Search Results - "Mounem Mouazen, Abdul"
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On the parsimony, interpretability and predictive capability of a physically−based model in the optical domain for estimating soil moisture content
Published in Geoderma (01-09-2024)“…[Display omitted] •SMC retrieval using a physically constrained model based on Kubelka-Munk theory.•Good predictive accuracy was achieved with less than 1% of…”
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Detection of fusarium head blight in wheat using hyperspectral data and deep learning
Published in Expert systems with applications (01-12-2022)Get full text
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Estimation and Mapping of Soil Properties Based on Multi-Source Data Fusion
Published in Remote sensing (Basel, Switzerland) (01-03-2021)“…Recent advances in remote and proximal sensing technologies provide a valuable source of information for enriching our geo-datasets, which are necessary for…”
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Predicting soil organic carbon in cultivated land across geographical and spatial scales: Integrating Sentinel-2A and laboratory Vis-NIR spectra
Published in ISPRS journal of photogrammetry and remote sensing (01-09-2023)“…Digital mapping of soil organic carbon (SOC) is essential for visualizing the spatial distribution at different regions and scales. However, existing studies…”
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Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification
Published in Geoderma (01-02-2023)“…•Absorption peak around 2310 nm was identified as the most important for SIC.•An urban SSL with 3492 samples was developed for SIC prediction.•CWT scale 1…”
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Effect of spiking strategy and ratio on calibration of on-line visible and near infrared soil sensor for measurement in European farms
Published in Soil & tillage research (01-04-2013)“…► The accuracy of on-line measurement of OC, TN and MC is affected by spiking strategy. ► Reducing number of samples used for spiking results in deteriorating…”
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Machine Learning Based On-Line Prediction of Soil Organic Carbon after Removal of Soil Moisture Effect
Published in Remote sensing (Basel, Switzerland) (01-04-2020)“…It is well-documented in the visible and near-infrared reflectance spectroscopy (VNIRS) studies that soil moisture content (SMC) negatively affects the…”
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Spectral fusion modeling for soil organic carbon by a parallel input-convolutional neural network
Published in Geoderma (01-09-2023)“…•Laboratory vis–NIR and MIR spectra were compared and fused to predict SOC.•A parallel-input convolutional neural network data fusion framework was…”
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A framework of artificial light management for optimal plant development for smart greenhouse application
Published in PloS one (13-12-2021)“…Smart greenhouse farming has emerged as one of the solutions to global food security, where farming productivity can be managed and improved in an automated…”
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Precision Nitrogen Fertilization for Opium Poppy Using Combined Proximal and Remote Sensor Data Fusion
Published in Remote sensing (Basel, Switzerland) (01-12-2023)“…Proper management of within-field variability is crucial for maximizing crop yield, production outcomes and resource use efficiency and reducing environmental…”
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Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production
Published in Precision agriculture (01-12-2021)“…This study evaluated the agronomic and economic prospects of Site-Specific Seeding (SSS) for consumption and seed potato production based on Management Zone…”
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Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches
Published in Sensors (Basel, Switzerland) (29-12-2020)“…Visible and near infrared (vis-NIR) diffuse reflectance and X-ray fluorescence (XRF) sensors are promising proximal soil sensing (PSS) tools for predicting…”
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Potential of globally distributed topsoil mid-infrared spectral library for organic carbon estimation
Published in Catena (Giessen) (01-02-2024)Get full text
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Economic and Environmental Assessment of Variable Rate Nitrogen Application in Potato by Fusion of Online Visible and Near Infrared and Remote Sensing Data
Published in Soil systems (01-06-2024)“…Addressing within-field spatial variability for nitrogen (N) management to avoid over and under-use of nitrogen is crucial for optimizing crop productivity and…”
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A Novel Approach for Estimation of Above-Ground Biomass of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine
Published in Remote sensing (Basel, Switzerland) (01-02-2020)“…Timely diagnosis of sugar beet above-ground biomass (AGB) is critical for the prediction of yield and optimal precision crop management. This study established…”
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Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF
Published in Remote sensing (Basel, Switzerland) (01-03-2020)“…The successful use of energy-dispersive X-ray fluorescence (ED-XRF) sensors for soil analysis requires the selection of an optimal procedure of data…”
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The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of ‘Nules Clementine’ mandarin fruit
Published in Food chemistry (15-11-2014)“…•Fruit from inside the canopy were more susceptible to RBD disorder than outside fruit.•Vis/NIRS PLS models predicted rind fructose, glucose and sucrose with…”
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Effects of Long-Term Straw Return and Environmental Factors on the Spatiotemporal Variability of Soil Organic Matter in the Black Soil Region: A Case Study
Published in Agronomy (Basel) (01-10-2022)“…Exploring the effects of straw return and environmental factors on the spatiotemporal variation of soil organic matter (SOM) in black soil regions is essential…”
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Visible Near-Infrared Spectroscopy and Pedotransfer Function Well Predict Soil Sorption Coefficient of Glyphosate
Published in Remote sensing (Basel, Switzerland) (01-03-2023)“…The soil sorption coefficient (Kd) of glyphosate mainly controls its transport and fate in the environment. Laboratory-based analysis of Kd is laborious and…”
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First Steps in Developing a Fast, Cheap, and Reliable Method to Distinguish Wild Mushroom and Truffle Species
Published in Resources (Basel) (01-11-2023)“…Wild mushrooms and truffles (MT) are important resources, which can contribute to the socioeconomic sustainability of forestry ecosystems. However, not all…”
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