scholarly journals Enhanced IoT-Based Climate Control for Oyster Mushroom Cultivation Using Fuzzy Logic Approach and NodeMCU Microcontroller

2021 ◽  
Vol 29 (4) ◽  
Author(s):  
Muhammad Azizi Mohd Ariffin ◽  
Muhammad Izzad Ramli ◽  
Zarina Zainol ◽  
Mohd Nazrul Mohd Amin ◽  
Marina Ismail ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Mushroom Cultivation ◽  
Urban Farming ◽  
Climate Control ◽  
Fuzzy Logic Algorithm ◽  
Temperature And Humidity ◽  
Food Shortages ◽  
Fuzzy Logic Approach ◽  
Input Variables

Urban farming has the potential to utilise unused space in the community to alleviate food shortages and increase the community’s income through local food production. When Internet of Things (IoT) technology is integrated with urban farming, it can further improve its efficiencies and yield. The work in this paper improved our previous work of using an IoT-based climate control system to regulate the cultivation environment of oyster mushrooms automatically. Even though the climate control system could produce two batches of mushroom yields, there were several limitations, such as less efficient climate control due to threshold-based corrective action, water wastage, and system instability. This paper aims to address these stated limitations by implementing a fuzzy logic algorithm and redesigned the climate control system. Two crisp input variables from DHT22 sensors representing temperature and humidity were fed into the Node MCU microcontroller’s fuzzy logic coded in C language. The temperature and humidity conditions were divided into five fuzzy trapezoidal membership functions resulting in 25 fuzzy rules to control the duration of running the water pump and ventilation fan. An internal, lightweight web server were managed all HTTP client requests. The enhanced system also included a safety measurement to avoid overheating the microcontroller and causing water wastage. Upon analysis of the data captured in two months, the result showed a decrease of 40% in water utilisation and an increase of mushrooms yield up to 226%. The enhanced climate control system also facilitated maintaining and controlling the temperature and humidity conducive for optimal mushroom cultivation.

scholarly journals KONTROL PEMAKAIAN PERALATAN ELEKTRONIK BERBASIS MIKROKONTROLER DAN ALGORITMA FUZZY MAMDANI

2020 ◽  
Vol 3 (2) ◽  
pp. 94-107
Author(s):  
Chyquitha Danuputri ◽  
Lukman Hakim ◽  
Willy Stevanus Susilo ◽  
Fernando Dedi Samuel
Keyword(s):  
Fuzzy Logic ◽  
Electric Current ◽  
Intelligent System ◽  
Time Zone ◽  
Fuzzy Logic Algorithm ◽  
Fuzzy Input ◽  
Temperature And Humidity ◽  
Control Automation ◽  
Calculation Results ◽  
Input Variables

Excessive use of electricity had some negative impacts. In this research, the Arduino ESP32 integrated with the WiFi module, the PZEM-004T V3.0 electric current sensor to detect the electric current used, DHT22 temperature sensor to measure the temperature and humidity of the room air, BH1750 light sensor to measure the intensity of light entering the room and SPDT Relay  connected between the microcontroller and the lamp. Mamdani Fuzzy Logic Algorithm which was a cryptic system as part of the intelligent system methodology applied to control automation in fans with fuzzy input variables was temperature and humidity as well as the automation of lamp usage applied fuzzy logic mamdani with fuzzy input variables were the intensity of incoming light and the time zone. Defuzzy's calculation results based on rules and have been tested on fan and lamp automation obtained 100% accuracy. Aside from being automatic, this system were also applied manual control through the Blynk application only to the function (ON / OFF) and monitored real time electricity usage in the IDR value remotely with the Internet of Things method based on Microcontroller and IOS or Android. This research could help homeowners in saving electricity.

scholarly journals Penempatan Posisi Multi Kamera Berdasarkan Gaya Sutradara Berbasis Logika Fuzzy

2018 ◽  
Vol 5 (6) ◽  
pp. 687
Author(s):  
Hartarto Junaedi ◽  
Jaya Pranata ◽  
Mochamad Hariadi ◽  
I Ketut Eddy Purnama
Keyword(s):  
Fuzzy Logic ◽  
Computer Games ◽  
Computer Game ◽  
Point Of View ◽  
Virtual Camera ◽  
Fuzzy Logic Approach ◽  
Multi Agent ◽  
Logic Approach ◽  
Input Variables ◽  
Game Simulation

