Department of Environment

Publications

2023

  • Archbold, G.; Parra, C.; Carrillo, H.; Mouazen, A.M., 2023. Towards the implementation of ISFET sensors for in-situ and real-time chemical analyses in soils: A practical review. Computers and Electronics in Agriculture, 209, Nr. 107828, https://doi.org/10.1016/j.compag.2023.107828 (In print, IF (2021) = 6.757)

  • Wang, N.; Xu, D.Y.; Xue, J.; Zhang, X.L.; Hong, Y.S.; Peng, J.; Li, H.Y.; Mouazen, A.M.; He, Y.; Shi, Z., 2023. Delineation and optimization of cotton farmland management zones based on time series of soil-crop properties at landscape scale in south Xinjiang, China. Soil and Tillage Research, 231, Nr. 105744, DOI: 10.1016/j.still.2023.105744 (In print, IF (2021) = 7.366)

  • Guo, L.; Song, XD.; Mouazen, A.M.; Fu, P., 2023. Soil Sustainability in the Anthropocene. Agronomy-BASAL, 13(5): 1299, DOI: 10.3390/agronomy13051299 (In print, IF (2021) = 3.949)

  • Su, B.; Zhang, H.; Zhang, Y.; Shao, S.; Mouazen, A.M.; Jiao, H.; Yi, S.; Gao, C., 2023. Soil C:N:P stoichiometry succession and land use effect after intensive reclamation: a case study on Yangtze River floodplain. Agronomy, 13(4), 1133. https://doi.org/10.3390/agronomy13041133 (In print, IF (2023) = 3.949)

  • Munnaf, M. A., & Mouazen, A. M. (2023). An automated system of soil sensor-based site-specific seeding for silage maize: A proof of concept. Computers and Electronics in Agriculture, 209. https://doi.org/10.1016/j.compag.2023.107872 (IF (2023) = 6.757)

  • Ruma, F. Y., Munnaf, M. A., De Neve, S., & Mouazen, A. M. (2023). Management zone-specific N mineralization rate estimation in unamended soil. Precision Agriculture. https://doi.org/10.1007/s11119-023-10023-x (IF (2023) = 5.767)

  • Mehdizadeh, S.A.; Abdolahzare, Z.; Karaji, F.K.; Mouazen, A.M., 2023. Design and manufacturing a microcontroller based measurement device for honey adulteration detection. Journal of Food Composition and Analysis, 116, Nr. 105049, DOI:10.1016/j.jfca.2022.105049 (IF (2021) = 4.52)

2022

  • Akter, S.; de Jonge, L.; Møldrup, P.; Greve, M.H.; Nørgaard, T.; Weber, P.L.; Hermansen, C.; Mouazen, A.M.; Knadel, M., 2022. Visible near-infrared spectroscopy and pedotransfer functions well predict soil sorption coefficient of glyphosate. Remote Sensing, 15(6): 1712, DOI: 10.3390/rs15061712 (in print, IF (2021) = 5.349)

  • Kandpal, L.M.; Mouazen, A.M.; Masithoh, R.E.; Mishra, P.; Lohumi, s.; Cho, B.k.; Lee., H., 2022. Sequential data-fusion of near-infrared and mid-infrared spectroscopy data for improved prediction of quality traits in tuber flours. Infrared Physics and Technology, 127, Nr. 104371 10.1016/j.infrared.2022.104371, DOI (IF (2021) = 2.997)

  • Nawar, S.; Mouazen, A.M., 2022. Combining MIR spectra with deep learning and stacked generalisation methods for improving the prediction of key soil properties. European Journal of Soil Science, 73(6): e13323, DOI: 10.1111/ejss.13323 (IF (2021) = 4.178)

  • Rangarajan, A.K.; Whetton, R.L.; Mouazen, A.M., 2022. Detection of fusarium head blight in wheat using hyperspectral data and deep learning. Expert Systems with Applications, 118140, DOI: 10.1016/j.eswa.2022.118240 (IF (2021) = 8.665)

  • Nyarko, F.; Tack, F.; Mouazen, A.M., 2022. Potential of visible and near infrared spectroscopy coupled with machine learning for predicting soil metal concentrations at the regional scale. Science of The Total Environment, DOI: 10.1016/j.scitotenv.2022.156582, 841 (IF (2021) = 10.753).
  • Almoujahed, M.B.; Rangarajan, A.K.; Whetton, R.L.; Vincke, D.; Eylenbosch, D.; Vermeulen, P.; Mouazen, A.M., 2022. Detection of fusarium head blight in wheat under field conditions using a hyperspectral camera and machine learning. Computers and Electronics in Agriculture, 203, 107456, Doi.org/10.1016/j.compag.2022.107456 (IF (2021) = 6.757).
  • Yan, Y.; Ji, W.; Li, B.; Wang, G.; Hu, B.; Zhang, C.; Mouazen, A.M., 2022. 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. AGRONOMY-BASEL, 12(10): 2532; DOI: 10.3390/agronomy12102532 (IF (2021) = 3.949).
  • Nawar, S.; Richard, F.; Tekin, Y.; Mouazen, A.M., 2022. Fusion of Gamma-rays and portable X-ray fluorescence spectral data to measure available potassium in soils. Soil and Tillage Research, 223, 105472; DOI: https://doi.org/10.1016/j.still.2022.105472 (IF (2021) = 7.366).
  • Mouazen, A.M.; Nyarko, F.; Qaswar, M.; Tóth, G.; Gobin, A.; Moshou, D., 2022.. Spatiotemporal prediction and mapping of heavy metals at regional scale using regression methods and landsat 7. Remote Sensing, 2021, 13, 4615: DOI: 10.3390/rs13224615 (IF = 5.349).
  • Qaswar, M.; Yiren, L.; Liu, K.; Zhenzhen, L.; Hongqian, H.; Lan, X.; Jianhua, J.; Ahmed, W.; Lisheng, L.; Mouazen, A.M.,; Huimin, Z., 2022. Interaction of soil nutrients and arsenic (As) in paddy soil in a long-term fertility experiment. Sustainability, 19, 11939, DOI: 10.3390/su141911939 (IF (2021) = 3.889).
  • Su, B.; Zhang, H.; Shao, S.; Zhang, Y.; Mouazen, A.M., Jiao, H.; Yang, J.; Han, L.; Hu, D.; Gao, C., 2022. Soil Development and Land Use Decouples Soil C:N:P Stoichiometry: A Case Study on Yangtze River Alluvial Fans. SSRN Electronic Journal, http://dx.doi.org/10.2139/ssrn.4084584 (IF (2021) = 1.269).
  • Munnaf, M.A.; Mouazen, A.M., 2022. Spectra transfer based learning for predicting and classifying soil texture with short-ranged vis-NIRS sensor. Soil and Tillage Research, 225, 105545 DOI: 10.1016/j.still.2022.105545 (IF (2021) = 7.366)

