Uncertainty in soil physical data at river basin scale
International audienceFor hydrological modelling studies at the river basin scale, decision makers need guidance in assessing the implications of uncertain data used by modellers as an input to modelling tools.
Iversen, B. V., van Der Keur, P.
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How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
wiley +1 more source
Influences of azolla-derived biofertilizer and compost on soil chemical properties and rice growth in contaminated soil. [PDF]
El-Beshbeshy TR +5 more
europepmc +1 more source
Impacts of continuous and rotational cropping practices on soil chemical properties and microbial communities during peanut cultivation. [PDF]
Li H +8 more
europepmc +1 more source
Abstract Filamentous microorganisms exhibit complex morphologies that influence product formation and are affected by various bioprocess parameters. Consistent morphology is therefore essential for comparable results during scale‐up. This study investigates the scale‐up of Streptomyces species (Streptomyces spp.) cultivations from shake flasks to ...
Gesa Brauneck +12 more
wiley +1 more source
Combined effect of biochar, manure and compost on canola growth, yield parameters and soil chemical properties. [PDF]
Hassan M, Strezov V.
europepmc +1 more source
Seven years of pig slurry fertilization: impacts on soil chemical properties and the element content of winter barley plants. [PDF]
Shakoor A +3 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Recent Trends in Metabolomics by NMR Spectroscopy
AI tools were applied to analyze more than 5 000 publications indexed in Scopus (2018–2025), identifying key trends and research directions in NMR‐based metabolomics. The artificial intelligence‐assisted workflow classified papers into six main fields of application, human health, food and nutrition, veterinary science, plants, environment, and ...
Giorgio Di Paco +6 more
wiley +2 more sources
Evaluation of standard, black-box, and bayesian RSM-SVR models in the semi-arid area of south-eastern Iran for predicting soil chemical properties. [PDF]
Ahangar AG, Piri J.
europepmc +1 more source

