Using Data Mining Techniques to Forecast the Normalized Difference Vegetation Index (NDVI) in Table Grape

Javier Gómez-Lagos, Marcela González-Araya, Rodrigo Blu, Luis Espejo

2019

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.

Paper Citation

in Harvard Style

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

in Bibtex Style

@conference{icores19,
author={Javier Gómez-Lagos and Marcela González-Araya and Rodrigo Blu and Luis 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},
}

in EndNote Style

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