H
Hamouda Aichi
Researcher at Carthage University
Publications - 12
Citations - 554
Hamouda Aichi is an academic researcher from Carthage University. The author has contributed to research in topics: Environmental science & Context (language use). The author has an hindex of 2, co-authored 9 publications receiving 369 citations.
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Journal ArticleDOI
A global spectral library to characterize the world’s soil
R. A. Viscarra Rossel,Thorsten Behrens,Eyal Ben-Dor,David J. Brown,José Alexandre Melo Demattê,Keith D. Shepherd,Zhou Shi,Bo Stenberg,Antoine Stevens,Viacheslav I. Adamchuk,Hamouda Aichi,Bernard Barthès,Harm Bartholomeus,Anita D. Bayer,Martial Bernoux,Kristin Böttcher,L. Brodský,Changwen Du,Adrian Chappell,Youssef Fouad,Valérie Genot,Cécile Gomez,Sabine Grunwald,Andreas Gubler,César Guerrero,Carolyn Hedley,Maria Knadel,H.J.M. Morrás,Marco Nocita,Leonardo Ramirez-Lopez,Pierre Roudier,E.M. Rufasto Campos,P. Sanborn,V.M. Sellitto,Kenneth A. Sudduth,Barry G. Rawlins,Christian Walter,Leigh A. Winowiecki,Suk Young Hong,Wenjun Ji,Wenjun Ji,Wenjun Ji +41 more
TL;DR: In this article, the authors developed and analyzed a global soil visible-near infrared (vis-NIR) spectral library, which is currently the largest and most diverse database of its kind, and showed that the information encoded in the spectra can describe soil composition and be associated to land cover and its global geographic distribution, which acts as a surrogate for global climate variability.
Journal Article
Phenolic contentand allelopathic potential of leavesand rhizosphere soilaqueous extracts of white horehound ( Maribum vulgare L.)
TL;DR: Both leaf aqueous extracts and soil of tested species could be used as natural herbicides and the inhibition caused by the leaf and soil extracts was found to be more than shoot length.
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Monitoring: Physic‐Chemical, Microbiological, and Phytotoxic Parameters of Mixed Oil Mill Waste and Green Waste Composts Moistened with Treated Urban Wastewater and Tap Water
TL;DR: In this article, onsite co-composting of oil mill waste would overcome environmental issues and valorize renewable resources, and the physicchemical and microbiological properties of the cocomposted waste were determined.
Journal ArticleDOI
Evaluating the Potentials of PLSR and SVR Models for Soil Properties Prediction Using Field Imaging, Laboratory VNIR Spectroscopy and Their Combination
Emna Karray,Hela Elmannai,Elyes Toumi,Mohamed Hedi Gharbia,Souham Meshoul,Hamouda Aichi,Zouhaier Ben Rabah +6 more
TL;DR: In this paper , the authors used Partial Least Squares Regression and Support Vector Regression (SVR) for the prediction of several soil properties, including clay, sand, silt, organic matter, nitrate NO3-, and calcium carbonate CaCO3, using five VNIR spectra dataset combinations.
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Soil total carbon mapping, in Djerid Arid area, using ASTER multispectral remote sensing data combined with laboratory spectral proximal sensing data
TL;DR: In this paper, the authors used partial least squares regression-kriging model, based on the 144 spectra extracted from the nine visible-near infrared ASTER bands, for soil attribute mapping on large scale.