Early Estimation of Tomato Yield by Decision Tree Ensembles

Primer Autor
Lillo-Saavedra, Mario
Co-autores
Espinoza-Salgado, Alberto
Garcia-Pedrero, Angel
Souto, Camilo
Holzapfel, Eduardo
Gonzalo-Martin, Consuelo
Somos-Valenzuela, Marcelo
Rivera, Diego
Título
Early Estimation of Tomato Yield by Decision Tree Ensembles
Editorial
MDPI
Revista
AGRICULTURE-BASEL
Lenguaje
en
Resumen
Crop yield forecasting allows farmers to make decisions in advance to improve farm management and logistics during and after harvest. In this sense, crop yield potential maps are an asset for farmers making decisions about farm management and planning. Although scientific efforts have been made to determine crop yields from in situ information and through remote sensing, most studies are limited to evaluating data from a single date just before harvest. This has a direct negative impact on the quality and predictability of these estimates, especially for logistics. This study proposes a methodology for the early prediction of tomato yield using decision tree ensembles, vegetation spectral indices, and shape factors from images captured by multispectral sensors on board an unmanned aerial vehicle (UAV) during different phenological stages of crop development. With the predictive model developed and based on the collection of training characteristics for 6 weeks before harvest, the tomato yield was estimated for a 0.4 ha plot, obtaining an error rate of 9.28%.
Tipo de Recurso
artículo original
Description
This research was funded by the Water Research Center For Agriculture and Mining, CRHIAM (ANID/FONDAP/15130015).
Esta investigación fue financiada por el Centro de Investigación del Agua para la Agricultura y la Minería, CRHIAM (ANID/FONDAP/15130015).
doi
10.3390/agriculture12101655
Formato Recurso
PDF
Palabras Claves
decision tree ensemble
crop yield
UAVs
UAV
Ubicación del archivo
Categoría OCDE
Agronomía
Materias
conjunto de árboles de decisión
rendimiento de cultivos
UAVs
UAV
Título de la cita (Recomendado-único)
Early Estimation of Tomato Yield by Decision Tree Ensembles
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
version publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Referencia del Financiador (Mandatado si es aplicable-repetible)
ANID-FONDAP 15130015
ANID FONDAP 15130015
Id de Web of Science
WOS:000872126700001
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