Estimating swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data

ESTIMATING SWISS CHARD FOLIAR MACRO- AND MICRONUTRIENT CONCENTRATIONS UNDER DIFFERENT IRRIGATION WATER SOURCES USING GROUND-BASED HYPERSPECTRAL DATA and four partial least squares

(PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms CONTENTS * Abstract * Citation * Links ABSTRACT Growers and farm managers require well-timed information to find out the

nutritional and vitality status of their crops (so as to apply appropriate fertiliser or to correct for crop nutrient deficiencies at identified hotspots, for example): Swiss chard (Beta

vulgaris) is a leafy vegetable that is cooked before consumption that requires fairly frequent irrigation to keep the soil at more than 50% moisture level. Heavy nutrient levels in the plant

could be a direct indicator of the crop having been polluted from the surroundings, which may be a result of heavy metals absorbed from, among others, contaminated soils and wastewater. The

article reports on use of Swiss chard canopy-level hyperspectral measurements and regression algorithms, to determine the concentrations of three foliar macronutrients and three

micronutrients in Swiss chard subjected to three water treatments (rainwater + fertilizer, tap water + fertilizer, and treated wastewater). Among other findings, the investigators were able

to accurately estimate Swiss chard foliar macronutrient concentrations in comparison to foliar micronutrient concentrations. The results pave the way for developing an effective routine for

estimating foliar nutrients that is suitable for monitoring Swiss chard nutrient status under different treatments. This work is partly funded by the UK Department for International

Development, a core donor of the International Centre of Insect Physiology and Ecology. CITATION Abdel-Rahman E.M., Mutanga O., Odindi J., Adam E.M.I., Odindo A. and Ismail R. (2017)

Estimating Swiss chard foliar macro- and micronutrient concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares

(PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms. Computers and Electronics in Agriculture 132, 21–33. LINKS Estimating Swiss chard foliar macro- and micronutrient

concentrations under different irrigation water sources using ground-based hyperspectral data and four partial least squares (PLS)-based (PLS1, PLS2, SPLS1 and SPLS2) regression algorithms

UPDATES TO THIS PAGE Published 19 December 2017 Contents