Prediction of insect-herbivory-damage and insect-type attack in maize plants using hyperspectral data
Accurately detecting the insect damage caused in plants might reduce losses in crop yields. Hyperspectral data is a well-accepted data source to attend this issue. However, due to their high dimensional, both robust and intelligent methods are required to extract information from these datasets. The...
Main Authors: | Danielle Elis Garcia Furuya, Lingfei Ma, Mayara Maezano Faita Pinheiro, Felipe David Georges Gomes, Wesley Nunes Gonçalvez, José Marcato Junior, Diego de Castro Rodrigues, Maria Carolina Blassioli-Moraes, Mirian Fernandes Furtado Michereff, Miguel Borges, Raúl Alberto Alaumann, Ednaldo José Ferreira, Lucas Prado Osco, Ana Paula Marques Ramos, Jonathan Li, Lúcio André de Castro Jorge |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2021-12-01
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Series: | International Journal of Applied Earth Observations and Geoinformation |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S0303243421003159 |
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