2021

  • Delbecque, N.; Dondeyne, S.; Gelaude, F.; Mouazen, A.M.; Vermeir, P.; Verdoodt, A., Urban soil properties distinguished by parent material, land use, time since urbanization, and pre-urban geomorphology. Geoderma, 413: DOI: 10.1016/j.geoderma.2022.115719 (in print: IF (2020) = 6.114)
  • Zhang, J.; Guerrero, A.; Mouazen, A.M., Simulation of variable-rate manure application under different application scenarios. Soil and Tillage Research, DOI:10.1016/j.still.2022.105416 (In print: IF (2020) = 5.374)
  • Munnaf, M.A.; Haesaert, G.; Mouazen, A.M., Site-specific seeding for maize production using management zone maps delineated with multi-sensors data fusion scheme. Soil and Tillage Research, 22, 105284, DOI: 10.1016/j.still.2022.105377  (In print: IF (2020) = 5.374)
  • Kandpal, L.M.; Cruz, C.; Munnaf, M.A.; Mouazen, AM., Spectra fusion of mid-infrared (MIR) and X-ray fluorescence (XRF) spectroscopy for estimation of selected soil fertility attributes. Sensors, 22, 3459, DOI: 10.3390/s22093459 (IF (2020) = 3.756)
  • Munnaf, M.A.; Mouazen, A.M., Removal of external influences from online Vis-NIR spectra for predicting soil organic carbon using machine learning. CATENA, 221, Nr. 105015, DOI: 10.1016/j.catena.2022.106015 (in print: IF (2020) = 5.198)
  • Guerrero, A.; Javadi, S.H.; Mouazen, A.M., Automatic detection of quality soil spectra in an online vis-NIR soil sensor. Computers and Electronics in Agriculture, 196, 106857, DOI: 10.1016/j.compag.2022.106857 (in print: IF (2020) = 5.565)
  • Karapetsas, N.; Alexandridis, T.K.; Bilas, G.; Munnaf, M.A.; Guerrero, A.P.; Calera, M.; Osann, A.; Gobin, A.; Reznik T.; Moshou D., Mouazen, A.M., Mapping soil properties with fixed rank kriging of proximally sensed soil data fused with Sentinel-2 biophysical parameters. Remote Sensing (In print: IF (2020) = 4.848)
  • Pereira, J; Mouazen, A.M.; Foo, M.; Ahmed, H., 2021. A framework of artificial light management for optimal plant development for smart greenhouse application. PLOS One, 13, DOI: 10.1371/journal.pone.0261281 (IF (2020) = 3.24)
  • Guerrero, A.; De Neve, S.; Mouazen, A.M., Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization – A review. Advances in Agronomy, 168, https://doi.org/10.1016/bs.agron.2021.02.001 (IF (2019) = 6.919)
  • Javadi, S.H.; Guerrero, A.; Mouazen, A.M., Clustering and smoothing pipeline for management zone delineation. Sensors, 22, 645. https://doi.org/10.3390/s22020645 (IF (2020) = 3.576)
  • Kafashan, Jalal; Wiacek, Joanna; Ramon, Herman; Mouazen, Abdul M., Modelling and simulation of fruit drop tests by discrete element method. Biosystems Engineering 2021, 212, 228-240. https://doi.org/10.1016/j.biosystemseng.2021.08.007 (IF (2020)=4.123)
  • Hong, Y., Munnaf, M. A., Guerrero, A., Chen, S., Liu, Y., Mouazen, A.M., 2021. Fusion of visible-to-near-infrared and mid-infrared spectroscopy to estimate soil organic carbon. Soil Tillage Research. 217, 105284. https://doi.org/10.1016/j.still.2021.105284 [IF(2020)=5.374].
  • Munnaf, M.A., Mouazen, A.M., 2021. Optimising site-specific potato seeding rates for maximum yield and profitability. Biosystems Engineering. 212, 126–140. https://doi.org/10.1016/j.biosystemseng.2021.10.006 [IF(2020)=4.123]
  • Appeltans, S.; Pieters, J.; Mouazen, A.M., 2021. Potential of laboratory hyperspectral data for in-field detection of Phytophthora infestans on potato. Precision Agriculture 10.1007/s11119-021-09865-0 (In print: IF (2020) = 5.385)
  • Mirzaei, S.; Boloorani, A.D.; Bahrami, H.A.; Alavipanah, S.K.; Mousivand, A.; Mouazen, A.M., 2021. Minimising the effect of moisture on soil property prediction accuracy using external parameter orthogonalizationin. Soil and Tillage Research, Nr. 105225, DOI: 10.1016/j.still.2021.105225 (In print: IF (2020) = 5.374)
  • Afriyie, E.; Verdoodt, A.; Mouazen, A.M., 2021. Potential of visible-near infrared spectroscopy for the determination of three soil aggregate stability indices. Soil and Tillage Research, Nr. 105218, DOI: 10.1016/j.still.2021.105218 (In print: IF (2020) = 5.374)
  • Appeltans, S.; Pieters, J.G.; Mouazen, A.M., 2021. Detection of leek white tip disease under field conditions using hyperspectral proximal sensing and supervised machine learning. Computers and Electronics in Agriculture, Volume 190, 2021, 106453, ISSN 0168-1699, https://doi.org/10.1016/j.compag.2021.106453 (IF (2020) = 5.565)

