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Khechba, K

NAWAR, S

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Misbah, K

Laamrani, A

Chehbouni , A

Dhiba , D

Ezzahar, J

Khechba, K

NAWAR, S

Topics

Precision Nutrient Management

Type

Poster

Oral

Year

2020

2022

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Filter results2 paper(s) found.
1. QUANTIFICATION OF OPTIMAL FERTILIZERS DEMAND IN WHEAT AND CORN FIELDS IN MOROCCO USING VERY HIGH-RESOLUTION REMOTE SENSED IMAGERY AND HYBRID COMPUTATIONAL APPROACHES Abstract. Demand on agricultural products is increasing as population continues to grow. Data driven management of macronutrients (i.e., nitrogen (N), phosphorus (P) and potassium (K)) and crops are of critical prominence to get the most out of soil in terms of crop yield while preserving environment. This study aims to establish a quantitative framework for macronutrient (i.e., nitrogen, phosphorus, and potassium) status (i.e., excess, deficiency) for winter wheat (Triticum aestivum... K. Misbah, A. Laamrani, A. Chehbouni , D. Dhiba , J. Ezzahar, K. Khechba Download paper
2. Proximal Soil Sensing Combined with Machine Learning for Estimation and Management of Soil Potassium Site Specifically High-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

Filter results2 paper(s) found.

1. QUANTIFICATION OF OPTIMAL FERTILIZERS DEMAND IN WHEAT AND CORN FIELDS IN MOROCCO USING VERY HIGH-RESOLUTION REMOTE SENSED IMAGERY AND HYBRID COMPUTATIONAL APPROACHES

Abstract. Demand on agricultural products is increasing as population continues to grow. Data driven management of macronutrients (i.e., nitrogen (N), phosphorus (P) and potassium (K)) and crops are of critical prominence to get the most out of soil in terms of crop yield while preserving environment. This study aims to establish a quantitative framework for macronutrient (i.e., nitrogen, phosphorus, and potassium) status (i.e., excess, deficiency) for winter wheat (Triticum aestivum... K. Misbah, A. Laamrani, A. Chehbouni , D. Dhiba , J. Ezzahar, K. Khechba

Download paper

2. Proximal Soil Sensing Combined with Machine Learning for Estimation and Management of Soil Potassium Site Specifically

High-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