Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selectionExport / Share Share this record       Export this recordPlumX View Altmetrics View AltmetricsMalmir, M., Tahmasbian, I., Xu, Z., Farrar, M. B. and Bai, S. H. (2020) Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection. Journal of Soils and Sediments, 20 (1). pp. 249-259. ISSN 1614-7480 Full text not currently attached. Access may be available via the Publisher's website or OpenAccess link. Article Link: https://doi.org/10.1007/s11368-019-02418-z AbstractFast and real-time prediction of leaf nutrient concentrations can facilitate decision-making for fertilisation regimes on farms and address issues raised with over-fertilisation. Cacao (Theobroma cacao L.) is an important cash crop and requires nutrient supply to maintain yield. This project aimed to use chemometric analysis and wavelength selection to improve the accuracy of foliar nutrient prediction.
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