AgricultureCommunications Biology
Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning
Y. Mo, R. Bier, et al.
This groundbreaking study by Yujie Mo, Raven Bier, Xiaolin Li, Melinda Daniels, Andrew Smith, Lei Yu, and Jinjun Kan unveils the powerful role of agricultural practices in shaping soil microbes vital for healthy ecosystems. Utilizing machine learning, it reveals how fertility sources and tillage influence microbial communities at various depths, providing innovative insights into sustainable agriculture.
Related Publications
Explore these studies to deepen your understanding
Adjacent work that informs or extends this paper's methodology and findings.
Chemistry
Estimating pitting descriptors of 316 L stainless steel by machine learning and statistical analysis
L. B. Coelho, D. Torres, et al.
Medicine and Health
Heatstroke predictions by machine learning, weather information, and an all-population registry for 12-hour heatstroke alerts
S. Ogata, M. Takegami, et al.
Health and Fitness
Machine learning modeling practices to support the principles of AI and ethics in nutrition research
D. M. Thomas, S. Kleinberg, et al.
Chemistry
SEMORE: SEgmentation and MORphological fingErprinting by machine learning automates super-resolution data analysis
S. W. B. Bender, M. W. Dreisler, et al.
