Acorn yield estimation based on airborne multi-spectral imaging

In this study we developed a technique to estimate acorn yield using airborne Multi-spectral imaging. All models were experimentally validated by a leave-one-out cross validation technique. On the airborne Multi-spectral image, the canopies of 22 individual acorn trees were identified. The mean valu...

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Bibliographic Details
Published inNōgyō Kikai Gakkaishi Vol. 68; no. 4
Main Authors Akita, T.(Tokyo Univ. of Agriculture and Technology, Fuchu (Japan)), Sakai, K, Iwabuchi, Y, Hoshino, Y, Ye, X
Format Journal Article
LanguageEnglish
Japanese
Published 01.07.2006
Subjects
AERIAL SURVEYING
BIODIVERSIDAD
BIODIVERSITE
BIODIVERSITY
COPA
CROWN
ECOSISTEMA
ECOSYSTEME
ECOSYSTEMS
FRUITS
FRUTAS
HOUPPIER
IMAGENES
IMAGERIE
IMAGERY
PREVISION DE RENDEMENT
PRONOSTICO DEL RENDIMIENTO
QUERCUS SERRATA
RECONOCIMIENTO AEREO
RELEVE AERIEN
REMOTE SENSING
TELEDETECCION
TELEDETECTION
YIELD FORECASTING
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Summary:In this study we developed a technique to estimate acorn yield using airborne Multi-spectral imaging. All models were experimentally validated by a leave-one-out cross validation technique. On the airborne Multi-spectral image, the canopies of 22 individual acorn trees were identified. The mean values of the reflection radiance, tree size, and canopy area were extracted from the images as independent variables. Cup-shaped cupules were collected using seedtraps, and the number of cupules, after applying logarithmic transformation was considered as the dependent variable. Results indicated that the images had significant relationships (2003: R(2)=0.49, 2004 : R(2)=0.56), and these relationships of stability were confirmed in the cross validation.
Bibliography:U40
2007000676
K01
ISSN:0285-2543
DOI:10.11357/jsam1937.68.4_49