Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387116848> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4387116848 endingPage "1895" @default.
- W4387116848 startingPage "1895" @default.
- W4387116848 abstract "Measuring weight during cattle growth is essential for determining their status and adjusting the feed amount. Cattle must be weighed on a scale, which is laborious and stressful and could hinder growth. Therefore, automatically predicting cattle weight could reduce stress on cattle and farm laborers. This study proposes a prediction system to measure the change in weight automatically during growth using three regression models, using environmental factors, feed intake, and weight during the period. The Bayesian inference and likelihood estimation principles estimate parameters that determine the models: the weighted regression model (WRM), Gaussian process regression model (GPRM), and Gaussian process panel model (GPPM). A posterior distribution was derived using these parameters, and a weight prediction system was implemented. An experiment was conducted using image data to evaluate model performance. The GPRM with the squared exponential kernel had the best predictive power. Next, GPRMs with polynomial and rational quadratic kernels, the linear model, and WRM had the next-best predictive power. Finally, the GPRM with the linear kernel, the linear model, and the latent growth curve model, and types of GPPM had the next-best predictive power. GPRM and WRM are statistical probability models that apply predictions to the entire cattle population. These models are expected to be useful for predicting cattle growth on farms at a population level. However, GPPM is a statistical probability model designed for measuring the weight of individual cattle. This model is anticipated to be more efficient when predicting the weight of individual cattle on farms." @default.
- W4387116848 created "2023-09-29" @default.
- W4387116848 creator A5001465623 @default.
- W4387116848 creator A5013509926 @default.
- W4387116848 creator A5016894750 @default.
- W4387116848 creator A5080070968 @default.
- W4387116848 date "2023-09-27" @default.
- W4387116848 modified "2023-10-18" @default.
- W4387116848 title "Comparative Analysis of Statistical Regression Models for Prediction of Live Weight of Korean Cattle during Growth" @default.
- W4387116848 cites W1514832894 @default.
- W4387116848 cites W2008990789 @default.
- W4387116848 cites W2069864414 @default.
- W4387116848 cites W2145583726 @default.
- W4387116848 cites W2402392025 @default.
- W4387116848 cites W2796167805 @default.
- W4387116848 cites W2899239177 @default.
- W4387116848 cites W2900676019 @default.
- W4387116848 cites W2938586655 @default.
- W4387116848 cites W2947856986 @default.
- W4387116848 cites W2971088052 @default.
- W4387116848 cites W2986526134 @default.
- W4387116848 cites W2996694077 @default.
- W4387116848 cites W3008721707 @default.
- W4387116848 cites W3120175626 @default.
- W4387116848 cites W3125656789 @default.
- W4387116848 cites W3132295338 @default.
- W4387116848 cites W3198929032 @default.
- W4387116848 cites W4200249081 @default.
- W4387116848 cites W4211049957 @default.
- W4387116848 cites W4220693582 @default.
- W4387116848 cites W4281400131 @default.
- W4387116848 cites W4308722535 @default.
- W4387116848 cites W4313500444 @default.
- W4387116848 cites W4380077975 @default.
- W4387116848 doi "https://doi.org/10.3390/agriculture13101895" @default.
- W4387116848 hasPublicationYear "2023" @default.
- W4387116848 type Work @default.
- W4387116848 citedByCount "0" @default.
- W4387116848 crossrefType "journal-article" @default.
- W4387116848 hasAuthorship W4387116848A5001465623 @default.
- W4387116848 hasAuthorship W4387116848A5013509926 @default.
- W4387116848 hasAuthorship W4387116848A5016894750 @default.
- W4387116848 hasAuthorship W4387116848A5080070968 @default.
- W4387116848 hasBestOaLocation W43871168481 @default.
- W4387116848 hasConcept C105795698 @default.
- W4387116848 hasConcept C111472728 @default.
- W4387116848 hasConcept C114289077 @default.
- W4387116848 hasConcept C120068334 @default.
- W4387116848 hasConcept C138885662 @default.
- W4387116848 hasConcept C144024400 @default.
- W4387116848 hasConcept C149923435 @default.
- W4387116848 hasConcept C152877465 @default.
- W4387116848 hasConcept C163175372 @default.
- W4387116848 hasConcept C2776913854 @default.
- W4387116848 hasConcept C2778136018 @default.
- W4387116848 hasConcept C2780505807 @default.
- W4387116848 hasConcept C2908647359 @default.
- W4387116848 hasConcept C33923547 @default.
- W4387116848 hasConcept C48921125 @default.
- W4387116848 hasConcept C54355233 @default.
- W4387116848 hasConcept C86803240 @default.
- W4387116848 hasConceptScore W4387116848C105795698 @default.
- W4387116848 hasConceptScore W4387116848C111472728 @default.
- W4387116848 hasConceptScore W4387116848C114289077 @default.
- W4387116848 hasConceptScore W4387116848C120068334 @default.
- W4387116848 hasConceptScore W4387116848C138885662 @default.
- W4387116848 hasConceptScore W4387116848C144024400 @default.
- W4387116848 hasConceptScore W4387116848C149923435 @default.
- W4387116848 hasConceptScore W4387116848C152877465 @default.
- W4387116848 hasConceptScore W4387116848C163175372 @default.
- W4387116848 hasConceptScore W4387116848C2776913854 @default.
- W4387116848 hasConceptScore W4387116848C2778136018 @default.
- W4387116848 hasConceptScore W4387116848C2780505807 @default.
- W4387116848 hasConceptScore W4387116848C2908647359 @default.
- W4387116848 hasConceptScore W4387116848C33923547 @default.
- W4387116848 hasConceptScore W4387116848C48921125 @default.
- W4387116848 hasConceptScore W4387116848C54355233 @default.
- W4387116848 hasConceptScore W4387116848C86803240 @default.
- W4387116848 hasIssue "10" @default.
- W4387116848 hasLocation W43871168481 @default.
- W4387116848 hasOpenAccess W4387116848 @default.
- W4387116848 hasPrimaryLocation W43871168481 @default.
- W4387116848 hasRelatedWork W1769516736 @default.
- W4387116848 hasRelatedWork W2343747089 @default.
- W4387116848 hasRelatedWork W2375721435 @default.
- W4387116848 hasRelatedWork W2439899683 @default.
- W4387116848 hasRelatedWork W2624501724 @default.
- W4387116848 hasRelatedWork W2886532972 @default.
- W4387116848 hasRelatedWork W3021785231 @default.
- W4387116848 hasRelatedWork W3118299338 @default.
- W4387116848 hasRelatedWork W3216594821 @default.
- W4387116848 hasRelatedWork W641278561 @default.
- W4387116848 hasVolume "13" @default.
- W4387116848 isParatext "false" @default.
- W4387116848 isRetracted "false" @default.
- W4387116848 workType "article" @default.