Determining the Carrot Volume via Radius and Length Using ANN

Abstract

In this study a total of 464 carrots were taken from Kaşınhanı, where the most carrots in Turkey are produced. The radiuses with an interval of 5 cm, length and volume of each carrot were measured and recorded. Three different Artificial Neural Network models: BP, LM and PUNN were designed for predicting the carrot volume. To assess the success of the system, statistical measures such as Root Mean Squared Error, Mean Absolute Error and R 2 were used. The results showed that all three methods are successful in this problem, while LM and PUNN seems bit better.

Real-Time Size and Mass Estimation of Slender Axi-Symmetric Fruit/Vegetable Using a Single Top View Image

“…Due to the limitation of the load cell, many researchers try to find other methods to estimate weight/volume without using a load cell [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 ]. One of the most accurate ways is to estimate the volume of the product and using a pre-determined “density” to calculate the actual weight of the object because mass and volume are correlated to a certain degree.…”

“…In addition, the Artificial Neural Network (ANN) has also been used for volume estimation [ 14 , 26 , 37 ]. One of the most popular ways to estimate the volume is to use a single image and measure the widths and/or lengths to feed into their model [ 14 , 37 ]. There are many types of ANNs in the literature [ 26 , 37 , 42 ].…”

“…One of the most popular ways to estimate the volume is to use a single image and measure the widths and/or lengths to feed into their model [ 14 , 37 ]. There are many types of ANNs in the literature [ 26 , 37 , 42 ]. However, the Levenberg-Marquardt algorithm (LM) still provides sufficiently accurate results in volume estimation [ 26 , 37 ].…”

“…There are many types of ANNs in the literature [ 26 , 37 , 42 ]. However, the Levenberg-Marquardt algorithm (LM) still provides sufficiently accurate results in volume estimation [ 26 , 37 ]. The Levenberg-Marquardt neural networks were used to form non-linear combinations of various features to estimate fruits’ volumes [ 37 , 42 ].…”

Shuffled Frog Leaping Algorithm and Wind-Driven Optimization Technique Modified with Multilayer Perceptron

“…Having a feed-forward hierarchical architecture, the multilayer perceptron (MLP) is the most commonly held notion of the ANNs [51,52]. In this study, an MLP neural network was used as the basic predictive model.…”