Co-Authors:
Rotbart, N., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Schmilovitch, Z., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Cohen, Y., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Alchanatis, V., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Erel, R., Gilat Research Center, Agricultural Research Organization, M.P. Negev, 85280, Israel
Ignat, T., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Shenderey, C., Institute of Agricultural Engineering, ARO, The Volcani Center, P.O. Box 6, Bet-Dagan 50250, Israel
Dag, A., Gilat Research Center, Agricultural Research Organization, M.P. Negev, 85280, Israel
Yermiyahu, U., Gilat Research Center, Agricultural Research Organization, M.P. Negev, 85280, Israel
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. © 2012 IAgrE.
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