Repositorio UFRO · Omeka S

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	http://dx.doi.org/10.3390/agriculture12101655
Categoría OCDE	Agronomía
Materias	conjunto de árboles de decisión rendimiento de cultivos UAVs UAV
Disciplinas de la OCDE	Agricultura Agronomía Sensores Remotos
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