Iot Based Smart Poultry Farming using Commodity Hardware and Software

Handigolkar, Lata S.; Kavya, M; Veena, P.

doi:10.9756/bijsesc.8269

Cited by 18 publications

(6 citation statements)

References 2 publications

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“…The surveillance methods for Carbon Dioxide (CO 2 ), Hydrogen Sulfide (H 2 S), Methane (CH 4 ), Carbon Monoxide (CO), other gases, PM 2.5 , and other dust were investigated in [35]. Table 1 shows the state of the art in poultry barn research and implementation, environmental information surveillance technology, it concentrates primarily on temperature and humidity, Illumination, Wind speed, and concentration of noxious gases or particles (NH 3 , CO 2 , CO, H 2 S, CH 4 , O 2 , PM 2.5 ).…”

Section: Noxious Gases and Dustmentioning

confidence: 99%

Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Jebari

Mechkouri

Rekiek

et al. 2023

Int. J. Interact. Mob. Technol.

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Poultry farms have played a significant role throughout human history, in feeding the growing population. A good environment is a perfect condition for the growth of poultry, preventing disease, and effective production. The temperature higher and the humidity favor the growth of bacteria and hence the production of ammonia (NH3) by the decomposition of organic matter. Ammonia (NH3), carbon monoxide (CO), and carbon dioxide (CO2), Methane (CH4), hydrogen sulfide (H2S) are poisonous gases that can cause poultry diseases and mortality. The combination of Artificial Intelligence (AI), Internet of Things (IoT), and Edge Computing offer efficient and intelligent stand-alone systems of monitoring in real-time, predicting, and advanced automation. The paper aims to monitor in real-time and predict poultry barns' environmental conditions using an artificial intelligence algorithm. An intelligent system called Poultry-Edge-AI-IoT has been developed to gather, hash, store, pretreat, filter, knowledge extract, and transmit information from a heterogeneous wireless sensor network. The Poultry-Edge-AI-IoT system is based on IoT, AI, and Edge Computing for the detection of potential stress, the harmful gas concentration, and the prediction of poultry barns' environmental conditions. The system is modular and upgradeable.

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Section: Noxious Gases and Dustmentioning

confidence: 99%

Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Jebari

Mechkouri

Rekiek

et al. 2023

Int. J. Interact. Mob. Technol.

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“…Konsep Smart Farming yang diharapkan peternakan berbasis IoT menggunakan komoditas pertanian perangkat keras danperangkat lunak. Smart Farm bisa melihat setiap informasi yang diubah berasal dari semi-otomatis mikroprosesor, mengkhawatirkan semua notifikasi ke orang yang terhubung computer [16]. Namun, pada penelitian ini sistem yang berbasis IoT ini dapat diakses melalui smartphone karena ada aplikasi yang terhubung dengan koneksinya.…”

Section: Pendahuluanunclassified

Analisis Sistem Otomatisasi Kandang Ayam Boiler Berbasis IoT

Yasi

Candra

2022

juste

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Industri perunggasan banyak diminati dikarenakan hanya membutuhkan waktu yang singkat dalam proses panen yaitu 5-6 minggu. Meskipun peternakan ayam broiler merupakan bisnis yang menjanjikan akan tetapi, pemeliharaan dan penempatan lokasi kandang ayam pedaging memegang peranan yang penting dikarenakan masih memiliki beberapa masalah yang belum terselesaikan. Penelitian ini menggunakan metode eksperimen dengan melibatkan beberapa variabel. Pada penelitian ini terdapat 2 variabel, yaitu variabel bebas yaitu adalah suhu, kelembapan dan kuantitas pakan. Variabel terikat pada penelitian ini adalah sistem monitoring dan controlling berbasis IoT menggunakan NODEMCU ESP8266 dan LCD 16x2. Perancangan dilakukan dengan menggunakan sensor-sensor dan aktuator yang disesuaikan parameter pada penelitian. Hasil analisis data dan pembahasan menunjukkan bahwa sistem monitoring dan controlling pada kandang ayam berjalan dengan baik, pengiriman data yang dilakukan oleh NodeMCU Esp8299 dapat disimpan didalam database dan selanjutnya dapat dimonitoring dan dikontrol oleh pengguna. Pembacaan sistem monitor suhu dan kelembaban dari sensor DHT22 dengan hasil cukup akurat pembacaan sensor DHT22 dengan rata-rata selisih pembacaan suhu 0.0065% hingga 0.0140% dari ketiga percobaan.

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“…Kendala penting lainnya adalah berbagi pengetahuan yang salah dan kearifan rakyat dalam peternakan ayam yang mempengaruhi efisiensi penelitian ini bertujuan untuk membuat model baru dengan menggunakan yang modern teknologi yang diterapkan pada peternakan ayam yang dikenal sebagai "Cerdas Peternakan "atau" Peternakan Cerdas", yang diharapkan akan bersih peternakan unggas pintar berbasis IoT menggunakan komoditas pertanian perangkat keras dan perangkat lunak. Smart Farm bisa melihat setiap informasi yang diubah berasal dari semi-otomatis mikroprosesor, mengkhawatirkan semua notifikasi ke orang yang terhubung komputer [3]. Namun, pada alat kami sistem yang berbasis IoT ini, bisa diakses melalui handphone juga karena ada aplikasi yang terhubung dengan koneksinya.…”

Section: B State Of Art Penelitianunclassified

Monitoring System for Broiler Chicken Farms Based on Internet of Things (IoT)

Masriwilaga

Al-hadi²,

Subagja³

et al. 2019

Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan

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In this study, the author made a monitoring system for dangerous gas levels, temperature and humidity in the chicken coop. This system can inform air quality in the form of ammonia gas, methane gas, temperature and humidity contained in the chicken coop and provide readings of gas data that are considered dangerous, unstable temperature and humidity to workers in the chicken coop and can be viewed on a platform basis. The system generally consists of two sensors, namely the DHT11 sensor to detect temperature and humidity in the chicken coop, and the MQ135 sensor to detect ammonia gas levels in the chicken coop, and connect to the internet network through the ESP8266 module with the Arduino Mega 2560 microcontroller which aims to upload data sensors to the Firebase web and displayed in graphical form as a means of information on the chicken coop. The test is carried out in three stages, namely connectivity, functionality, and delay. The connectivity test proves that ESP8266 can be connected to Access Points and internet networks, functionality tests prove that sensors can read gas, temperature and humidity and retrieve data. And lastly is testing delay, which is counting the length of the process from the beginning of sensor reading to data up to Firebase's Internet of Things (IoT) -based web. From the results of calculations that have been done in testing, it was found that the time needed for one shipment takes as much as 5-19 seconds. Of course, this time can change because there are aspects that can inhibit internet connection, the number of devices connected to an internet network, but the purpose of this research has been completed with what was expected. Keywords : Hazardous Gas, Temperature and Humidity, Gas Sensors and Temperature and Humidity Sensors, Firebase.

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Iot Based Smart Poultry Farming using Commodity Hardware and Software

Cited by 18 publications

References 2 publications

Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Poultry-Edge-AI-IoT System for Real-Time Monitoring and Predicting by Using Artificial Intelligence

Analisis Sistem Otomatisasi Kandang Ayam Boiler Berbasis IoT

Monitoring System for Broiler Chicken Farms Based on Internet of Things (IoT)

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