Estimating olive leaf nitrogen concentration using visible and near-infrared spectral reflectance

Nativ Rotbart, Zeev Schmilovitch, Yafit Cohen, Victor Alchanatis, Ran Erel, Timea Ignat, Clara Shenderey, Arnon Dag, Uri Yermiyahu

Research output: Contribution to journalArticlepeer-review

Abstract

VIS-NIR spectroscopy for estimation of Nitrogen (N) content in olive leaves was studied as a tool for efficient fertilisation in olive (Olea europaea) orchards. Olive leaf samples (cv. Barnea) were taken from orchards which had been fertilised with a wide range of N levels. Dried ground leaves, fresh ground leaves and intact leaves were tested. Reflectance measurements were taken using three spectrometers: USB-2000 for VIS-NIR (450-1000 nm) and a LIGA, and a Luminar-5030 for SWIR (1100-1700 nm). Nitrogen concentrations of the same samples were measured analytically as a reference for the spectral analyses, which were conducted by means of partial least square regression (PLSR). The best predictive model for comprehensive in-season and between-season samples (160 samples from three seasons, taken on 18 separate days) was obtained using the Luminar spectrometer using thoroughly ground dried leaves (R2 = 0.91). Classification into three N levels was evaluated and gave an overall accuracy of 0.83 with a kappa of 0.75 (substantial). Intact leaves yielded non-sufficient correlations. The results showed that leaf dehydration improves the model performance significantly and that VIS-NIR spectroscopy might be used for decision-making in fertilisation procedures. Finally, a protocol is suggested for laboratory spectral measurements.

Original languageEnglish
Pages (from-to)426-434
Number of pages9
JournalBiosystems Engineering
Volume114
Issue number4
DOIs
StatePublished - 2013
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Food Science
  • Animal Science and Zoology
  • Agronomy and Crop Science
  • Soil Science

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