Prediction of macronutrients in plant leaves using chemometric analysis and wavelength selection

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Malmir, 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

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Article Link: https://doi.org/10.1007/s11368-019-02418-z

Abstract

Fast 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.

Item Type:	Article
Corporate Creators:	Department of Agriculture and Fisheries, Queensland
Business groups:	Animal Science
Keywords:	Cacao trees , Calcium , Chemometric analysis . Nitrogen , NPK , Phosphorus , Potassium
Subjects:	Agriculture > Agriculture (General) > Soils. Soil science Agriculture > Agriculture (General) > Improvement, reclamation, fertilisation, irrigation etc., of lands (Melioration)
Live Archive:	27 May 2024 05:11
Last Modified:	27 May 2024 05:11

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