Prediction of dry matter content of recently harvested ‘Hass’ avocado fruits using hyperspectral imaging-Reference-Cited by-同舟云学术

Prediction of dry matter content of recently harvested ‘Hass’ avocado fruits using hyperspectral imaging

Published:2020-08-27 Issue:3 Volume:101 Page:897-906
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Vega Díaz Jhon Jairo¹^ORCID,Sandoval Aldana Angélica Piedad²^ORCID,Reina Zuluaga Deici Viviana²^ORCID

Affiliation:

1. Doctorado en ciencia aplicada Universidad Antonio Nariño Bogotá Colombia

2. Facultad de ingeniería agronómica Universidad del Tolima Ibagué Colombia

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.10697

Reference51 articles.

1. Food and Agriculture Organization of the United Nations. FAOSTAT. Statistical databases. [Internet]. 2020. Available:http://www.fao.org/faostat/es/#data/QC[28 January 2020]

2. Ministerio de Agricultura y Desarrollo Rural. Agronet. Estadísticas agropecuarias [Internet]. 2020. Available:http://www.agronet.gov.co/estadistica/Paginas/default.aspx[12 August 2020].

3. ICONTEC. NTC 5209. Aguacate. Variedades Mejoradas. Especificaciones. Instituto Colombiano de Normas Técnicas y Certificación2003;26.

4. Parámetros fisicoquímicos del aguacate Persea americana Mill. cv. Hass (Lauraceae) producido en Antioquia (Colombia) para exportación;Astudillo‐Ordóñez CE;Corpoica Cienc y Tecnol Agropecu,2018

5. EstradaB AlonsoJ.2016Estudios ecofisiológicos en aguacate cv. Hass en diferentes ambientes como alternativa productiva en Colombia. Universidad Nacional; 2016. Available:http://www.bdigital.unal.edu.co/50844/[9 May 2017]

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