Sensitivity of Molds Isolated From Warehouses of Food Production Facility on Selected Essential Oils

Kręcidło, Łukasz; Krzyśko–Łupicka, Teresa

doi:10.12912/23920629/58910

Cited by 3 publications

(4 citation statements)

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“…Storage of agricultural crops is a key stage in the agrifood production chain. Improper storage conditions of cereals promote the development of microorganisms, including fungi, commonly known as molds [7]. Their excessive development may generate economic loss and lead to a decrease in quality parameters of the stored raw material, such as: weakened germination capacity of the seed, weight loss, grain infestation and change in organoleptic and chemical parameters [8].…”

Section: Introductionmentioning

confidence: 99%

“…In view of increasing consumer demands and regulations concerning the agrifood sector, more and more research on engineering and production technology issues is concentrated on the possibility of applying fully automated and error-free continuous quality control and evaluation. In particular, the area of control related to the measurement of qualitative characteristics, including on-line or at-line physical properties is the most desirable direction of future development [7,9]. The last decade has seen a dynamic increase in the use of application techniques to assess the quality of food and agricultural produce on the basis of objective instrumental measurements, especially techniques based on image analysis.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

et al. 2020

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The paper presents the method of using vision techniques and artificial neural networks to assess the degree of contamination of cereal during grain reception. The aim of the work is to optimize the management of the contaminant evaluation process of grain mass in warehouse and during purchase using vision techniques based on computer image analysis in order to expedite laboratory work. The obtained photographs of wheat seed samples were analyzed using the “Agropol V06” computer application and neural analysis of the obtained empirical results was performed. The application of computer image analysis reduced the time necessary for the quality assessment of the examined material compared to traditional methods. The generated models were characterized by good parameters and high quality, obtaining a high R2 coefficient at the level of 0.999. As part of the investment project, savings resulting from the time of goods receipt and further production process were made. Profitability was estimated at 191.43% per day. The analysis was made without taking into account other costs related to the business activity. The straight payback period is 3 years.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

et al. 2020

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“…i Krzyśko-Łupicka 2015]. Ich nadmierny rozwój może generować straty ekonomiczne oraz prowadzić do obniżenia parametrów jakościowych składowanego surowca, takich jak: osłabienie zdolności kiełkowania materiału siewnego, ubytek masy, porażenie ziarniaków oraz zmiana parametrów organoleptycznych i chemicznych [Broda i Grajek 2009].…”

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“…Szacuje się, iż skażają one od 25 do 40% zebranego i składowanego ziarna [Krę-cidło i Krzyśko-Łupicka 2015]. Ponadto mykotoksyny stanowią bezpośrednie zagrożenie dla zdrowia zwierząt i ludzi, gdyż nie ulegają degradacji w trakcie przetwarzania [Zhu i in.…”

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Różnorodność Grzybów Strzępkowych W Powietrzu I Frakcji Opadającej Na Powierzchnię Magazynów Zbożowych Oraz W Przechowywanym Ziarnie Zbóż

Kręcidło

Krzyśko–Łupicka

2017

Zeszyty Problemowe Postępów Nauk Rolniczych

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Electrotechnical Tools and Computer Image Analysis in Assessing the Quality of Maize Grain During Storage

Szwedziak,

Dolezal,

Tabor

et al. 2023

Agricultural Engineering

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The study of qualitative characteristics is becoming increasingly important due to determination of the purchase price and further use of seeds. An important problem of the modern sustainable agriculture is the production of seeds and products with appropriate quality parameters. The research carried out so far proves that the technology of harvesting, transport, and drying conditions as well as storage have an impact on the quality of seeds, determining their usefulness for the industry. The smallest irregularities can cause irreversible changes and significantly reduce the technological value of seeds and their processing products. The use of tools in the field of supporting electrical engineering enables detection and highlighting of image elements so that it becomes readable to the human eye. The aim of the research was to develop technology for evaluating grain in storage using electrotechnical tools and computer techniques.

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Sensitivity of Molds Isolated From Warehouses of Food Production Facility on Selected Essential Oils

Cited by 3 publications

References 0 publications

Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

Optimization of Management Processes in Assessing the Quality of Stored Grain Using Vision Techniques and Artificial Neural Networks

Różnorodność Grzybów Strzępkowych W Powietrzu I Frakcji Opadającej Na Powierzchnię Magazynów Zbożowych Oraz W Przechowywanym Ziarnie Zbóż

Electrotechnical Tools and Computer Image Analysis in Assessing the Quality of Maize Grain During Storage

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