Estimation of particulate matter and gaseous concentrations using low-cost sensors from broiler houses

Yasmeen, Roheela; Ali, Zulfıqar; Tyrrel, Sean; Nasir, Zaheer Ahmad

doi:10.1007/s10661-019-7582-1

Cited by 13 publications

(8 citation statements)

References 47 publications

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“…The search for more efficient solutions in broiler production requires optimizing a set of processes, which depend mainly on monitoring by sensors and equipment. In practice, it improves the use of tools by increasing precision, reducing errors, and supporting decision making (Sinduja et al, 2016;Amir et al, 2016;Yasmeen et al, 2019). The results of the present study suggest that this approach has the potential to improve strategies for controlling environmental conditions on farms during the production process, supporting automatic control.…”

Section: Resultsmentioning

confidence: 69%

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Benvenga

Nääs

Lima

et al. 2020

Braz. J. Poult. Sci.

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The present study aimed to apply the Simulated Annealing (SA) optimization algorithm to find the ideal control of broiler housing rearing environment at 21, 28, 35, and 42 days of growth. Data from four types of houses using environmental control and similar flock density were recorded weekly in the morning and afternoon, during two seasons (summer and winter). The variables related to environmental and air quality data (temperature, relative humidity, air velocity, ammonia, and carbon dioxide concentrations) were registered and organized into the database to provide a descriptive analysis. The ideal rearing conditions were established as a goal, and we used the Simulated Annealing optimization algorithm to process the data. Such an approach may be applied in the cases that the ideal condition of optimization has multiple objectives, and when each variable is the result of a process. The model was implemented considering the optimal controlled environmental condition that depends on the age of broilers. Results indicated that there was a large dispersion of the data collected from the environmental variables. The process suggested that the optimized functions lead to absolute values obtained by the algorithm for each of the environmental factors of the controlled environmental system, representing the optimal condition of the environment found for each broiler age, considering the interactions of the variables. The maximum optimization was prominent to 21 and 35-d old birds, representing 40-48% of the improvement of the process. 28 and 42-d old birds might benefit from the controlled environmental optimization process by up to 30%.

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Section: Resultsmentioning

confidence: 69%

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Benvenga

Nääs

Lima

et al. 2020

Braz. J. Poult. Sci.

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show abstract

“…The wireless data transmission technologies commonly used by wireless sensors include ZigBee, GPRS/4G, WI-FI, 433MHz, NB-IoT, and LoRa, which are currently receiving significant attention in the field of environmental factor acquisition equipment. Yasmeen et al [42] used low-cost sensors to exploratively monitor PM and gas concentrations in controlled-environment facilities. Ali et al [43] developed a suite of inexpensive, open-source devices based on the Arduino platform, which were used to measure and record long-term indoor environmental and building operational data, including air velocity, ground temperature, air relative humidity, human living conditions, light intensity, CO 2 concentration, etc.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

et al. 2023

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The environment in livestock and poultry houses plays an important role in the growth and reproduction of livestock and poultry. In order to obtain the environmental conditions of livestock and poultry houses in a timely and reliable manner, and eliminate adverse environmental factors, scholars have been exploring various methods to obtain and predict environmental factors. This paper reviewed the literature from the last 10 years, specifically focusing on technologies for detecting environmental factors in livestock and poultry houses, which can be mainly divided into three categories: research on the environmental monitoring and control of livestock and poultry houses based on detection equipment and wireless sensor technology; research on the distribution and regularity of environmental factors in livestock and poultry houses based on a mathematical model; research on the environmental simulation and detection of livestock and poultry houses based on computer technology. The current testing methods have their advantages and disadvantages. When studying environmental factors, researchers should choose the most appropriate method for data acquisition according to the actual situation. The proposed recommendations for achieving this goal are as follows: (1) The control of environmental factors should be combined with the physiological response of livestock and poultry. The needs of animals should be considered; (2) Novel approaches need to be developed to integrate energy requirements into the environmental regulation of livestock and poultry houses; (3) It is necessary to research and develop control models and strategies that can predict the environment in the houses, and the transient simulation method should be further explored; (4) Improve environmental detection and control accuracy through the coupling of different technologies.

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“…[2011]1041) and literature [31][32] thus should have reliabilities. As known, however, the actual emission factor of each specific livestock is related to the age and weight [26,34,[43][44], geographical location [45], farming temperature [21] and feed composition [46] and other factors. Therefore, the constant emission factor of each livestock type certainly brought some uncertainty.…”

Section: Relationship Between Livestock-derived Nh 3 Emission and Atmospheric Particulate Matter Concentrationmentioning

confidence: 99%

“…Moreover, the impact of livestock-derived NH 3 emission on regional atmospheric particulate matter pollution is a hot research topic [23]. The current researches mainly focus on the three aspects of small region [24], facility farming [25][26][27] and atmospheric particulate matter formation mechanism [12]. On a regional scale, however, the spatio-temporal emissions of NH 3 , N 2 O and CH 4 from livestock farming as well as the relationships between NH 3 and atmospheric particulate matter pollution have not been sufficiently investigated.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Emissions of Ammonia and Greenhouse Gases from Livestock and Its Relation to Atmospheric Particulate Matter Pollution in the Beijing-Tianjin-Hebei Region

Guo¹,

Chen²,

Guo³

et al. 2022

Pol. J. Environ. Stud.

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Livestock farming sector is an important anthropogenic emission source of ammonia (NH 3 ) and greenhouse gases including nitrous oxide (N 2 O) and methane (CH 4 ). The NH 3 , not N 2 O and CH 4 , is known as an important gaseous precursor to cause atmospheric particulate matter (PM) pollution. However, the relationship between livestock-derived NH 3 and atmospheric PM pollution has not been sufficiently investigated, especially in the developed regions with serious air pollution. Here, we studied the spatio-temporal emissions of NH 3 , N 2 O and CH 4 from livestock farming as well as the relationship between livestock NH 3 emission and atmospheric PM pollution in the Beijing-Tianjin-Hebei Region, one of the most developed and air polluted area in China. Over the past 40 years, livestock-derived emissions of NH 3 , N 2 O and CH 4 had experienced four temporal stages

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Estimation of particulate matter and gaseous concentrations using low-cost sensors from broiler houses

Cited by 13 publications

References 47 publications

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Optimization Algorithm Applied to Environmental Control in Broiler Houses

Environmental Factor Detection and Analysis Technologies in Livestock and Poultry Houses: A Review

Spatio-Temporal Emissions of Ammonia and Greenhouse Gases from Livestock and Its Relation to Atmospheric Particulate Matter Pollution in the Beijing-Tianjin-Hebei Region

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