Early detection of two-spotted spider mite damage to pepper leaves by spectral means

I. Herrmann, M. Berenstein, T. Paz-Kagan, A. Sade, A. Karnieli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The two-spotted spider mite (TSSM; Tetranychus urticae Koch) feeds on the underside of leaves, piercing the chloroplast-containing cells and causing significant damage to crops in fields, as well as in greenhouses. It is hypothesized that under the optimal plant growth conditions available in greenhouses, spectral monitoring of the upper leaves can lead to TSSM-damage identification even in the early stages of infestation. This study examined the spectral reflectance data of greenhouse pepper (Capsicum annuum) leaves at four TSSM damage levels. Vegetation indices were calculated and shown to reliably correspond to damage levels. The partial least squares discriminant analysis classification method was applied and resulted in 100% classification success for early damage detection. Therefore, consistent separation between increasing TSSM damage levels can be provided, and early identification of TSSM greenhouse pepper leaf damage can be obtained by spectral means under laboratory conditions. The potential of using spectral identification in commercial greenhouses is discussed.

Original languageAmerican English
Title of host publicationPrecision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015
EditorsJohn V. Stafford
PublisherWageningen Academic Publishers
Pages661-666
Number of pages6
ISBN (Electronic)9789086862672
DOIs
StatePublished - 1 Jan 2015
Event10th European Conference on Precision Agriculture, ECPA 2015 - Tel-Aviv, Israel
Duration: 12 Jul 201516 Jul 2015

Publication series

NamePrecision Agriculture 2015 - Papers Presented at the 10th European Conference on Precision Agriculture, ECPA 2015

Conference

Conference10th European Conference on Precision Agriculture, ECPA 2015
Country/TerritoryIsrael
CityTel-Aviv
Period12/07/1516/07/15

Keywords

  • Damage detection
  • Partial least squares discriminant analysis
  • Spectral assessment
  • Two-spotted spider mite

All Science Journal Classification (ASJC) codes

  • Agronomy and Crop Science
  • Computer Science Applications

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