  • Afriyie, E.; Verdoodt, A.; Mouazen, A.M., 2021. Data fusion of visible near-infrared and mid-infrared spectroscopy for rapid estimation of soil aggregate stability indices. Computers and Electronics in Agriculture, 187 (Nr. 106229), DOI: 10.1016/j.compag.2021.106229 (in print: IF (2020) = 5.565)

  • Hong, Y.; Chen, Y.; She, R.; Chen, S.; Xu, G.; Cheng, H.; Guo, L.; Wei, Z.; Yang, J.; Liu, Y.; Shi, J.; Mouazen, A.M., 2021. Diagnosis of cadmium contamination in urban and suburban soils using visible-to-near-infrared spectroscopy. Environmental Pollution (in print : IF (2020) = 8.071)
  • Guerrero, A.; Mouazen, A.M., 2021. Evaluation of variable rate nitrogen fertilization scenarios in cereal crops from economic, environmental and technical perspective. Soil and Tillage Research, 213, DOI: 10.1016/j.still.2021.105110 (In print: IF (2020) = 5.374)

  • Munnaf, M.A., Mouazen, A.M., 2021. Development of a soil fertility index using on-line Vis-NIR spectroscopy. Comput. Electron. Agric. 188, 106341. https://doi.org/10.1016/j.compag.2021.106341 [IF=5.565]

  • Tavares, T.R.; Mouazen, A.M; Nunes, L.C.; dos Santos, F.R.; Melquiades, F.L.; da Silva, T.R.; Krug, F.J.; Molin, J.P., 2021. Multi-Sensor approach for tropical soil fertility analysis: comparison of individual and combined performance of VNIR, XRF, and LIBS spectroscopies. Agronomy, 11(6), 1028; https://doi.org/10.3390/agronomy11061028 (IF (2020) = 3.417)
  • Munnaf, M.A.; Haesaert, G.; Van Meirvenne, M.; Mouazen, A.M., 2021. Multi-sensors data fusion approach for site-specific seeding of consumption and seed potato production. Precision Agriculture. 10.1007/s11119-021-09817-8
  • Guerrero, A.; De Neve, S.; Mouazen; A.M., 2021. Current sensor technologies for in situ and on-line measurement of soil nitrogen for variable rate fertilization – A review. Advances in Agronomy. ISSN 0065-2113. https://doi.org/10.1016/bs.agron.2021.02.001. (IF (2019) = 5.279)
  • Appeltans, S.; Pieters, J.G.; Mouazen, A.M., 2021. Detection of Leek Rust Disease under Field Conditions Using Hyperspectral Proximal Sensing and Machine Learning. Remote Sensing 2021, 13(7), 1341; https://doi.org/10.3390/rs13071341 (5 year IF = 5.001)
  • Whetton, R.; Zhou, Y; Nawar, S.; Mouazen, A.M., 2021. Modeling the influence of soil properties on crop yields using non-linear NFIR model and laboratory data. Soil Systems (5), 12. https://doi.org/10.3390/soilsystems5010012
  • Mouazen, A.M.; Shi, Z., 2021. Estimation and Mapping of Soil Properties Based on Multi-Source Data Fusion, Remote Sensing, 13, 978. https://doi.org/10.3390/rs13050978
  • Guerrero, A.; De Neve, S.; Mouazen; A.M., 2021, Data fusion approach for map-based variable-rate nitrogen fertilization in barley and wheat, SOIL & TILLAGE RESEARCH. 205., DOI 10.1016/j.still.2020.104789
  • Munnaf, M.A.; Haesaert, G.;, Mouazen, A.M., 2021,Map-based site-specific seeding of seed potato production by fusion of proximal and remote sensing data, Soil and Tillage Research. Volume 206, DOI 10.1016/j.still.2020.104801
  • Munnaf, M.A.; Guerrero, A.; Nawar, S.; Haesaert, G.; Van Meirvenne, M.; Mouazen, A.M., 2021. A combined data mining approach for on-line prediction of key soil quality indicators by Vis-NIR spectroscopy. Soil and Tillage Research. Volume 205, January 2021, 104808 https://doi.org/10.1016/j.still.2020.104808

