Development of smart fuzzy logic controlled mushroom growth chamber / by LJ Verice S. Fallago and Jeleiza Z. Jundis.

By:

Fallago, LJ Verice S [author]

Contributor(s):

Material type: Text

TextLanguage: English Publication details: Indang, Cavite : Cavite State University- Main Campus, 2022.Description: xv, 140 pages : illustrations ; 28 cmContent type:

text

Media type:

unmediated

Carrier type:

volume

Subject(s):

DDC classification:

621.395 F19 2022

Online resources:

Click here to view the Abstract and Table of Contents

Production credits:

College of Engineering and Information Technology (CEIT)

Abstract: FALLAGO, LJ VERICE S., JUNDIS, JELEIZA Z. Development of Smart Fuzzy Logic Controlled Mushroom Growth Chamber. Undergraduate Design Project Bachelor of Science in Electronics Engineering, Cavite State University, Indang, Cavite. Adviser: Dr. Edwin R. Arboleda Fuzzy logic was a modern control technology that was designed to replicate human decision-making. In comparison to other types of control systems, fuzzy logic is easier to understand, more straightforward, and more versatile. Conventional mushroom growing methods, on the other hand, result in poor growth due to a lack of capital or cultivation space, lack of information about the cultural process, and adverse climate conditions. The fundamental goal of the study was to create a fuzzy logic- controlled mushroom growth chamber that provides an optimal environment for mushroom productivity and quality improvement. The fuzzy logic control system automates the adjustment of significant parameters particularly temperature, relative humidity (RH), carbon dioxide (CO2), and light intensity. The significant parameters can be wirelessly monitored with the use of the internet of things (IoT) and the data was stored in an online databank. The user can easily operate the functionality of the mushroom growth chamber with help of a graphical user interface (GUI). The study concludes that the growth chamber has efficiently stabilized the environment inside the chamber to an acceptable intended value, allowing it to satisfy the optimal environmental needs of the chosen mushroom specie through technical testing and evaluation. The study also demonstrated that fuzzy logic control boosted mushroom yield weight significantly more than an on/off controller. The device's cost was anticipated to be compensated by its benefits after 0.768 years of constant operation.

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Holdings
Item type	Current library	Collection	Call number	Materials specified	URL	Status	Notes	Date due	Barcode
Theses / Manuscripts	Ladislao N. Diwa Memorial Library Theses Section	Non-fiction	621.395 F19 2022 (Browse shelf(Opens below))		Link to resource	Room use only	DP-755		00081857

Design Project (Bachelor of Science in Electronics and Communications Engineering) Cavite State University.

Includes bibliographical references.

College of Engineering and Information Technology (CEIT)

FALLAGO, LJ VERICE S., JUNDIS, JELEIZA Z. Development of Smart Fuzzy Logic
Controlled Mushroom Growth Chamber. Undergraduate Design Project Bachelor of
Science in Electronics Engineering, Cavite State University, Indang, Cavite. Adviser: Dr.
Edwin R. Arboleda Fuzzy logic was a modern control technology that was designed to replicate human
decision-making. In comparison to other types of control systems, fuzzy logic is easier to
understand, more straightforward, and more versatile. Conventional mushroom growing
methods, on the other hand, result in poor growth due to a lack of capital or cultivation space,
lack of information about the cultural process, and adverse climate conditions. The fundamental
goal of the study was to create a fuzzy logic- controlled mushroom growth chamber that
provides an optimal environment for mushroom productivity and quality improvement.
The fuzzy logic control system automates the adjustment of significant parameters
particularly temperature, relative humidity (RH), carbon dioxide (CO2), and light intensity. The
significant parameters can be wirelessly monitored with the use of the internet of things (IoT)
and the data was stored in an online databank. The user can easily operate the functionality of
the mushroom growth chamber with help of a graphical user interface (GUI). The study
concludes that the growth chamber has efficiently stabilized the environment inside the chamber
to an acceptable intended value, allowing it to satisfy the optimal environmental needs of the
chosen mushroom specie through technical testing and evaluation. The study also
demonstrated that fuzzy logic control boosted mushroom yield weight significantly more than an
on/off controller. The device's cost was anticipated to be compensated by its benefits after 0.768
years of constant operation.

Submitted to the University Library 09/01/2022 DP-755

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