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Mostrando ítems 31-40 de 480
Morphometric relationships and growth models for the oyster Crassostrea corteziensis cultivated at the southeastern coast of the Gulf of California, Mexico
(Pontificia Universidad Católica de Valparaíso, 2018)
MORPHOMETRY FOR Cabralea canjerana IN NATIVE SECONDARY FOREST IN RIO GRANDE DO SULMorfometria de Cabralea canjerana, em mata secundaria nativa do Rio Grande do Sul.
(Universidade Federal de Santa Maria, 1998)
INCOME AND LOSS IN ROLLING OF PARICÁ WOOD IN THE REGION OF PARAGOMINAS, PARÁ STATERENDIMENTO EM LAMINAÇÃO DE MADEIRA DE PARICÁ NA REGIÃO DE PARAGOMINAS, PARÁ
(Universidade Federal de Santa Maria, 2015)
USE OF DUMMY VARIABLES IN VOLUME EQUATIONS FOR Acacia mearnsii De Wild.Utilização de variáveis dummy em equações de volume para Acacia mearnsii De Wild.
(Universidade Federal de Santa Maria, 2003)
Implementación de pruebas biométricas en sistema informático en el sector público
(Editorial Ciencia Digital, 2019)
EVALUATION OF BIOMETRIC INDICATORS IN LAMAS (LAMA GLAMA) OF THE CH´ACCU AND K´ARA VARIETIESEVALUACIÓN DE INDICADORES BIOMÉTRICOS EN LLAMAS (Lama glama) DE LAS VARIEDADES CH’ACCU Y K’ARA.
(Universidad Nacional Mayor de San Marcos, Facultad de Medicina Veterinaria, 2007)
A fingerprint image encryption scheme based on hyperchaotic Rössler map
(Hindawi Publishing Corporation, 2016)
An Analysis of Global Trends from 1990 to 2022 of Microbial Fuel Cells: A Bibliometric Analysis
(MDPICH, 2022-02-16)
Microbial fuel cells have undergone several modifications since their creation, mainly due to the different substrates that can be used as fuel for the generation of electrical energy. In this research, a deep and updated ...
Assessment of vegetation índices derived from UAV images for predicting biometric variables in bean during ripening stage
(Universidad de TarapacáCL, 2022-03)
Here, we report the prediction of vegetative stages variables of canary bean crop employing RGB and multispectral images obtained from UAV during the ripening stage, correlating the vegetation indices with biometric variables ...