2020

  • Javadi, S.H.; Munnaf, M.A.; Mouazen, A.M., 2020. Fusion of Vis-NIR and XRF spectra for estimation of key soil attributes. Geoderma, 385, DOI: 10.1016/j.geoderma.2020.114851
  • Zhang, J., Guerrero, A., Mouazen, A.M., 2020. Map-based variable-rate manure application in wheat using a data fusion approach. Soil and Tillage Research 104846.
  • Muñoz, A.; Park, J.; Mouazen, A.M.; de Oliveira, J.B.; Moshou, D., 2020. Smart environments and ambient intelligence in agricultural and environmental technology. Journal of Ambient Intelligence and Smart Environments. DOI 10.3233/AIS-500576 (In print: IF (2019) = 1.189)

  • Munnaf, M.A.; Van Meirvenne; Haesaert, G.; Mouazen, A.M., 2020. Map-based site-specific seeding of consumption potato production using high-resolution soil and crop data fusion. Computers and Electronics in Agriculture (In print: IF (2019) = 3.858)

  • Javadi, S.H.; Guerrero, A.; Mouazen, A.M., 2020. Source localization in resource-constrained sensor networks based on deep learning. Neural Computing and Applications (IF (2019) = 4.774)
  • Anyaoha, K.E.; Sakrabani, R.; Patchigolla, K.; Mouazen, A.M., 2020. Co-gasification of oil palm biomass in a pilot scale downdraft gasifier. Energy Reports, 6: 1888–1896 (IF (2019) = 3.595)

  • Afriyie, E.; Verdoodt, A.; Mouazen, A.M., 2020. Estimation of aggregate stability of some soils in the loam belt of Belgium using mid-infrared spectroscopy. Science of the Total Environment 10.1016/j.scitotenv.2020.140727 (in print: IF (2019) = 6.511)

  • Lazaar, A.; Mouazen, A.M., El Hammouti, K.; Fullen, M.; Pradhan, B.; Memon, M.S.; Andich, K.; Monir, A., 2020. The application of proximal visible and near-infrared spectroscopy to estimate soil organic matter on the Triffa Plain of Morocco. International Soil and Water Conservation Research. 8(2): 195-204 (IF (2019) = 3.77)

  • Appeltans, S., Guerrero, A., Nawar, S., Pieters, J., & Mouazen, A. M. 2020. Practical Recommendations for Hyperspectral and Thermal Proximal Disease Sensing in Potato and Leek Fields. Remote Sensing. https://doi.org/10.3390/rs12121939

  • Hong, Y.; Guo, L.; Chen, S.; Linderman, M.; Mouazen, A.M.; Yu, L.; Chen, Y.; Liu, Y.; Liu, Y.; Cheng, H.; Liu, Y., 2020. Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination algorithm. Geoderma, https://doi.org/10.1016/j.geoderma.2020.114228 (in print (IF (2018) = 4.336)

  • Hong, Y.; Chen, S.; Chen, Y.; Linderman, M.; Mouazen, A.M.; Liu, Y.; Guo, L.; Yu, L.; Liu, Y.; Cheng, H.; Liu, Y., 2020. Comparing laboratory and airborne hyperspectral data for the estimation and mapping of topsoil organic carbon: Feature selection coupled with random forest. Soil and Tillage Research, https://doi.org/10.1016/j.still.2020.104589 (in print (IF (2018) = 4.675)

  • Zhang, J.; Tian, H.; Wang, D.; Li, H.; Mouazen, A.M., 2020. A novel approach for estimation of above-ground biomass of sugar beet based on wavelength selection and optimised support vector machine. Remote Sensing, doi: 10.3390/rs12040620 (In print; IF (2018) = 4.118)

  • Tavares, T.R.; Molin, J.P.; Nunes, L.C.; Alves, E.E.N.; Melquiades, F.L.; de Carvalho, H.W.P.; Mouazen, A.M., 2020. Effect of X-Ray Tube Configuration on Measurement of Key Soil Fertility Attributes with XRF. Remote Sens. 2020, 12, 963.
  • Tavares, T.R.; Mouazen, A.M.; Alves, E.E.N.; dos Santos, F.R.; Melquiades, F.L.; De Carvalho, H.W.P.; Molin, J.P., 2020. Assessing soil key fertility attributes using a portable X-Ray: A simple method to overcome the matrix effect. Agronomy, 10(787); doi:10.3390/agronomy10060787 
  • Nawar, S.; Munnaf, M.A.; Mouazen, A.M., 2020. Machine learning based on-line prediction of soil organic carbon after removal of soil moisture effect. Remote Sensing, 12(8), 1308; https://doi.org/10.3390/rs12081308

2019

  • Tümsavaş, Z., Tekin, Y., Ulusoy, Y., & Mouazen, A. M., 2019. Prediction and mapping of soil clay and sand contents using visible and near-infrared spectroscopy. Biosystems engineering, 177: 90-100

  • Douglas, R.K.; Nawar, S.; Alamar, M.C.; Coulon, F., Mouazen, A.M., 2019. Rapid detection of alkanes and polycyclic aromatic hydrocarbons in oil-contaminated soil with visible near-infrared spectroscopy. European Journal of Soil Sciences, 70(1): 14-150. (IF (2018) = 2.818)

  • Al-Shammary, A.A.G.; Kouzani, Z.A.; Saeed, T.R.; Lahmod, N.R.; Mouazen, A.M., 2019. Evaluation of a novel electromechanical system for measuring soil bulk density. Biosystems Engineering, 179: 140-154. (IF (2018) = 2.983)

  • Cipullo S.; Nawar S.; Mouazen A.M.; Campo P.; Coulon F., 2019. Predicting bioavailability change of complex chemical mixtures in contaminated soils using visible and near-infrared spectroscopy and random forest regression. Scientific Reports, 9:4492 (IF (2018) = 4.011) 

