Machine Learning Leads Soil Mapping Race, but No Single Model Wins Everywhere
A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian Maximum Entropy each excel under ...
A first-of-its-kind systematic review of 190 studies finds that HASM, Euclidean-enhanced machine learning, and Bayesian Maximum Entropy each excel under ...
A landmark survey of 954 soil samples across Punjab and Chandigarh reveals that landscape-scale pedogenic heterogeneity and soil depth, not ...
New research shows that the invasive weed Parthenium hysterophorus enriches its rhizosphere with available nutrients and selectively recruits fungal partners, ...
A study in China's Yuanjiang Dry-Hot Valley finds that soil nematode abundance rises with elevation and moisture, while nutrient chemistry ...
Researchers compressed transformer-based tabular neural networks by up to 38-fold using knowledge distillation and deployed them on an NVIDIA Jetson ...
A field study in Ukraine shows that fertilizer made from sunflower husk ash, a by-product of biomass energy production, raised ...
A three-year Kentucky field trial shows pine sawdust biochar left a fertile silt loam largely unchanged, raising only labile carbon ...
A metagenomic study of Chinese forest soils finds that removing leaf litter changes soil nutrients but leaves antibiotic resistance genes ...
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© 2025 Scienmag - Science Magazine