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| Filter results2 paper(s) found. |
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1. Improving Phosphorus Use Efficiency by Chickpea Crop Using Electromagnetic Induction, Soil Properties, and Crop Yield Data Under Semi-arid ConditionsUnder arid and semi-arid conditions, the agricultural sector faces many challenges related to the use of water and mineral resources for crop production and food security for an exponentially growing population. The impact of climate changes on water resources availability and soil quality is more and more emphasized under the Mediterranean basin, mostly characterized by drought and extreme weather conditions. The present study aims to investigate how electromagnetic induction technique and soil... M. Chtouki, A. Oukarroum, F. Nguyen |
2. Proximal Soil Sensing Combined with Machine Learning for Estimation and Management of Soil Potassium Site SpecificallyHigh-resolution data on soil potassium (K) is crucial to optimize variable rate potassium fertiliser recommendations and improve crop growth and yield. The portable X-ray fluorescence (PXRF) and portable gamma-ray spectroscopy (PGRS) enable onsite soil K analysis. However, using PXRF and PGRS often remains cumbersome, following the soil matrix's poor performance and complex nature, introducing background noise. The potential of spectral analysis based on machine learning (ML) combined with... S. Nawar |