  • Douglas, R.K.; Nawar, S.; Alamar, M.C.; Coulon, F., Mouazen, A.M., 2019. The application of a handheld mid-infrared spectrometry for rapid measurement of oil contamination in agricultural sites. Science of the Total Environment, 665: 253-261. (IF (2018) = 5.589) 

  • Bahri, A.; Nawar, S.; Selmi, H.; Amraoui, M.; Rouissi, H.; Mouazen, A.M., 2019. Application of visible and near-infrared spectroscopy for evaluation of ewes milk with different feeds. Animal Production Science, 59(6): 1190-1200 (IF (2018) = 1.275)

  • Nawar, S.; Mouazen, A.M., 2019. On-line vis-NIR spectroscopy prediction of soil organic carbon using machine learning. Soil & Tillage Research, 190: 120-127. (IF (2018) = 4.675)

  • Nawar, S.; Delbecque, N.; Declercq, Y.; De Smedt, P.; Finke, P.; Verdoodt, A.; Van Meirvenne, M.; Mouazen, A.M., 2019. Can spectral analyses improve measurement of key soil fertility parameters with X-ray fluorescence spectrometry? Geoderma, 350: 29-39. (IF (2018) = 4.336) 

  • Nawar, S.; Cipullo, S.; Douglas, R.K.; Coulon, F.; Mouazen, A.M., 2019. The applicability of spectroscopy methods for estimating potentially toxic elements in soils: state-of-the-art and future trends. Applied Spectroscopy Reviews, DOI: 10.1080/05704928.2019.1608110 (IF (2018) = 2.888)

  • Munnaf, M.A.; Haesaert, G.; Van Meirvenne, M.; Mouazen, A.M., 2019. Site-specific seeding using multi-sensor and data fusion techniques: A review. Advances in Agronomy, DOI: 10.1016/bs.agron.2019.08.001 (IF (2018) = 5.057)

  • Archbold, G.W.; Beltrán, A.; Ruiz, F.; Narducci, M.S.; Méndez, D.; Trujillo, L.C.; Parra, C.; Carrillo, H.; Mouazen, A.M., 2019. pH Measurement IoT System for Precision Agriculture Applications. IEEE Latin America Transactions Research, 17(5): 823-832 (In print: IF (2018) = 0.804)

  • Al-Shammary, A.A.G.; Kouzani, Z.A.; Mouazen, A.M., 2019. Experimental investigation of a digital electromechanical system to measure soil bulk density in a silty clay soil under different solarisation practices. Computers and Electronics in Agriculture, 166 (IF (2018) = 3.171) 

  • Yang, M.; Mouazen, A.M.; Zhou, X. M.; Guo, X., 2019. Assessment of a soil fertility index using visible and near infrared spectroscopy in the rice paddy region of southern China. European Journal of Soil Science. (In print: IF (2018) = 2.818)

  • Declercq, Y.; Delbecque, N.; De Grave, J.; De Smedt, P.; Finke, P.; Mouazen, A.M.; Nawar, S.; Vandenberghe, D.; Van Meirvenne, M.; Verdoodt, A., 2019. Performance of three different portable XRF scanners to assess the geochemistry of a global soil dataset. Remote Sensing, 11(21), 2490; doi:10.3390/rs11212490 (IF (2018) = 4.118)

  • Munnaf, M.A., Nawar, S., Mouazen, A.M., 2019. Estimation of Secondary Soil Properties by Fusion of Laboratory and On-Line Measured Vis–NIR Spectra. Remote Sens. 11, 2819. https://doi.org/10.3390/rs11232819

2018

  • Whetton, R. L., Waine, T. W., & Mouazen, A. M., 2018. Evaluating management zone maps for variable rate fungicide application and selective harvest. Computers and Electronics in Agriculture, 153: 202-212.
  • Anyaoha, K. E., Sakrabani, R., Patchigolla, K., and Mouazen, A. M., (2018). Critical evaluation of oil palm fresh fruit bunch solid wastes as soil amendments: Prospects and challenges. Resources, Conservation and Recycling, 136: 399-409.
  • Al-Asadi, R. A., & Mouazen, A. M., 2018. A prototype measuring system of soil bulk density with combined frequency domain reflectometry and visible and near infrared spectroscopy. Computers and Electronics in Agriculture, 151: 485-491.
  • Nawar, S., and Mouazen, A. M., 2018. Optimal sample selection for measurement of soil organic carbon using on-line vis-NIR spectroscopy. Computers and Electronics in Agriculture, 151: 469-477.
  • Okparanma, R., Araka, P., Ayotamuno, J., and Mouazen, A., 2018. Towards enhancing sustainable reuse of pre-treated drill cuttings for construction purposes by near-infrared analysis: A review. Journal of Civil Engineering and Construction Technology, 9(3): 19-39.
  • Anyaoha, K. E., Sakrabani, R., Patchigolla, K., and Mouazen, A. M., 2018. Evaluating oil palm fresh fruit bunch processing in Nigeria. Waste Management & Research, 36(3), 236-246.
  • Douglas, R. K., Nawar, S.., Cipullo, S., Alamar, MC., Coulon, F., and Mouazen, A.M., 2018. Evaluation of vis-NIR reflectance spectroscopy sensitivity to weathering for enhanced assessment of oil contaminated soils.  Science of the Total Environment, 626: 1108-1120.
  • Whetton, R. L., Waine, T. W., and Mouazen, A.M., 2018. Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops, part 2: on-line field measurement.  Biosystems Engineering 167: 144-158.
  • Whetton, R. L., Hassall, K.L., Waine, T. W., and Mouazen, A.M., 2018. Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops, part 1: laboratory study.  Biosystems Engineering 166: 101-115.
  • Douglas, R. K., Nawar, S. , Alamar, M. C., Coulon, F. and Mouazen, A. M., 2018. Rapid detection of alkanes and polycyclic aromatic hydrocarbons in oil‐contaminated soil with visible near‐infrared spectroscopy. Eur J Soil Sci. . doi:10.1111/ejss.12567
  • Douglas, R.K.; Nawar, S.; Alamar, M.C.; Mouazen, A.M.; Coulon, F., 2018. Rapid prediction of total petroleum hydrocarbons concentration in contaminated soil using vis-NIR spectroscopy and regression techniques. Science of the Total Environment, 616-617: 147-155.
  • Mouazen, A.M.; Al-Asadi, R.A.; 2018. Influence of soil moisture content on assessment of bulk density with combined frequency domain reflectometry and visible and near infrared spectroscopy under semi field conditions. Soil & Tillage Research,  176: 95-103.
  • Whetton, R.; Waine, T.; Mouazen, A.M., 2018. Hyperspectral measurements of yellow rust and fusarium in cereal crops: Part 1: Laboratory measurement. Biosystems Engineering, 166: 101-115.

