FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386256250> ?p ?o ?g. }

• W4386256250 endingPage "1706" @default.
• W4386256250 startingPage "1706" @default.
• W4386256250 abstract "This paper pioneers a novel exploration of environmental impacts in livestock farming, focusing on pig farming’s intersection with climate change and sustainability. It emphasizes the transformative potential of data-driven Artificial Intelligence (AI) methodologies, specifically the Internet of Things (IoT) and multimodal data analysis, in promoting equitable and sustainable food systems. The study observes five pigs aged 86 to 108 days using a tripartite sensor that records heart rate, respiration rate, and accelerometer data. The unique experimental design alternates between periods of isolation during feeding and subsequent pairing, enabling the investigation of stress-induced changes. Key inquiries include discerning patterns in heart rate data during isolation versus paired settings, fluctuations in respiration rates, and behavioral shifts induced by isolation or pairing. The study also explores the potential detection of gait abnormalities, correlations between pigs’ age and their gait or activity patterns, and the evolution of pigs’ walking abilities with age. The paper scrutinizes accelerometer data to detect activity changes when pigs are paired, potentially indicating increased stress or aggression. It also examines the adaptation of pigs to alternating isolation and pairing over time and how their heart rate, respiration rate, and activity data reflect this process. The study considers other significant variables, such as time of day and isolation duration, affecting the pigs’ physiological parameters. Sensor data are further utilized to identify behavioral patterns during periods of feeding, isolation, or pairing. In conclusion, this study harnesses IoT and multimodal data analysis in a groundbreaking approach to pig welfare research. It underscores the compelling potential of technology to inform about overall pig welfare, particularly stress levels and gait quality, and the power of data-driven insights in fostering equitable, healthy, and environmentally conscious livestock production systems." @default.
• W4386256250 created "2023-08-30" @default.
• W4386256250 creator A5018954036 @default.
• W4386256250 date "2023-08-29" @default.
• W4386256250 modified "2023-09-27" @default.
• W4386256250 title "AI in Sustainable Pig Farming: IoT Insights into Stress and Gait" @default.
• W4386256250 cites W1481359013 @default.
• W4386256250 cites W1504605937 @default.
• W4386256250 cites W2168634604 @default.
• W4386256250 cites W2775111183 @default.
• W4386256250 cites W2806576037 @default.
• W4386256250 cites W2903638668 @default.
• W4386256250 cites W2908597183 @default.
• W4386256250 cites W2926246436 @default.
• W4386256250 cites W2950806508 @default.
• W4386256250 cites W2958165419 @default.
• W4386256250 cites W3041906494 @default.
• W4386256250 cites W3089069698 @default.
• W4386256250 cites W3107706270 @default.
• W4386256250 cites W3125376821 @default.
• W4386256250 cites W3129009964 @default.
• W4386256250 cites W3133862156 @default.
• W4386256250 cites W3152209007 @default.
• W4386256250 cites W3216761595 @default.
• W4386256250 cites W4200015769 @default.
• W4386256250 cites W4211072256 @default.
• W4386256250 cites W4220728417 @default.
• W4386256250 cites W4229063038 @default.
• W4386256250 cites W4229066600 @default.
• W4386256250 cites W4285736286 @default.
• W4386256250 cites W4317566605 @default.
• W4386256250 cites W4320491041 @default.
• W4386256250 cites W4378195253 @default.
• W4386256250 doi "https://doi.org/10.3390/agriculture13091706" @default.
• W4386256250 hasPublicationYear "2023" @default.
• W4386256250 type Work @default.
• W4386256250 citedByCount "0" @default.
• W4386256250 crossrefType "journal-article" @default.
• W4386256250 hasAuthorship W4386256250A5018954036 @default.
• W4386256250 hasBestOaLocation W43862562501 @default.
• W4386256250 hasConcept C111919701 @default.
• W4386256250 hasConcept C116270902 @default.
• W4386256250 hasConcept C182215343 @default.
• W4386256250 hasConcept C2775941552 @default.
• W4386256250 hasConcept C38652104 @default.
• W4386256250 hasConcept C41008148 @default.
• W4386256250 hasConcept C59822182 @default.
• W4386256250 hasConcept C60644358 @default.
• W4386256250 hasConcept C81860439 @default.
• W4386256250 hasConcept C86803240 @default.
• W4386256250 hasConcept C89805583 @default.
• W4386256250 hasConceptScore W4386256250C111919701 @default.
• W4386256250 hasConceptScore W4386256250C116270902 @default.
• W4386256250 hasConceptScore W4386256250C182215343 @default.
• W4386256250 hasConceptScore W4386256250C2775941552 @default.
• W4386256250 hasConceptScore W4386256250C38652104 @default.
• W4386256250 hasConceptScore W4386256250C41008148 @default.
• W4386256250 hasConceptScore W4386256250C59822182 @default.
• W4386256250 hasConceptScore W4386256250C60644358 @default.
• W4386256250 hasConceptScore W4386256250C81860439 @default.
• W4386256250 hasConceptScore W4386256250C86803240 @default.
• W4386256250 hasConceptScore W4386256250C89805583 @default.
• W4386256250 hasIssue "9" @default.
• W4386256250 hasLocation W43862562501 @default.
• W4386256250 hasOpenAccess W4386256250 @default.
• W4386256250 hasPrimaryLocation W43862562501 @default.
• W4386256250 hasRelatedWork W2322757112 @default.
• W4386256250 hasRelatedWork W2373653089 @default.
• W4386256250 hasRelatedWork W2550930058 @default.
• W4386256250 hasRelatedWork W2618984630 @default.
• W4386256250 hasRelatedWork W2751166006 @default.
• W4386256250 hasRelatedWork W2807530277 @default.
• W4386256250 hasRelatedWork W2970262160 @default.
• W4386256250 hasRelatedWork W3027691494 @default.
• W4386256250 hasRelatedWork W3081898826 @default.
• W4386256250 hasRelatedWork W3203217542 @default.
• W4386256250 hasVolume "13" @default.
• W4386256250 isParatext "false" @default.
• W4386256250 isRetracted "false" @default.
• W4386256250 workType "article" @default.