Internet of things-based smart control and comfort classification system for broiler chicken coops using k-nearest neighbor algorithm.
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| Title: | Internet of things-based smart control and comfort classification system for broiler chicken coops using k-nearest neighbor algorithm. |
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| Authors: | Amiroh, Khodijah1 dijaamirah@telkomuniversity.ac.id, Widyantara, Helmy1 helmywidyantara@telkomuniversity.ac.id, Hariyanto, Muhammad Dwi1 mdwihariyanto@telkomuniversity.ac.id |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Apr2026, Vol. 16 Issue 2, p1039-1050. 12p. |
| Subjects: | K-nearest neighbor classification, Intelligent control systems, Environmental monitoring, Internet of things, Broiler chickens, Chicken coops, Energy consumption |
| Abstract: | The poultry industry increasingly relies on environmental automation to improve broiler chicken welfare and productivity. Prior studies have implemented threshold-based systems to control coop conditions, typically activating actuators based on fixed values of temperature or humidity. However, such systems lack adaptability to dynamic environmental interactions and often result in inefficient energy use and overactivation. This study proposes a novel low-cost Internet of things (IoT)-based smart poultry coop system that combines real-time environmental sensing with comfort classification using the k-nearest neighbor (KNN) algorithm. The system monitors temperature, humidity, and ammonia levels through affordable sensors integrated with an ESP32 microcontroller, then transmits data via message queuing telemetry transport (MQTT) to a remote server for classification and control decision-making. Control logic is applied to activate fans, heating lamps, or humidifiers accordingly. Evaluation on a mini coop prototype demonstrated a classification accuracy of 92.2% and a 34% reduction in actuator overactivation compared to threshold-based systems. Environmental stability improved by 23%, and energy usage decreased by 12.6%. The system also features user interfaces via Telegram and Blynk, proven intuitive through informal testing. These results validate the feasibility of integrating machine learning into small-scale poultry environments, offering an intelligent, scalable, and user-friendly solution that outperforms traditional methods. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 192718367 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Internet of things-based smart control and comfort classification system for broiler chicken coops using k-nearest neighbor algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Amiroh%2C+Khodijah%22">Amiroh, Khodijah</searchLink><relatesTo>1</relatesTo><i> dijaamirah@telkomuniversity.ac.id</i><br /><searchLink fieldCode="AR" term="%22Widyantara%2C+Helmy%22">Widyantara, Helmy</searchLink><relatesTo>1</relatesTo><i> helmywidyantara@telkomuniversity.ac.id</i><br /><searchLink fieldCode="AR" term="%22Hariyanto%2C+Muhammad+Dwi%22">Hariyanto, Muhammad Dwi</searchLink><relatesTo>1</relatesTo><i> mdwihariyanto@telkomuniversity.ac.id</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Apr2026, Vol. 16 Issue 2, p1039-1050. 12p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22K-nearest+neighbor+classification%22">K-nearest neighbor classification</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+control+systems%22">Intelligent control systems</searchLink><br /><searchLink fieldCode="DE" term="%22Environmental+monitoring%22">Environmental monitoring</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Broiler+chickens%22">Broiler chickens</searchLink><br /><searchLink fieldCode="DE" term="%22Chicken+coops%22">Chicken coops</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The poultry industry increasingly relies on environmental automation to improve broiler chicken welfare and productivity. Prior studies have implemented threshold-based systems to control coop conditions, typically activating actuators based on fixed values of temperature or humidity. However, such systems lack adaptability to dynamic environmental interactions and often result in inefficient energy use and overactivation. This study proposes a novel low-cost Internet of things (IoT)-based smart poultry coop system that combines real-time environmental sensing with comfort classification using the k-nearest neighbor (KNN) algorithm. The system monitors temperature, humidity, and ammonia levels through affordable sensors integrated with an ESP32 microcontroller, then transmits data via message queuing telemetry transport (MQTT) to a remote server for classification and control decision-making. Control logic is applied to activate fans, heating lamps, or humidifiers accordingly. Evaluation on a mini coop prototype demonstrated a classification accuracy of 92.2% and a 34% reduction in actuator overactivation compared to threshold-based systems. Environmental stability improved by 23%, and energy usage decreased by 12.6%. The system also features user interfaces via Telegram and Blynk, proven intuitive through informal testing. These results validate the feasibility of integrating machine learning into small-scale poultry environments, offering an intelligent, scalable, and user-friendly solution that outperforms traditional methods. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v16i2.pp1039-1050 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 1039 Subjects: – SubjectFull: K-nearest neighbor classification Type: general – SubjectFull: Intelligent control systems Type: general – SubjectFull: Environmental monitoring Type: general – SubjectFull: Internet of things Type: general – SubjectFull: Broiler chickens Type: general – SubjectFull: Chicken coops Type: general – SubjectFull: Energy consumption Type: general Titles: – TitleFull: Internet of things-based smart control and comfort classification system for broiler chicken coops using k-nearest neighbor algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Amiroh, Khodijah – PersonEntity: Name: NameFull: Widyantara, Helmy – PersonEntity: Name: NameFull: Hariyanto, Muhammad Dwi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 04 Text: Apr2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 2 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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