2017

  • Morellos, A.; Pantazi, X-E.; Moshou, D.; Alexandridis, T.; Whetton, R.; Tziotzios, G; Wiebensohn, J.; Bill, R.; Mouazen, A.M., 2016. Machine learning based prediction of soil total nitrogen, organic carbon and moisture content by using VIS-NIR spectroscopy. Biosystems Engineering, 152: 104-116.
  • Ibrahmi, A.; Bentaher, H.; Hamza, E.; Maalej, A; Mouazen, A.M., 2017. Advanced analytical method of mouldboard plough's design. International Journal of Advanced Manufacturing Technology, 88(1-4): 781–788.
  • Ibrahmi, A.; Bentaher, H.; Hamza, E.; Maalej, A; Mouazen, A.M., 2017. 3D finite element simulation of the effect of mouldboard plough's design on both the energy consumption and the tillage quality. International Journal of Advanced Manufacturing Technology, 90(1): 473-487.
  • Whetton, R.; Waine, T.; Mouazen, A.M., 2017. Optimising configuration of a hyperspectral imager for on-line field measurement of wheat canopy. Biosystems Engineering, 155: 84-95.
  • Nawar, S.; Mouazen, AM., 2017. Predictive performance of mobile vis-near infrared spectroscopy for key soil properties at different geographical scales by using spiking and data mining techniques. Catena, 151: 118-129.
  • Nawar, S.; Corstanje, R.; Halcro G.; Mulla, D.; Mouazen, A.M., 2017. Delineation of soil management zones for variable rate fertilisation: a review. Advances in Agronomy, 143: 175–245.
  • Pantazi, X-E.; Moshou, D.; Oberti, R.; West, J.; Mouazen, M.A., Bochtis, D., 2017. Detection of biotic and abiotic stresses in crops by using hierarchical self organizing classifiers. Precision Agriculture, 18(3): 383–393.
  • Whetton, R.; Zhou, Y; Shaddad, S.; Mouazen, A.M., 2017. Nonlinear parametric modelling to study how soil properties affect crop yields and NDVI. Computers and Electronics in Agriculture, 138: 127-136.
  • Whetton, R.; Zhou, Y; Mouazen, A.M., 2017. A new nonlinear parametric modelling method to quantify influence of soil properties on crop yields - Application to on-line soil data. Soil Research (in print).
  • Galaz, V.; Mouazen, A.M., 2017. “New wilderness” requires algorithmic transparency: a response to Cantrell et al. Trends in Ecology & Evolution, 32(9): 628-629.
  • Whattoff, D., Mouazen, A.M; Waine, T., 2017. A multi sensor data fusion approach for creating variable depth tillage zones. Advances in Animal Biosciences, 8(2): 461-465. Doi: 10.1017/S204047001700041.
  • Nawar, S.; Mouazen, AM., 2017. Comparison between random forests, artificial neural network and gradient boosted machines methods of on-line vis-NIR spectroscopy measurements of soil total nitrogen and total carbon. Sensors, 17: 2428.
  • Douglas, R.K.; Nawar, S.; Alamar, M.C.; Coulon, F.; Mouazen, A.M., 2017. Almost 25 years of chromatographic and spectroscopic analytical method development for petroleum hydrocarbons analysis in soil and sediment: state-of-the-art, progress and trends. Critical Reviews in Environmental Science and Technology, 47(16): 1497–1527.