<p class="Abstrak">Teknologi komputer saat ini telah banyak digunakan dalam pengembangan animasi atau permainan komputer. Salah satu teknologi itu adalah <em>machinima </em>yaitu suatu sistem yang menggunakan teknologi mesin grafik 3D untuk menghasilkan produk sinematik secara <em>real time</em>. Dalam proses pembuatan produk sinematik itu penempatan posisi kamera sangat memegang peranan penting. Penempatan posisi kamera ini tentu harus sesuai dengan kaidah-kaidah sinematografi. Penelitian ini akan mengusulkan sebuah pendekatan agen cerdas dengan multi perilaku untuk menempatkan kamera <em>virtual</em> dalam lingkungan <em>virtual </em>secara otomatis sesuai dengan gaya seorang sutradara. Setiap kamera <em>virtual </em>itu akan memiliki perilaku yang berbeda berdasarkan kaidah sinematografi sehingga memiliki <em>Point of View</em> (POV) yang berbeda. Untuk memberikan perilaku pada kamera <em>virtual</em> akan digunakan pendekatan berbasis logika fuzzy dengan menggunakan metode <em>mamdani</em>. Jumlah variabel masukan yang digunakan sejumlah tiga dan variabel keluaran sejumlah tiga dengan <em>membership function </em>antara tiga sampai lima. Penelitian ini akan menggunakan simulasi permainan komputer dengan tiga kamera <em>virtual</em> dengan perilaku yang berbeda untuk merekam adegan yang sama dan hasilnya akan divalidasi berdasarkan hasil pengamatan dengan komunitas juru foto.  Pada akhirnya dapat diambil kesimpulan bahwa pendekatan logika fuzzy dapat digunakan untuk memberikan sebuah perilaku atau gaya sutradara pada kamera <em>virtual</em>.</p><p class="Abstrak"><strong>Abstract</strong></p><p class="Abstract">Computer technology is has been used widely in the development of animation or computer games. One of the technologies is machinima, a system that uses reak time 3D graphics engine technology to produce cinematic products. In the process of develop a cinematic product, camera positioning is a very important component. The camera positioning must be comply with cinematography’s rule. This research will propose an intelligent multi agent behavior to positining a virtual camera in a virtual environment automatically according to the director’s style. Each virtual camera will have a different behavior based on cinematographic rules so that it has a different Point of View (POV). To assign a behavior on the virtual camera will be based on  fuzzy logic using the mamdani method. The number of input variables are three and the output variables are three with the number membership functions between three to five. This research will program  a computer game simulation with three multi behavior virtual cameras to capture some scene and the results will be validated based on observations with the photographer community. Finally it can be concluded that the fuzzy logic approach can be used to assign some behavior to a virtual camera.</p>

scholarly journals Sistem Pengendalian Suhu dan Kelembaban Kumbung Jamur Tiram secara Realtime Menggunakan Esp8266

2019 ◽  
Vol 1 (1) ◽  
pp. 6
Author(s):  
Arafat Arafat ◽  
Desy Ika Puspitasari ◽  
Wagino Wagino
Keyword(s):  
Control System ◽  
High Temperature ◽  
Rapid Growth ◽  
Physical Factors ◽  
Mushroom Cultivation ◽  
Humidity Control ◽  
Turn On ◽  
Humidity Condition ◽  
Limit Setting ◽  
Temperature And Humidity

Oyster Mushroom is one of the high-value consumption mushrooms. The development of mushroom experienced rapid growth marked by the increasing number of farmers breeding mushroom is directly proportional to number of mushroom food business. The process of mushroom cultivation in mushroom’s greenhouse depends on physical factors such as temperature, humidity, light, pH of planting medium, and air aeration. Watering activity is done if the condition and humidity of mushroom's greenhouse was dry, three times a day at the morning, afternoon and evening. If the conditions of temperature and humidity fluctuate in the current seasons, it is not enough to be sprayed. High temperature and humidity fluctuations disturbed harvest. The results of this research are realtime temperature and humidity control system, esp8266 12-F and DHT22 sensor to read humidity value that can do watering and keep humidity greenhouse. The best humidity limit is 65% and maximum is 80%. If the humidity condition reaches 65%, then esp8266 will activate the relay to turn on the DC pump machine and nozzle spray. If humidity reached 80%, then esp8266 will turn off the DC pump. 80% humidity limit setting to avoid mushrooms from getting too wet. Humidity conditions monitored with android smartphone in realtime.

scholarly journals PENENTUAN KECEPATAN PUTAR KIPAS ANGIN DAN INTENSITAS LAMPU DENGAN FUZZY LOGIC MAMDANI

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Chyquitha Danuputri
Keyword(s):  
Fuzzy Logic ◽  
Light Intensity ◽  
Intelligent Systems ◽  
Smart Home ◽  
Room Temperature ◽  
Fuzzy Inference ◽  
Inference System ◽  
Fuzzy Logic Algorithm ◽  
Temperature And Humidity ◽  
The Republic

<p><em>Intelligent systems are one of the most important branches of the computer world. Computers are expected to be able to solve various problems in the real world, not just a tool for doing calculations. To make this system, algorithms are needed that are in accordance with the problems faced so that they can solve or produce the decisions needed to solve these problems appropriately. Mamdani fuzzy logic algorithm is one of the algorithms that can be applied in intelligent systems. Fuzzzy mamdani algorithm, is one part of the Fuzzy Inference System which is useful for making the best conclusion or decision in an uncertain problem. This research focuses on the calculation of the fuzzy logic algorithm in providing answers to the uncertainties found in smart home systems used to control the speed of a fan and lights, while the factors that become uncertain in controlling a fan are room temperature and humidity and For lamps, they have a factor of light intensity and time of the region, for these factors, the researchers use the Humanity Guide Hygiene standard reference for humidity and the Regulation of the Minister of Health of the Republic of Indonesia Number 1077 / Menkes / Per / V / 2011 concerning Guidelines for Air Sanitation in Home Spaces. Through this research, it can be seen that using the mamdani fuzzy logic algorithm can provide a result in the form of a decision to determine how fast a fan should rotate based on the temperature and humidity factors in the room as well as the level of light intensity that the lights must emit.</em><strong><em></em></strong></p>

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