Estimating plant-available nutrients with XRF sensors: Towards a versatile analysis tool for soil condition assessment

• DOI: 10.1016/j.geoderma.2023.116701
• Publication Date: 2023-10-25T23:05:32Z
• Authors: Tiago Rodrigues T...; Budiman Minasny; Alex McBratney; Maurício Roberto ...; Gabriel Toledo Ma...; Marcos Mantelli R...; Elton Eduardo Nov...; José Padarian; José Lavres; Hudson Wallace Pe...
• Keywords: Nutrient Management; Nutrient deficiency

The timely diagnosis of plant-available soil nutrient contents is crucial in enhancing agricultural intensification and bridging yield gaps. There a global demand for practical easy-to-use analytical tool capable predicting the status soils to make chemical faster, cheaper, environmentally friendly. A growing body research has highlighted potential energy dispersive X-ray fluorescence (XRF) sensors monitoring condition soils. This study critically reviews current knowledge on feasibility using XRF suggests ways forward predict nutrients. review finds that some challenges need be addressed, including: (i) mitigating matrix effect spectral libraries (ii) calibrating models can capture local context ratio between total available content (T/A ratio). further discusses gaps related abovementioned proposes following future areas: understanding impact management temporal stability T/A model performance; assessing advanced predictive modelling strategies address libraries, i.e., deal with relationship nutrients, (iii) evaluating data acquisition optimize situ application portable XRF. Understanding these points critical advancing technological maturity nutrients fulfil plant requirements along its development. Finally, portable, tools are key health/condition proposing best practices areas worldwide, particularly regions limited infrastructure laboratories. Soil preserve, sustain recover condition/health, one main manageable drivers food security.