Emission of CO2 in a livestock barn based on diurnal activities and various growing stages of pigs-Reference-Cited by-同舟云学术

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Emission of CO2 in a livestock barn based on diurnal activities and various growing stages of pigs

Published:2023-03-30 Issue:7 Volume:16 Page:1443-1454
ISSN:1873-9318
Container-title:Air Quality, Atmosphere & Health
language:en
Short-container-title:Air Qual Atmos Health

Author:

Deb Nibas Chandra,Basak Jayanta Kumar,Paudel Bhola,Kim Na Eun,Moon Byeong Eun,Kim Hyeon Tae

Funder

Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Management, Monitoring, Policy and Law,Atmospheric Science,Pollution

Link

https://link.springer.com/content/pdf/10.1007/s11869-023-01352-x.pdf

Reference52 articles.

1. Arulmozhi E, Basak JK, Sihalath T, Park J, Kim HT, Moon BE (2021) Machine learning-based microclimate model for indoor air temperature and relative humidity prediction in a swine building. Animals 11(1):1–24. https://doi.org/10.3390/ani11010222

2. Atkinson S, Algers B, Pallisera J, Velarde A, Llonch P (2020) Animal welfare and meat quality assessment in gas stunning during commercial slaughter of pigs using hypercapnic-hypoxia (20% CO2 2% O2) compared to acute hypercapnia (90% CO2 in air). Animals 10:1–16. https://doi.org/10.3390/ani10122440

3. Basak JK, Arulmozhi E, Moon BE, Bhujel A, Kim HT (2022a) Modelling methane emissions from pig manure using statistical and machine learning methods. Air Qual Atmos Heal 15:575–589. https://doi.org/10.1007/s11869-022-01169-0

4. Basak JK, Eun N, Shahriar SA, Paudel B, Moon BE, Kim HT (2022b) Applicability of statistical and machine learning – based regression algorithms in modeling of carbon dioxide emission in experimental pig barns. Air Qual Atmos Heal https://doi.org/10.1007/s11869-022-01225-9

5. Basarab J, Baron V, López-Campos Ó et al (2012) Greenhouse gas emissions from calf- and yearling-fed beef production systems, with and without the use of growth promotants. Animals 2:195–220. https://doi.org/10.3390/ani2020195

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1. Estimation of Energy Balance throughout the Growing–Finishing Stage of Pigs in an Experimental Pig Barn;Agriculture;2024-05-30

2. Modelling of Animal Activity, Illuminance, and Noise on a Weaned Piglet Farm;Animals;2023-10-19

3. Prediction of body composition in growing-finishing pigs using ultrasound based back-fat depth approach and machine learning algorithms;Computers and Electronics in Agriculture;2023-10

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