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 language | English |
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Pages (from-to) | 426-434 |
Number of pages | 9 |
Journal | Biosystems Engineering |
Volume | 114 |
Issue number | 4 |
DOIs | |
State | Published - 2013 |
Externally published | Yes |
ASJC Scopus subject areas
- Control and Systems Engineering
- Food Science
- Animal Science and Zoology
- Agronomy and Crop Science
- Soil Science