Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu

Pereira-Obaya, Dimas; Castedo-Dorado, Fernando; Sanz-Ablanedo, Enoc; Mejía-Correal, Karen Brigitte; Rodríguez-Pérez, José Ramón

doi:10.3390/agronomy13030923

Open AccessArticle

Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu

by

Dimas Pereira-Obaya

^1,*

,

Fernando Castedo-Dorado

²

,

Enoc Sanz-Ablanedo

¹

,

Karen Brigitte Mejía-Correal

¹

and

José Ramón Rodríguez-Pérez

¹

Grupo de Investigación en Geomática e Ingeniería Cartográfica (GEOINCA), Universidad de León, Avenida de Astorga sn, 24401 Ponferrada, León, Spain

²

Departamento de Ingeniería y Ciencias Agrarias, Universidad de León, Avenida de Astorga sn, 24401 Ponferrada, León, Spain

^*

Author to whom correspondence should be addressed.

Agronomy 2023, 13(3), 923; https://doi.org/10.3390/agronomy13030923

Submission received: 8 February 2023 / Revised: 9 March 2023 / Accepted: 18 March 2023 / Published: 20 March 2023

(This article belongs to the Special Issue Advances in Field Spectroscopy in Agriculture)

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Abstract

While populations of the Asian chestnut gall wasp (Dryocosmus kuriphilus Yasumatsu), an invasive pest affecting the European chestnut (Castanea sativa Miller), have started to be controlled biologically, this pest still conditions chestnut tree development. With the aim of assessing plant health status as a means of monitoring gall wasp infestation, we used a field spectroradiometer to collect data from leaves taken from 83 trees in two chestnut orchards. We calculated characteristic spectral signatures for pest infestation, and after training and validation, developed classifiers to distinguish between different infestation levels. Several partial least square discriminant analysis (PLS-DA) and random forest (RF) models were fitted with reflectance and transformed values to obtain characteristic curves reflecting infestation. Four wavelengths (560 nm, 680 nm, 1400 nm, and 1935 nm) were identified as showing the greatest differences between curves. The best overall accuracy (69.23%) was achieved by an RF model fitted with reflectance transformed values. Lower overall accuracy (26.92%) was achieved in distinguishing between infestation levels. In conclusion, while more specific differences in infestation levels were not detectable, our method successfully discriminated between gall absence and presence.

Keywords: Asian chestnut gall wasp; European chestnut; spectroscopy; PLS-DA; random forest

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MDPI and ACS Style

Pereira-Obaya, D.; Castedo-Dorado, F.; Sanz-Ablanedo, E.; Mejía-Correal, K.B.; Rodríguez-Pérez, J.R. Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu. Agronomy 2023, 13, 923. https://doi.org/10.3390/agronomy13030923

AMA Style

Pereira-Obaya D, Castedo-Dorado F, Sanz-Ablanedo E, Mejía-Correal KB, Rodríguez-Pérez JR. Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu. Agronomy. 2023; 13(3):923. https://doi.org/10.3390/agronomy13030923

Chicago/Turabian Style

Pereira-Obaya, Dimas, Fernando Castedo-Dorado, Enoc Sanz-Ablanedo, Karen Brigitte Mejía-Correal, and José Ramón Rodríguez-Pérez. 2023. "Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu" Agronomy 13, no. 3: 923. https://doi.org/10.3390/agronomy13030923

APA Style

Pereira-Obaya, D., Castedo-Dorado, F., Sanz-Ablanedo, E., Mejía-Correal, K. B., & Rodríguez-Pérez, J. R. (2023). Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu. Agronomy, 13(3), 923. https://doi.org/10.3390/agronomy13030923

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Leaf Trait Hyperspectral Characterization of Castanea sativa Miller Affected by Dryocosmus kuriphilus Yasumatsu

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