 2016

  • Mouazen, A.M.; Steffens, M.; Borisover, M., 2016. Special Issue - Reflectance and fluorescence spectroscopy in soil science – current and future research and developments. Soil & Tillage Research, 156: 448-449.
  • Mouazen, A.M.; Kuang, B., 2016. On-line visible and near infrared spectroscopy for in-field phosphorous management. Soil & Tillage Research, 156: 471-477.
  • Ji, W.; Li, S.;Chen, S.; Shi, Z.; Viscarra Rossel, R.A., Mouazen, A.M., 2016. Prediction of soil attributes using the Chinese soil spectral library and standardized spectra recorded at field conditions. Soil & Tillage Research, 156: 492-500.
  • Guerrero, C.; Wetterlind, J.; Stenberg, B.; Mouazen, A.M.; Gabarrón–Galeote , M.A.; Ruiz-Sinoga, J.D.; Zornoza, R.; Viscarra Rossel, R.A., 2016.  Do we really need large spectral libraries for local scale SOC assessment with NIR spectroscopy? Soil & Tillage Research, 156: 501-509.
  • Nawar, S.; Buddenbaum, H.; Hill, J.; Kozak, J.; Mouazen, A.M., 2016. Estimating the soil clay content and organic matter by means of different calibration methods of vis-NIR diffuse reflectance spectroscopy. Soil & Tillage Research, 156: 510-522.
  • Pantazi, X-E.; Moshou, D.; Alexandridis, T.; Whetton, R.; Mouazen, A.M., 2016. Wheat yield prediction using machine learning and advanced sensing technologies. Computers and Electronics in Agriculture, 121: 57-65.
  • Shaddad, S.M.; Madrau, S.; Castrignanò, A.; Mouazen, A.M., 2016. Data fusion techniques for delineation of site-specific management zones in a field in UK. Precision Agriculture, 17(2): 200-217.
  • Shamal, S.A.M.; Alhwaimel, S.A.; Mouazen, A.M., 2016. Application of an on-line sensor to map soil packing density for site specific cultivation. Soil and Tillage Research, 162: 78-86
  • Kotrocz, K.; Mouazen, A.M.; Kerényi, G., 2016. Numerical simulation of soil‑cone penetrometer interaction using discrete element method. Computers and Electronics in Agriculture, 125: 63-73.
  • Gebregziabher, S.; De Swert, K.; Saeys, W.; Ramon, H.; De Ketelaere, B.; Mouazen, A.M.; Gebray, P.; Gebrehiwot, K.; Bauer, H.; Deckers, J.; De Baerdemaeker, J., 2016. Effect of Side-Wings on Draught: The Case of Ethiopian Ard Plough (Maresha). Computers and Electronics in Agriculture, 127: 131-140.
  • Gebregziabher, S.; De Swert, K.; Saeys, W.; Ramon, H.; De Ketelaere, B.; Mouazen, A.M.; Gebrehiwot, K.; Deckers, J.; De Baerdemaeker, J., 2016. A mobile, in-situ soil bin test facility to investigate the performance of Maresha plough. Biosystems Engineering, 149: 38-50.
  • Mouazen, A.M.; Shi, Z.; Van Meirvenne, M., 2016. Special Issue: Proximal soil sensing – Sensing soil condition and functions. Biosystems Engineering, 152: 1-2.
  • Ulusoy, Y.; Tekin, Y.; Tümsavaş, Z.; Mouazen, A.M., 2016. Prediction of cation exchange capacity using visible and near infrared spectroscopy. Biosystems Engineering, 152: 79-93.

2015

  • Kuang, B.; Tekin, Y.; Mouazen, A.M., 2015. Comparison between artificial neural network and partial least squares for on-line visible and near infrared spectroscopy measurement of soil organic carbon, pH and clay content. Soil & Tillage Research, 146(Part B): 243-252.
  • Mouazen, A.M.; Palmqvist, M., 2015. Development of a framework for the evaluation of the environmental benefits of controlled traffic farming. Sustainability-Basel, 7: 8684-8708.
  • Ibrahmi, A.; Bentaher, H.; Hbaieb, M.; Maalej, A.; Mouazen, A.M., 2015. Study the effect of tool geometry and operational conditions on moldboard plough forces and energy requirement: Part1. Finite element simulation. Computers and Electronics in Agriculture, 117: 258-267.
  • Ibrahmi, A.; Bentaher, H.; Hamza, E.; Maalej, A.; Mouazen, A.M., 2015. Study the effect of tool geometry and operational conditions on mouldboard plough forces and energy requirement: Part2. Experimental validation with soil bin test. Computers and Electronics in Agriculture, 117: 268-275.

