Intelligent Monitoring and Trend Analysis of Surface Soil Organic Carbon in the Black Soil Region Using Multi-Satellite and Field Sampling: A Case Study from Northeast China. [PDF]
Sensors (Basel)Chen C, Dai H, Liu K, Tang Y.
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Machine learning-based mapping of Acidobacteriota and Planctomycetota using 16 S rRNA gene metabarcoding data across soils in Russia. [PDF]
Sci RepIvanova EA +4 more
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Predicting surface soil pH spatial distribution based on three machine learning methods: a case study of Heilongjiang Province. [PDF]
Environ Monit AssessHuang P, Huang Q, Wang J, Shi Y.
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Root-yield performance of pre-release sweet potato genotypes in Kenya. [PDF]
, 2015 Mcharo, M., Ndolo, P.
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Prediction of spatiotemporal evolution and zoning of ecological sensitivity in the upper reaches of Minjiang river, sichuan, China. [PDF]
Sci RepJu L, Liu Y, Liu S, Xiang Q, Hu W, Yu P.
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Evaluation des risques liés au transfert des polluants à travers les sols et vers les nappes : Rapport final à la convention de recherche entre le ministère de l'Outre-mer et le Cirad [PDF]
, 2008 Bourgeon, Gérard +2 more
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A Vanishing Imprint? Modeling the Present and Future Distribution of the Enigmatic <i>Quercus crenata</i> Lam., a Mediterranean Sporadic Tree Species. [PDF]
Ecol EvolAntonelli G +5 more
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Comparative Evaluation of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and X-Ray Fluorescence (XRF) Analysis Techniques for Screening Potentially Toxic Elements in Soil. [PDF]
ToxicsGuagliardi I, Ricca N, Cicchella D.
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Land Use Shapes the Rhizosphere Microbiome and Metabolome of Naturally Growing <i>Barbarea vulgaris</i>. [PDF]
MetabolitesKovacs ED, Kovacs MH.
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