##plugins.themes.academic_pro.article.sidebar##

Download
pdf

##plugins.themes.academic_pro.article.main##

Abstract

The duration of drying processes is considerable in time, from 8 to 36 hours, and it can be assumed that unforeseen circumstances are likely to occur in this interval. For this reason, and also during the setting of the temperature regulators in the system, the possibility of remote monitoring and changing its parameters was sought. In the proposed version of the process control system in the experimental convective dryer, a personal computer with a Windows operating system and MATLAB and LabVIEW software packages are used.

Keywords

convective dryer grain microcontroller WEB application

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite
Azizbek Nodirbekovich Yusupbekov, & Dilmurod Ikromovich Egamberganov. (2022). Effect of foliar application of silicon on some Characteristics Development of the grain product drying system by adapting a microcontroller. Texas Journal of Agriculture and Biological Sciences, 11, 78–80. Retrieved from https://zienjournals.com/index.php/tjabs/article/view/3145

References

  1. Valov N., D. Ivanova, I. V’lova. Otdalеchеn dostup i upravlеniye na protsеsa sushеnе prеz internet. International Conference Automatics and informatics '15, Sofia, 2015, str. 47-49.
  2. Kiseleva T. F. Drying Technology: Educational and methodical complex, Technological Institute of food industry, Kemerovo, 2007, 117 p. (in Russian).
  3. Valov N., I. Valova. DRYING PROCESS MANAGEMENT LABORATORY WITH REMOTE ACCESS. IEEE ITHET 2017 - 16th International Conference on Information Technology Based Higher Education and Training, Ohrid, Macedonia, 2017.
  4. Han, F., Zuo, C., Wu, W., Li, J., & Liu, Z. (2012). Model predictive control of the grain drying process. Mathematical Problems in Engineering, 2012, 1-12.
  5. Zhang, L., Cui, H., Li, H., Han, F., Zhang, Y., & Wu, W. (2013). Parameters online detection and model predictive control during the grain drying process. Mathematical Problems in Engineering, 1-7,
  6. https://ik-sushka.com/drying