrobial, sulforaphane that kills cancer cells and controls blood pressure. The data were collected from the Freire farm located in the canton of Latacunga. Due to the importance of broccoli, it was necessary to develop a mathematical model that predicts its growth, using the Multilayer Perceptron Neural Network, which is efficient when classifying and finding patterns. This model simulates the growth in two scenarios, the data were collected in the field, thus building the network with 10 input neurons, 7 in the hidden layer, and two output neurons. The result was the height of the stem and the diameter of the foil. When the mathematical model was validated, it became evident that it is efficient. The parameters of the inputs can be modified and the behavior of …