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Remote sensing of N deficiencies in apple and pear orchards

Citation

Perry, EM and Bluml, M and Goodwin, I and Cornwall, D and Swarts, ND, Remote sensing of N deficiencies in apple and pear orchards, Acta Horticulturae, 17-22 August 2014, Brisbane, Australia, pp. 575-580. ISSN 0567-7572 (2016) [Refereed Conference Paper]

Copyright Statement

Copyright 2016 ISHS

DOI: doi:10.17660/ActaHortic.2016.1130.86

Abstract

Innovative use of sensor technology offers the potential to provide better feedback techniques of nutrient status, resulting in the lowered expenditure on fertiliser, increased capacity to meet market specification and reduced loss of nutrients. In this study we evaluated the use of remote sensing to assess canopy N status through the Canopy Chlorophyll Concentration Index (CCCI) which has been applied to cereal crops, but was untested for apple and pear. Initial analysis suggested that 2.5 m resolution satellite imagery was not sufficient to separate the tree canopy from orchard floor vegetation. To remove the influence of the orchard understorey, test datasets of high spatial resolution imagery (<0.05 m pixel) were acquired over the canopy in a research pear orchard and commercial apple orchards. A multispectral camera was deployed in hand held mode to generate side views of the canopy, and above the canopy using an Unmanned Aerial Vehicle (UAV). CCCI determined from side viewing imagery within commercial apple orchards was compared with corresponding leaf N values taken from the same plots. The results suggest that a linear relationship between CCCI and leaf N can be established. Imagery acquired from a UAV platform validated the use of a UAV in commercial and research orchard settings to provide maps of CCCI.

Item Details

Item Type:Refereed Conference Paper
Keywords:canopy chlorophyll concentration index (CCCI), normalized difference vegetation index (NDVI), normalized difference red&#8208;edge vegetation index (NDRE), unmanned aerial vehicle (UAV), multi&#8208;spectral camera
Research Division:Agricultural and Veterinary Sciences
Research Group:Horticultural Production
Research Field:Horticultural Crop Growth and Development
Objective Division:Plant Production and Plant Primary Products
Objective Group:Horticultural Crops
Objective Field:Pome Fruit, Pip Fruit
Author:Swarts, ND (Dr Nigel Swarts)
ID Code:102169
Year Published:2016
Web of Science® Times Cited:1
Deposited By:Tasmanian Institute of Agriculture
Deposited On:2015-08-03
Last Modified:2018-07-20
Downloads:0

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