Articles | Open Access | https://doi.org/10.37547/ibast-02-11-28

AUTOMATION IN THE TOMATO SORTING PROCESS USING INFORMATION COMMUNICATION SYSTEMS

R.R.Ismoilov , Master Student, Phd, Associate Professor Bukhara Engineering-Technological Institute, Uzbekistan
U.M. Ibragimov , Phd, Associate Professor Bukhara Engineering-Technological Institute, Uzbekistan

Abstract

Our goal is to provide better quality tomatoes to meet the market standards and for that we need fresh and ripe tomatoes instead of unripe tomatoes. Sorting of tomatoes is done by humans which is prone to human error. We need to minimize the error and for that a low cost Tomato Sorting Machine is proposed which differentiates between ripe and unripe tomatoes on the basis of their colour. To differentiate between ripe and unripe tomatoes two TCS3200 RGB Colour Sensors are used in the proposed system.

Keywords

Agro-industries, automation systems, classification and sorting, vector machine

References

Britt, B. F. & Kristin, R. (2010). Tomato Consumption and Health: Emerging Benefits, American journal of lifestyle medicine.

Tsado, E. K. (2015). The Best Source of Compost for Tomato Production: A Study of Tomato Production in Niger State, Nigeria. Global Journal of Agricultural Research, 3 (4), 23-33

Nchuchuwe, F. F. & Adejuwon, K. D. (2012). The challenges of Agriculture and Rural Development in Africa: the case of Nigeria. International Journal of Academic Research in Progressive Education and Development, 1 (3).

Olajide O. T., Akinlabi B. H. & Tijani A. A. (2013). Agriculture Resource and Economic Growth in Nigeria. European Scientific Journal, 8 (22).

Abdullahi Ahmad ADAMU. Adamu SHEHU. Development of an Automatic Tomato Sorting Machine Based on Color Sensor. International Journal of Recent Engineering Research and Development (IJRERD) ISSN: 2455-8761. www.ijrerd.com.Volume 03 – Issue 11. November 2018. PP. 01-07.

Report on: The World's Leading Producers Of Tomatoes, accessed on May, 2019, available on the link: https://www.worldatlas.com/articles/which-are-the-world-sleading-tomato-producing-countries.html

Arjenaki, O. O., et al. "Tomato sorting based on maturity, surface defects and shape by using of machine vision system." Post Harvest, Food and Process Engineering. International Conference of Agricultural Engineering-CIGR-AgEng 2012: agriculture and engineering for a healthier life, Valencia, Spain, 8-12 July 2012. CIGR-EurAgEng, 2012.

Manoj, B. A. & Satish, M. T.. Arm Based Fruit Grading and Management System Using Image Processing. International Journal of Advanced Research in Computer Engineering &Technology, 2 (1), 2013.

Dhroov Batra, Hardik Rewari, Hema N. Automated Tomato Sorting Machine. Jaypee Institute of Information Technology. Conference Paper · March 2020. DOI: 10.1109/ICSC48311.2020.9182723.

Саидов У., У.М.Ибрагимов. К.Х. Гафуров. Разработка полупромышленной мультисушилки для фруктов с использованием интеллектуального управления. Современные научные исследования и инновации. eISSN: 2223-4888. Номер: 4 (108). 2020 г.

Article Statistics

Downloads

Download data is not yet available.

Copyright License

Download Citations

How to Cite

AUTOMATION IN THE TOMATO SORTING PROCESS USING INFORMATION COMMUNICATION SYSTEMS. (2022). International Bulletin of Applied Science and Technology, 2(11), 122-131. https://doi.org/10.37547/ibast-02-11-28