Estimation Equilibrium Moisture Content in Agriculture Product Using Neural Network Method

Journal Title: International Research Journal of Applied and Basic Sciences - Year 2012, Vol 3, Issue 11

Abstract

The equilibrium moisture content (EMC) is an important parameter for several postharvesting operations such as processing, packaging storage and drying processes. EMC is affected by different parameters Such as temperature , relative humidity, type of the product and ingredient of them. Empirical models and Artificial Neural Networks (ANNs) were utilized for the prediction of Equilibrium Moisture Content (EMC) in agriculture product. Many empirical models including GAB, Smith, Henderson, Chung-Post, Modified Halsey, Chen-Clayton, Oswin, Halsey and D’Arsy-watt, Vemuganti were applied for this estimation. Artificial neural networks (ANNs) method is the approach used in this paper to estimate EMC too. A Generalized Regression Neural Network (GRRN) was used to achieve the better results. Comparing the data obtained using this model with Vemuganti model showed the desirable result. The accuracy of the predicted rates for EMC was 92.6% to 99.7%.

Authors and Affiliations

Mohammad shekofteh| Islamic Azad University, Jiroft Branch, Jiroft, Iran,moh_shekofteh1@yahoo.com, Hosein shekofteh| Islamic Azad University, Jiroft Branch, Jiroft, Iran, Mohammad raza hojati| Junior College of Fasa, Iran

Keywords

Related Articles

Reviewing rate of familiarity financial managers in ways of financing (Case study: Economic institutions of Hormozgan state)

Todays, role of financial management in trading is important. In recent years, by enhancing all aspects of human life & with regards to globalization trend of countries economy, financial experts of country were familiar...

A High Capacity Robust Lossless Data Hiding Scheme Using Complementary Embedding Strategy

This paper proposes a high capacity robust lossless data embedding scheme with great payload capacity, good image quality and acceptable robustness, which is based on adjacent pixel difference (APD) and histogram distrib...

Study on Wireless Sensor Networks Challenges and Routing Protocols

Wireless Sensor Networks (WSNs) consist of many number of sensor nodes which usually releases in the inaccessible environment. WSNs are usable in many areas including: military, medical, environmental and etc. In this pa...

The Relationship between Job Involvement, Job Satisfaction and Organizational Productivity (Education Organization of Sistan and Baluchestan)

There are several factors that effect on the organization so Job involvement and job satisfaction. Productivity Organization has a critical role on the business excellence and client satisfaction thus this study evaluate...

Yield and Quality of Berseem (Trifolium alexandrinum L.) in Response to Nitrogen Fertilization and Plant Density

A field experiment was carried out in 2012 at agriculture research field of Qaemshahr, Iran, to investigate the effect of nitrogen fertilizer levels and plant density on morphological and physiological characteristics of...

Download PDF file
  • EP ID EP5169
  • DOI -
  • Views 438
  • Downloads 20

How To Cite

Mohammad shekofteh, Hosein shekofteh, Mohammad raza hojati (2012). Estimation Equilibrium Moisture Content in Agriculture Product Using Neural Network Method. International Research Journal of Applied and Basic Sciences, 3(11), 2215-2225. https://europub.co.uk/articles/-A-5169