IoT based Smart Management of Poultry Farm and Electricity Generation

Sitaram, Kadam Anaji; Ankush, K.; Anant, Kadam Nikhil; Raghunath, Bane Raman

doi:10.1109/iccic.2018.8782308

Cited by 35 publications

(13 citation statements)

References 4 publications

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“…Moreover, these diseases can make a mark on food safety if infected meat or eggs are consumed. 12 An autoclassification system is required to identify the sick birds among the entire flock to avoid spreading of diseases. It propels the poultry farming toward automation.…”

Section: Introductionmentioning

confidence: 99%

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A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

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The rapid growth of human population and frequent changes in environmental conditions pose challenges in providing nutrient-rich food to the current population. The demand for poultry products is increasing exponentially as they are a good source of low-cost proteins. Ensuring the well-being of birds and delivering nutritious poultry products is essential for both current and future food security needs and sustainable agriculture. This article is motivated by the potential of emerging digital technologies in agriculture to provide innovative solutions to challenges faced by farmers, particularly in poultry farming. It aims to shed light on various issues encountered by farmers like diseases on poultry farms and offers valuable insights for researchers seeking to address these challenges using the advancements in digital technologies. Precision farming in poultry involves leveraging technologies such as the internet of things, artificial intelligence, and edge computing to enhance animal health management. A smart poultry farm maintains the farm environment and detects diseases at early stage in the chickens. The farm resources are utilized optimally in the smart poultry farm. This research work provides a systematic literature review of intelligent systems designed for (i) poultry birds' health and welfare management using technologies like the internet of things (IoT), artificial intelligence, cloud computing, and edge computing and (ii) early disease detection, estimation of weight, and feeding behavior of birds with the use of computer vision and vocalization analysis. This article also explores various sensors employed in the development of IoT infrastructure. It has been demonstrated in the literature that modern digital technologies automate the management operations of poultry farms. As a result, the farmer's income increases, and high-quality food products are available to people at low cost.

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Section: Introductionmentioning

confidence: 99%

“…As a result, production is affected and mortality in the poultry farm increases. Moreover, these diseases can make a mark on food safety if infected meat or eggs are consumed . An autoclassification system is required to identify the sick birds among the entire flock to avoid spreading of diseases.…”

Section: Introductionmentioning

confidence: 99%

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

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“…In particular, in Korea, FT was the most serious bacterial disease in poultry in 1992, and it occurred in a total of 983 farms from 2000 to 2008, causing economic damage [13]. Clinical signs found in such FT-infected broilers include decreased growth rate, loss of appetite and dullness, decreased activity, increased thirst, droopy wings and typical loose greenish-yellow diarrhea [10,14,15] Automation plays an important role in the poultry industry worldwide [16]. Automated systems operating through remote monitoring and control systems must store large amounts of data obtained through monitoring and enable easy access and real-time decision-making based on the recorded data [17].…”

Section: Introductionmentioning

confidence: 99%

“…Such systems can reduce the cost and labor required for livestock production and improve livestock production and quality. In addition, it would make it possible to identify abnormal behavior and symptoms in livestock and prevent disease outbreaks, thereby minimizing economic damage to farms [1,16,18]. Recently, automated systems have been developed based on poultry behavior or sounds, such as walking, standing, running, resting, sneezing, abnormal vocalizations, feeding sounds, and sound vibration frequencies [1,[19][20][21].…”

Section: Introductionmentioning

confidence: 99%

The potential of non-movement behavior observation method for detection of sick broiler chickens

Kim¹,

Lee²,

Jang³

et al. 2022

J Anim Sci Technol

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ORCID (for more information, please visit https://orcid.org) Hyunsoo Kim (https://orcid.org/0000-0001-8887-1318) Woo-Do Lee (https://orcid.org/0000-0003-4861-4637) Hyung-Kwan Jang (https://orcid.org/0000-0003-3542-3620) Min Kang (https://orcid.org/0000-0001-5650-1144) Hwan-Ku Kang (https://orcid.org/0000-0002-4286-3141) Competing interestsNo potential conflict of interest relevant to this article was reported.

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“…On the other hand, in [13], it was indicated the vital role in the automation of poultry farms. In this research, a monitoring system with IoT for poultry farms was developed; an electricity supply from manure was also implemented.…”

Section: Introductionmentioning

confidence: 99%

Prototype of a System for Quail Farming with Arduino Nano Platform, DHT11 and LM35 Sensors, in Arequipa, Peru

Cosi¹,

Vargas-Cuentas²

2021

IJETAE

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— Quail farming ranks 3rd at the national level for poultry production and has growth projections of 3.9% in the coming years. In Peru, due to the decreases in temperature and cold in the southern part of the country, it presents a significant problem to the development of quail farms, of which its primary derivative is the egg that provides food contributions to the population and only with the 18.1% cholesterol compared to the eggs of other birds. This study aims to develop an automatic farm system to increase the production in the laying stage of quails in the homes of Arequipa. The control system was developed with the Arduino Nano platform, DHT11, LM35 sensors, actuators such as a 25W bulb, a fan, and a humidifier, which allow continuous temperature and humidity control. In addition, all the variables can be visualized through an LCD screen. A simple 3D model was developed with a capacity of between 10 and 25 quails. In charge of the control processes, the Arduino module reached an error rate of 0.9% in the temperature variable, and the humidity variable does not present an error rate. The total power of the prototype was measured and converted into a monetary value. Average power of 0.02667 kW / hour was obtained, which is reflected in a saving of 82.22% compared to using a 100W bulb. Keywords— Poultry production, farm quail, quail egg, automation, Arduino.

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IoT based Smart Management of Poultry Farm and Electricity Generation

Cited by 35 publications

References 4 publications

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

The potential of non-movement behavior observation method for detection of sick broiler chickens

Prototype of a System for Quail Farming with Arduino Nano Platform, DHT11 and LM35 Sensors, in Arequipa, Peru

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