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Record W4402438626 · doi:10.11159/icmie24.160

Production Of Cobb 500 Chickens Under Controlled Environments At "Granja De Valle Colorado"

2024· article· en· W4402438626 on OpenAlexvenueno aff
Isabela Milagros Limaylla Leon, Kelly Lizbeth Curi-Pianto, Mariel Milena Machuca-Balbin, Rodolfo Antonio Chávez-Castillo

Bibliographic record

VenueProceedings of the World Congress on Mechanical, Chemical, and Material Engineering · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural and Food Production Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCobBComputer scienceBiology

Abstract

fetched live from OpenAlex

The Ministry of Agrarian Development and Irrigation (MIDRAGRI) states that the poultry sector is the main source of protein for the Peruvian population.Therefore, it is essential to provide quality meats with an adequate weight, according to the Cobb-Vantress recommendations.Research, has shown that the growing environment plays a crucial role in the health and development of poultry.In the present study, the production of Cobb 500 chickens under controlled environments on the 'Granja De Valle Colorado' is addressed.The production activities have been analysed, focusing on house preparation, chick reception, rearing and eviction.Critical factors to ensure the quality of the chickens include feed, weight and mortality rate.After assessing the company's processes and parameters, analysis tools such as the Ishikawa Diagram to identify the causes of problems and Value Stream Mapping to detect delays in activities were implemented.This made it possible to define the parameters necessary to control the breeding processes in the controlled environments.Finally, a system was developed to manage the feeding, supply and control process at altitude as the chickens grow.This system also controls the water supply through drinking troughs.In addition, heaters and curtains were installed around the animal spaces to maintain a suitable temperature during growth.Regarding the management of the manure generated, a methane sensor was implemented to trigger the extraction of gases and fans to ensure adequate ventilation.The implementation of the system reduces the mortality rate from 2.5% to 0%, generating an annual income from the sale of poultry of s/ 11 047.09nuevos soles.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.257

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.184
Teacher spread0.177 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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