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A fuzzy micro-climate controller for small indoor aeroponics systems

Journal from gdlhub / 2020-01-09 11:40:17
By : Bambang Dwi Argo, Yusuf Hendrawan, Ubaidillah Ubaidillah, Telkomnika
Created : 2020-01-09, with 1 files

Keyword : fuzzy controller, microclimate management, soilless culture
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/issue/view/640

The Indonesian agricultural sector faces challenges producing affordably priced food using
sustainable practices. A soilless cultural practice, such as indoor aeroponics, is a compelling alternative to
conventional agriculture. The objective of the present study was to develop a system for micro-climate
management in a pilot-scale indoor aeroponics system. For this purpose, three fuzzy logic controllers were
developed and evaluated to maintain plant chamber parameters (temperature, relative humidity, and light
intensity) at desired set points controlled by embedded system controls designed using BASCOM-AVR
software. The results showed that the fuzzy controllers provided excellent responses and experienced
relatively low errors in all controlled parameters. All parameters changes followed the set point very
smoothly and responded accordingly. The averaged percent of working times in which temperature,
relative humidity, and light intensity were maintained within less than ±1°C, ±5%, and ±30 lux from the set
points were found to be 88.43%, 95.91%, and 85.51%, respectively.

Description Alternative :

The Indonesian agricultural sector faces challenges producing affordably priced food using
sustainable practices. A soilless cultural practice, such as indoor aeroponics, is a compelling alternative to
conventional agriculture. The objective of the present study was to develop a system for micro-climate
management in a pilot-scale indoor aeroponics system. For this purpose, three fuzzy logic controllers were
developed and evaluated to maintain plant chamber parameters (temperature, relative humidity, and light
intensity) at desired set points controlled by embedded system controls designed using BASCOM-AVR
software. The results showed that the fuzzy controllers provided excellent responses and experienced
relatively low errors in all controlled parameters. All parameters changes followed the set point very
smoothly and responded accordingly. The averaged percent of working times in which temperature,
relative humidity, and light intensity were maintained within less than ±1°C, ±5%, and ±30 lux from the set
points were found to be 88.43%, 95.91%, and 85.51%, respectively.

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