Design and Implementation Automated Egg Incubator

Ate, Abdelrahim

doi:10.52981/fjes.v10i1.714

Cited by 2 publications

(2 citation statements)

References 3 publications

(4 reference statements)

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“…Reference [12] proposed a control system to control the temperature and humidity, they used the proteus Reference [14] presented the concept and construction of an incubator for chicken eggs. The goal was to develop and create an Intelligent Egg Incubator that can produce chicken eggs autonomously.…”

Section: Literature Survey On Related Workmentioning

confidence: 99%

Smart Egg Incubator Based on Microcontroller: A Review

Izadeen

Kocher

2022

ACAD J NAWROZ UNIV

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Artificial egg incubators are devices that are used to incubate and hatch eggs by maintaining the necessary conditions for fetal development within the egg. Any egg that is being incubated requires a great deal of attention and temperature control. This is accomplished by the use of a temperature control device that runs on electricity. Incubator temperatures are often kept between (98 and 100) degrees Fahrenheit. Even yet, only 78 to 85% of eggs will hatch. To increase the hatchability of the incubator unit, many recommendations are made. Moisture content is another essential consideration that should be stated in the range of 60% to 80%. While hatching the eggs in an incubator unit, there are a number of important aspects to consider. However, the most crucial component is to keep the temperature range within acceptable limits. In this respect, there are many research papers accessible. In general, this article reviewed latest 21 works in literature and provided a complete analysis of a number of ways to control temperature, humidity, and eggs rotation based on microcontrollers to provide a solution to the poultry industry in developing nations. A comparative analysis for recent incubator design approaches in literature is presented by this study including the works of five recent researchers such as, brief discussion of their objectives, problems they try to fix, methodology, preliminary results, and the decision made on each work. Finally, based on reviewing analysis, there is a gap that has not been covered, that is, the remote control and monitoring of the incubator using Internet of Things (IoTs) technology. This function is essential for the incubator to be accessible to boost the product and reduce the malfunction causing product and time losses.

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Section: Literature Survey On Related Workmentioning

confidence: 99%

Smart Egg Incubator Based on Microcontroller: A Review

Izadeen

Kocher

2022

ACAD J NAWROZ UNIV

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“…Research [15] was applied to the first 15 days of chicks, and used zero crossing methods, other methods are still needed.In [16], there already humidity and temperature controllers. But this research using on and Off controller, and can still be enhanced using more sophisticated controller.…”

Section: Introductionmentioning

confidence: 99%

Egg Incubator Temperature and Humidity Control Using Fuzzy Logic Controller

Maulana¹,

Fathurrohman²,

Wibisono³

2023

J. RESTI (Rekayasa Sist. Teknol. Inf.)

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Controlling room temperature and humidity in egg incubator systems is a process that is widely used in the farm. A good temperature and humidity for standard egg hatching is between 35℃ – 40℃, with humidity in the machine ranging from 50%-60%. The main problems of our research is to find the robustness of the fuzzy logic controller, using the proper parameter. Because while the particular parameter is applicable for one case, but after using several times, the controller lost its robustness. Therefore, this study aims to create a system to control the temperature and humidity of the egg incubator with fuzzy control using the Sugeno methods. In order to get the input and output values, namely by connecting the DHT22 sensor to measure temperature and humidity to be processed into the microcontroller, the value obtained from the sensor will then be processed. The use of fuzzy control is used to make several stages, namely fuzzification, rule, and defuzzification which after processing will be used as output weights for the actuators used. In order to get the robust parameter, test was carried out 5 times with a test time of 18 minutes to get a stable value from the tool. By applying this, it can be concluded whether the system is reliable during different situation. The result shows that the average time for the system to get a stable humidity is 302 second. On the other hand, the average time for the system to get stable temperature is 342 second. The Mean Squared error for temperature is 1,715, while the Mean Squared Error for Humidity is 5,294. It can be concluded that the system controlled by fuzzy controller is robust, has a fast response and reliable.

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Design and Implementation Automated Egg Incubator

Cited by 2 publications

References 3 publications

Smart Egg Incubator Based on Microcontroller: A Review

Smart Egg Incubator Based on Microcontroller: A Review

Egg Incubator Temperature and Humidity Control Using Fuzzy Logic Controller

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