Application of artificial neural network for estimating the qualitative characteristics of cantaloupe melon and comparison with the regression model

Abstract

In this paper, the quality characteristics of melon was estimated by using color parameters and neural networks for three fertilizing stages (no fertilizer, fertilizing 5 and 10 ton/ha). For this purpose, chemical parameters including fructose, glucose and sucrose, and color parameters such as L*, a*, b* were studied. Physical characteristics under study were specific weight, mean firmness and skin. Chemical compositions include Brix, moisture content, titratable acidity, pH and ash. Results showed that the best determination coefficient for approximated equation of Brix is R 2 = 0.96 and the least standard error was found to be SE = 0.52 related to glucose equation. According to the analyses done on the modeling data using neural network in Neuro Solutions software, the most appropriate network for fructose prediction was Feed for Multilayer perceptron with architecture of 4-12-12-1 and R 2 = 0.99, MSE = 0.000324. Therefore, for the estimation of quality characteristics for cantaloupe, neural network can be used successfully.

Photosynthetic Rate Prediction Model of Golden Melon Plant (Cucumis melo L.) at Vegetative Phase in Greenhouse using Artificial Neural Networks

“…A neural network was used to model the photosynthetic rate because of the ability of ANNs to explain the relationship between these and other parameters inside the greenhouse (Ouyang et al 2020). Some researchers have used prediction model techniques in different aspects of plant management, particularly for predicting total yield (Naroui Rad et al 2015;Ghasemi-Varnamkhasti et al 2018;Niazian et al 2018). The development of the photosynthetic rate prediction model using ANNs follows the stages (Graupe 2019;Malekian and Chitsaz 2021), as shown in Figure 1.…”

Using Mathematical Models to Study the Influences of Different Ratios of Chemical Nitrogen, Phosphorus, and Potassium on the Content of Soluble Protein, Vitamin C, and Soluble Sugar in Melon

“…Many previous studies concerning the cultivation of melons have been reported, focusing on aspects such as climatic adaptation [8], crop rotation selection, and fertilizer type and management [9][10][11]. Different mathematical models have been analyzed for melon cultivation, in order to establish a precisive pattern of fertilizer application to improve the growth, quality, and resistance to pests and diseases [6,[12][13][14]. At present, in China, the fertilizer recommendations for melon cultivation are mostly based on empirical tables, results of soil nutrient analyses or field experiments.…”