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Authors: Javier Gómez-Lagos 1 ; Marcela González-Araya 1 ; Rodrigo Blu 2 and Luis Espejo 2

Affiliations: 1 Department of Industrial Engineering, Faculty of Engineering, Universidad de Talca, Camino a Los Niches km 1, Curicó and Chile ; 2 Departamento de Ingeniería Comercial, Universidad Técnica Federico Santa María, Avenida Santa María 6400, Vitacura, Santiago and Chile

ISBN: 978-989-758-352-0

Keyword(s): NDVI, Data Mining Techniques, Neural Networks, Fruit Crop Variability.

Related Ontology Subjects/Areas/Topics: Data Mining and Business Analytics ; Forecasting ; Methodologies and Technologies ; Operational Research

Abstract: The Normalized Difference Vegetation Index (NDVI) is a simple indicator that quantifies aerial biomass in fruit crops, which is correlated with the fruit yield and quality produced by an orchard. Therefore, knowing the NDVI values would allow predicting productive parameters above mentioned, which in turn would help planning operational activities such as harvesting. In this study, we estimated the NDVI of a Chilean table grape orchard based on past data using data mining techniques. For this purpose, we developed a three-step method, obtaining NDVI predictions with high accuracy.

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Paper citation in several formats:
Gómez-Lagos, J.; González-Araya, M.; Blu, R. and Espejo, L. (2019). Using Data Mining Techniques to Forecast the Normalized Difference Vegetation Index (NDVI) in Table Grape.In Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES, ISBN 978-989-758-352-0, pages 189-194. DOI: 10.5220/0007570101890194

@conference{icores19,
author={Javier E. Gómez{-}Lagos. and Marcela C. González{-}Araya. and Rodrigo Ortega Blu. and Luis G. Acosta Espejo.},
title={Using Data Mining Techniques to Forecast the Normalized Difference Vegetation Index (NDVI) in Table Grape},
booktitle={Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,},
year={2019},
pages={189-194},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007570101890194},
isbn={978-989-758-352-0},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Operations Research and Enterprise Systems - Volume 1: ICORES,
TI - Using Data Mining Techniques to Forecast the Normalized Difference Vegetation Index (NDVI) in Table Grape
SN - 978-989-758-352-0
AU - Gómez-Lagos, J.
AU - González-Araya, M.
AU - Blu, R.
AU - Espejo, L.
PY - 2019
SP - 189
EP - 194
DO - 10.5220/0007570101890194

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