Neural identification of images showing selected varieties of stored potatoes

Abstract

In recent years, there has been a growing interest in the use of modern IT tools in agricultural engineering. Both image analysis methods and artificial neural networks, designed to reproduce the work of the human brain, serve to build predictive and classification models, highly useful for modern agriculture. Correct identification of both the seed material and the produced crops becomes a priority of agricultural engineering, ensuring adequate efficiency and cost-effectiveness of agrotechnical operations. This article presents a project whose aim was to develop an effective neural model for qualitative identification of the variety of stored consumer potato tubers by using input data obtained in the process of digital image analysis. The designed and created artificial neural network model (multilayer perceptron), using informations in the form of selected graphic descriptors, classifies three selected varieties of edible potato (Denar, Gala, Vineta).

Authors and Affiliations

Danuta Lange, Krzysztof Przybył, Mateusz Łukomski, Piotr Boniecki

Keywords

Related Articles

Relationships between selected traits in maize (Zea mays L.). Part 2. Multiple linear regression

The study comprised of 13 maize cultivars, evaluated at two years in a randomized complete block design, with four replicates. To assess the quantitative impact of individual traits on the grain yield the multiple regres...

Application of artificial neural networks to analyze the emergence of soybean seeds after applying herbal treatments

The aim of the following work is to indicate factors which significantly affect the emergence of selected soybean varieties after application of natural herbal extracts based on - Levisticum officinale L., Ribes nigrum L...

Analysis of the possibilities of using a hybrid heating system in the process of anaerobic biomass decomposition in a container fermenter

The subject of the work concerns the design of a hybrid solar system to maintain mesophilic conditions in the process of anaerobic biomass decomposition. The main purpose of the work was to design a hybrid heating instal...

The effects of milking automation on a family farm

The aim of the study was to investigate the effect of the press construction solution and the size of the sieve hole on the efficiency of the pressing yield and the content of solid particles on the raw juice. In this st...

The ergonomics and safety of farming tractors – users’ opinion

In 2017 650 questionnaires were sent online to respondents in the Independent Farmers’ Opinion Poll (IFOP) system. The survey provided valuable data for analyses of the safety and ergonomics of tractors used on Polish fa...

Download PDF file
  • EP ID EP514964
  • DOI -
  • Views 112
  • Downloads 0

How To Cite

Danuta Lange, Krzysztof Przybył, Mateusz Łukomski, Piotr Boniecki (2018). Neural identification of images showing selected varieties of stored potatoes. Journal of Research and Applications in Agricultural Engineering (ISSN 1642-686X), 63(4), 110-113. https://europub.co.uk/articles/-A-514964