Search Results - "Mounem Mouazen, Abdul"

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  1. 1

    On the parsimony, interpretability and predictive capability of a physically−based model in the optical domain for estimating soil moisture content by Zhang, Zheyue, Chen, Yiyun, Wu, Kaixin, Hong, Yongsheng, Shi, Tiezhu, Mounem Mouazen, Abdul

    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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    Journal Article
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    Estimation and Mapping of Soil Properties Based on Multi-Source Data Fusion by Mouazen, Abdul Mounem, Shi, Zhou

    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 by Bao, Yilin, Yao, Fengmei, Meng, Xiangtian, Zhang, Jiahua, Liu, Huanjun, Mounem Mouazen, Abdul

    “…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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  5. 5

    Improving spectral estimation of soil inorganic carbon in urban and suburban areas by coupling continuous wavelet transform with geographical stratification by Hong, Yongsheng, Chen, Yiyun, Chen, Songchao, Shen, Ruili, Guo, Long, Liu, Yaolin, Mounem Mouazen, Abdul, Shi, Zhou

    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 by Kuang, Boyan, Mouazen, Abdul Mounem

    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 by Nawar, Said, Abdul Munnaf, Muhammad, Mouazen, Abdul Mounem

    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 by Hong, Yongsheng, Chen, Songchao, Hu, Bifeng, Wang, Nan, Xue, Jie, Zhuo, Zhiqing, Yang, Yuanyuan, Chen, Yiyun, Peng, Jie, Liu, Yaolin, Mounem Mouazen, Abdul, Shi, Zhou

    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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  9. 9

    A framework of artificial light management for optimal plant development for smart greenhouse application by Pereira, João, Mouazen, Abdul Mounem, Foo, Mathias, Ahmed, Hafiz

    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 by Munnaf, Muhammad Abdul, Guerrero, Angela, Calera, Maria, Mouazen, Abdul Mounem

    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 by Munnaf, Muhammad Abdul, Haesaert, Geert, Van Meirvenne, Marc, Mouazen, Abdul Mounem

    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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  12. 12

    Combined Use of Vis-NIR and XRF Sensors for Tropical Soil Fertility Analysis: Assessing Different Data Fusion Approaches by Tavares, Tiago Rodrigues, Molin, José Paulo, Javadi, S Hamed, Carvalho, Hudson Wallace Pereira de, Mouazen, Abdul Mounem

    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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    Economic and Environmental Assessment of Variable Rate Nitrogen Application in Potato by Fusion of Online Visible and Near Infrared and Remote Sensing Data by Qaswar, Muhammad, Bustan, Danyal, Mouazen, Abdul Mounem

    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 by Zhang, Jing, Tian, Haiqing, Wang, Di, Li, Haijun, Mouazen, Abdul Mounem

    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 by Tavares, Tiago Rodrigues, Molin, José Paulo, Nunes, Lidiane Cristina, Alves, Elton Eduardo Novais, Melquiades, Fábio L., de Carvalho, Hudson Wallace Pereira, Mouazen, Abdul Mounem

    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 by Magwaza, Lembe Samukelo, Landahl, Sandra, Cronje, Paul J.R., Nieuwoudt, Hélène H., Mouazen, Abdul Mounem, Nicolaï, Bart M., Terry, Leon A., Opara, Umezuruike Linus

    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 by Yan, Yang, Ji, Wenjun, Li, Baoguo, Wang, Guiman, Hu, Bifeng, Zhang, Chao, Mouazen, Abdul Mounem

    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 by Akter, Sonia, de Jonge, Lis Wollesen, Møldrup, Per, Greve, Mogens Humlekrog, Nørgaard, Trine, Weber, Peter Lystbæk, Hermansen, Cecilie, Mouazen, Abdul Mounem, Knadel, Maria

    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 by Ferreira, Inês, Dias, Teresa, Melo, Juliana, Mouazen, Abdul Mounem, Cruz, Cristina

    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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