2014

  • Al-Asadi, R.A.; Mouazen, A.M., 2014. Combining frequency domain reflectometry and visible and near infrared spectroscopy for measurement of soil bulk density. Soil & Tillage Research, 135: 60-70.
  • Okparanma, R.N.; Coulon, F.; Mouazen, A.M., 2014. Analyses of petroleum-contaminated soils using diffuse reflectance spectroscopy and sequential ultrasonic solvent extraction-gas chromatography. Environmental Pollution, 184:298-305.
  • Magwaza, S.L.; Opara, U.L.; Cronje, P.J.; Landhal, S.; Niewwoudt, H.H.; Mouazen, A.M.; Nicolaï, B.M.; Terry, L., 2014. Assessment of rind quality of 'Nules Clementine' mandarin during postharvest storage:  1. Vis/NIRS PCA models and relationship with canopy position. Scientia Horticulturae, 165: 410-420.
  • Magwaza, S.L.; Opara, U.L.; Cronje, P.J.; Landhal, S.; Niewwoudt, H.; Mouazen, A.M.; Nicolaï, B.M.; Terry, L.,  2014. Assessment of rind quality of 'Nules Clementine' mandarin fruit during postharvest storage: 2. Robust Vis/NIRS PLS models for prediction of physico-chemical attributes. Scientia Horticulturae, 165: 431-432.
  • Guerrero, C.; Stenberg, B.; Wetterlind, J.; Viscarra Rossel, R.A.; Maestre, F.T.; Mouazen, A.M.; Zornoza, R.; Ruiz-Sinoga, J.D.; Kuang, B., 2014.  Assessment of soil organic carbon at local scale with spiked NIR calibrations: effects of selection and extra-weighting of the spiking subset. European Journal of Soil Science, 65: 248-263.
  • Okparanma, R.; Coulon, F., Mayr, T., Mouazen, A.M., 2014. Mapping polycyclic aromatic hydrocarbon and total toxicity equivalent soil concentrations by visible and near-infrared spectroscopy. Environmental Pollution, 192: 162-170.
  • Mouazen A.M.; Alhwaimel, S.A., Kuang, B.; Waine, T., 2014. Multiple on-line soil sensors and data fusion approach for delineation of water holding capacity zones for site specific irrigation. Soil & Tillage Research, 143:95-105.
  • Magwaza, S.L.; Landhal, S.; Cronje, P.J.; Niewwoudt, H.; Mouazen, A.M.; Nicolaï, B.M.; Terry, L.;  Opara, U.L., 2014. The use of Vis/NIRS and chemometric analysis to predict fruit defects and postharvest behaviour of 'Nules Clementine' mandarin fruit. Food Chemistry, 163: 267-247.
  • Tekin, Y.; Ulusoy, Y.; Tumsavas, Z.; Mouazen, A.M., 2014. Online measurement of soil organic carbon as correlated with wheat normalised difference vegetation index in a vertisol field. Scientific World Journal, 2014:569057, 12.
  • Todorova, M.; Mouazen, A.M.; Lange, H.; Atanassova, S., 2014. Potential of near-infrared spectroscopy for measurement of heavy metals in soil as affected by calibration set size. Water Air and Soil Pollution, 225:2036.
  • Mouazen, A.M.; Alwalaan, N.M., 2014. Glucose adulteration in Saudi honey with visible and near infrared spectroscopy.  International Journal of Food Properties. 17(10): 2263-2274.
  • Tekin, Y.; Tumsavas, Z.; Mouazen, A.M., 2014. Comparing the artificial neural network with partial least squares for prediction of soil organic carbon and pH at different moisture content levels using visible and near-infrared spectroscopy. REVISTA BRASILEIRA DE CIENCIA DO SOLO, published by the Brazilian Society for Soil Science (SBCS), 38: 1794-1804.

2013

  • Quraishi, M.Z.; Mouazen, A.M., 2013. Calibration of an on-line sensor for measurement of topsoil bulk density in all soil textures. Soil & Tillage Research, 126: 219-228.
  • Quraishi, M.Z.; Mouazen, A.M., 2013. Development of a methodology for in situ assessment of topsoil dry bulk density. Soil & Tillage Research, 126: 229-237. Okparanma, R.N.; Mouazen, A.M., 2013. Determination of total petroleum hydrocarbon (TPH) and polycyclic aromatic hydrocarbon (PAH) in soils: A review of spectroscopic and nonspectroscopic techniques. Applied Spectroscopy Reviews, 48(6): 458-486.
  • Kuang, B.; Mouazen, A.M., 2013.  Effect of spiking strategy and ratio on calibration of on-line visible and near infrared soil sensor for measurement in European farms. Soil & tillage Research, 128: 125-136. [67] Kuang, B.; Mouazen, A.M., 2013. Non-biased prediction of soil organic carbon and total nitrogen with vis-NIR spectroscopy, as affected by soil moisture content and texture. Biosystems Engineering, 114(3): 249-258.
  • Tumsavas, Z.; Tekin, Y.; Mouazen, A.M., 2013. Effect of moisture content on the prediction of cation exchange capacity using visible and near infrared spectroscopy. Journal of Food, Agriculture & Environment, 11(1): 760-764.
  • Okparanma, R.N.; Mouazen, A.M., 2013. Combined effects of oil concentration, clay and moisture contents on diffuse reflectance spectra of diesel-contaminated soils. Water Air and Soil Pollution, 224(5): 1539. (Impact Factor = 1.685).
  • Marin-González, O; Kuang, B.; Quraishi, M.Z.; Munoz-Garcia, M.A.; Mouazen, A.M., 2013.  On-line measurement of soil properties without direct spectral response in near infrared spectral range. Soil & Tillage Research, 132: 21-29.
  • Tekin, Y.; Kuang, B.; Mouazen, A. M., 2013. Potential of on-line visible and near infrared spectroscopy for measurement of pH for deriving variable rate lime recommendations. Sensors, 13: 10177 - 10190. (Impact Factor = 2.048).
  • Quraishi, M.Z.; Mouazen, A.M., 2013. A prototype sensor for the assessment of soil bulk density. Soil & Tillage Research. 134: 97-110.
  • Tamás, K.; Jóri, I.J.; Mouazen, A.M., 2013. Modelling soil-sweep interaction with discrete element method. Soil & Tillage Research. 134:223-231. (Impact Factor = 2.575).
  • Tekin, Y.; Tumsavas, Z.; Mouazen, A. M., 2013. The interaction effect of moisture content and texture on measurement of soil organic carbon using visible and near infrared spectroscopy. Journal of Food, Agriculture & Environment, 11(3&4):2208-2214.
  • Okparanma, R.; Mouazen, A.M., 2013. Visible and near-infrared spectroscopy analysis of a polycyclic aromatic hydrocarbon in soils. Scientific World Journal, 2013:160360, 9.

Patents

Mouazen, A.M., 2006. Soil Survey Device. International publication published under the patent cooperation treaty (PCT). World Intellectual Property Organization, International Bureau. International Publication Number: WO2006/015463; PCT/BE2005/000129; IPC: G01N21/00; G01N21/00.