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This paper presents a smart system using Internet of things (IoT) for monitoring and controlling environmental conditions of poultry farming. Environmental parameters such as temperature, humidity, and air quality in a poultry house which are vital for the survival of poultry birds were monitored in order to adequately nurture poultry birds, reduce mortality rate and improve production. The system utilizes ESP32 microcontroller which has embedded Wi-Fi function, DHT11 temperature and humidity sensor, the PIR motion detector sensor, and MQ135 gas detector sensor. In addition, a buzzer was added to alert the farmer in the event of an intruder, while the integrated Wi-Fi unit would send a message to the farmer. Furthermore, the proposed system controls the brightness of a lamp inside the poultry house to either increase or reduce its temperature. This work which is a prototype, was implemented in a small poultry house. All the tests carried out illustrated that the designed system is sufficient and that the aim has been achieved.
As ethical and environmental concerns regarding current poultry production systems arise, consumers look for alternatives. This study assesses consumers’ preferences for chicken meat of dual-purpose breeds (DPBs), regionally produced feedstuff, and specific breeds, along with attitudes and social norms that explain these preferences. We conducted an online survey (n = 934) including a discrete choice experiment and elements of the theory of planned behavior. Results show that after price, product and feedstuff origin are preferred by consumers, followed by breeding form and specific breed. Utilities for each attribute and level were calculated and consumer segments were created using latent class analysis. Three different consumer groups were identified: (1) price-sensitive consumers, (2) price-sensitive and origin-oriented consumers, and (3) origin-oriented consumers. We conclude that although consumers are interested in meat from DPBs, this attribute alone is not enough to influence the purchase decision, and geographical origin seems to be of crucial importance. However, by highlighting important attributes (i.e., animal welfare, regional/local production), DPB products could be introduced to the market. The consumption of these alternative products has economic implications, such as not relying on imports and promoting local production/consumption, along with social implications as refraining from killing day-old chicks.
An elevated brooding temperature during the first wk post hatch of broilers may potentially increase activity levels and reduce welfare problems in terms of non- and slow-starters, lameness, and contact dermatitis. The effects of an elevated brooding temperature the first 7 d post hatch on behavior, welfare, and growth of Ross 308 broilers were investigated. Groups of 28 broilers (14 males and 14 females) were distributed in a balanced way according to their hatching weight (below or above mean), the age of parent breeders (28 or 50 wk of age), and initial brooding temperature (normal 33°C; warm: 37°C) resulting in 8 different treatment groups. Behavioral data were collected on d zero to 6 of age, data on body weight on d zero, 7, 21, and 34 of age, and data on gait and contact dermatitis on d 21 and 34 of age. An elevated brooding temperature resulted in increased body temperature of broilers 5 h after placement (39.9 ± 0.04°C vs. 39.1 ± 0.04°C; P < 0.0001) whereas no difference was found 24 h after placement (P = 0.35). Broilers reared with elevated brooding temperature initiated feeding and drinking earlier, apart from broilers with low hatching weight from old parent breeders (P < 0.0001). They also showed higher activity levels from d one to 6 of age (P < 0.0001) and a higher inter-individual distance at d zero and one of age (P < 0.0001). Broilers with a high hatching weight reared at normal brooding temperature had a higher prevalence of hock burns at d 34 of age (P = 0.001). Broilers reared at elevated brooding temperature had lower body weight at d 7 of age (P < 0.0001); however, no difference appeared from d 21 of age (P = 0.58). No effect of brooding temperature was found on body weight uniformity (P = 0.81). In conclusion, the welfare of broilers may be improved from an elevated brooding temperature the first 7 d post hatch without affecting body weight uniformity and final body weight.
Traditional animal production techniques are usually labour intensive and driven by very slim margins. These margins are subject to variables such as meat and milk prices, growth rates of animals, governmental policy changes and seasonal changes in cereal and crop prices, coupled with the volatile risk of infectious disease resulting in livestock losses, increased veterinary inputs and reduced meat prices. However, the world population is rapidly increasing; world meat production is predicted to double by 2050 (FAO, 2009). As a result, farming techniques are shifting towards intensification, with farmers producing growing numbers of animals on the same quantity of land.
During the past few decades there has been a notable increase in the demand for poultry meat due to its low cost, good nutritional profile and suitability for further processing. Moreover, current forecasts and projection studies have predicted that the expansion of the poultry market will continue in the future. This growing demand has led to progressive improvements in genetic selection to produce fast-growing broilers, inducing the appearance of several spontaneous, idiopathic muscle abnormalities along with an increased susceptibility to stress-induced myopathy. Such muscle abnormalities have several implications for the quality of fresh and processed products, as breast meat that is affected by deep pectoral myopathy is usually rejected due to its unacceptable appearance. In addition, pale, soft and exudative like meat has a low processing ability due to its reduced water holding capacity, soft texture and pale colour. Finally, the high incidence of abnormalities observed in chicken breast muscles such as white striping (characterised by superficial white striations) and wooden breast (characterised by pale and bulging areas of substantial hardness) impair both the appearance and technological traits of breast meat. This review evaluates the consequences of genetic selection on muscle traits and describes the relevance of major breast abnormalities on nutritional, technological, sensorial and microbial characteristics of raw and processed meat.
As the world’s population increases, demand for poultry products will continue to increase. To meet this demand, one candidate mechanism to increase production is to increase housing and manage more birds. However, this practice, along with labour shortages and increasing biosecurity practices will make it increasingly difficult for producers to monitor the production, health, and welfare status of all their birds. Employing smart poultry management systems is necessary to increase production while minimizing costs and the use of resources. Smart poultry management systems include precision livestock farming (PLF) technologies such as smart sensors, automation of farm processes, and data driven decision making platforms. Many new technologies will have great implications for poultry production in the areas of the poultry house environment, bird welfare, precision feeding, and rapid detection of infectious disease. As smart sensors collect data in real-time on a variety of parameters from poultry operations, large amounts of data will be generated. To make best use of this data, big data analytical tools must be employed to produce data driven decisions. Additionally, the devices that will be incorporated into smart poultry management systems will be connected to the Internet allowing for the formation of Internet of things (IoT) farm networks. IoT technologies allow for communication between farm sensors, devices, and equipment, and will lead to the automation of multiple farm procedures. The following review discusses the areas of impact that new smart sensor technologies will have on poultry operations and describes how sensor technology is related to big data analytics and IoT systems, and how these technologies can enhance production in the poultry industry. Additionally, challenges to the described systems and technologies will also be highlighted and discussed.
The topics discussed in this paper are the changing demand for meat and the factors that influence this demand. These factors include increased health concerns, change in demographics, the need for convenience, changes in the distribution of meat, and price. Finally, the paper covers the meat industry's need for understanding the consumer and the measurement methods used to assess consumer preferences.
Canadian poultry -precision livestock farming
Dallimore, K. (2017). Canadian poultry -precision livestock farming.
Smart Poultry Farm Monitoring Using IOT and Wireless Sensor Networks
R B Mahale
S S Sonavane
Mahale, R.B. and Sonavane, S.S. (2016). Smart Poultry Farm Monitoring Using IOT and
Wireless Sensor Networks. International Journal of Advanced Research in Computer
Science, 7(3), 187-190. http://www.ijarcs.info/index.php/Ijarcs/article/view/2665.