Climate-Smart Agriculture (CSA) aims to enhance the productivity, resilience, and sustainability of farming systems in the face of climate variability and ...

The paper offers up 13 areas where machine learning can be deployed, including energy production, CO 2 removal, education, solar geoengineering, and finance.Within these fields, the possibilities ...

SHAP analysis identified pre-PAE IPSS, prior therapy, right embolization volume, preoperative quality of life, and age as the top five most influential features. Conclusions: Our model showed ...

Soil moisture is one of the important parameters in Earth system models. In recent years, the retrieval based on machine learning and data fusion of multisource satellite observation data has become ...

As soil databases expand, these predictive tools could evolve into real-time advisory systems—enhancing sustainable land management while protecting public health through safer food production.

Metal nanoparticles (MNPs) offer great potential to enable precision and sustainable agriculture. However, a comprehensive understanding of the interactions between multiple MNPs and soil properties, ...