Micro-nano bubble water with potassium fertigation improves strawberry yield and quality by changing soil bacterial community

J Wang, Q He, K Cao, B Zhou, X Niu, D Wang, R Chen… - Rhizosphere, 2023 - Elsevier
Aerated drip irrigation can increase the soil oxygen content and improve the utilization
efficiency of fertilizer. However, limited information is available on how soluble potassium …

National-scale digital soil map** performances are related to covariates and sampling density: Lessons from France

A Suleymanov, AC Richer-de-Forges, NPA Saby… - Geoderma …, 2024 - Elsevier
Accurate soil property and class predictions through spatial modelling necessitate a
thoughtful selection of explanatory variables and sample size, as their choice greatly …

[HTML][HTML] Digital soil map** for soil types using machine learning approaches at the landscape scale in the arid regions of Iran

S Manteghi, K Moravej, SR Mousavi… - Advances in Space …, 2024 - Elsevier
The aims of this research are (i) to compare random forest (RF), boosted regression tree
(BRT), and multinomial logistic regression (MnLR) models to prepare the prediction maps of …

The older, the better: a comprehensive survey of soil organic carbon under commercial oil palm plantations

K Golicz, SC Cheak, S Jacobs… - Environmental …, 2024 - Springer
Soil conditions of croplands are a frequent topic of scientific research. In contrast, less is
known about large-scale commercial plantations of perennial crops such as oil palm. Oil …

[HTML][HTML] High-accuracy map** of soil parent material types in hilly areas at the county scale using machine learning algorithms

X Zeng, X Guo, Y Jiang, W Li, J Guo, Q Zhou, H Zou - Remote Sensing, 2023 - mdpi.com
Conventional maps of soil parent material (SPM) types obtained by field survey and manual
map** or predictions from other map data have limited accuracy. Digital soil map** of …

Monitoring changes in soil organic carbon using satellite-based variables and machine learning algorithms in arid and semi-arid regions

M Hosseinpour-Zarnaq, F Moshiri, M Jamshidi… - Environmental Earth …, 2024 - Springer
Monitoring the soil organic carbon (SOC) dynamics through temporal environmental
controlling covariates could indicate the soil and environment quality status. In this study, we …

第四纪地质学视角下地表基质调查进展与思考

杨劲松, 陈彭, 杨柯, 陈阳阳, **俊华, 陈洪云, 董秋瑶… - 华东地质, 2024 - hddz.cgsnjzx.cn
地表基质调查是自然资源综合调查的全新业务领域, 对生态文明建设和区域经济高质量发展具有
重要意义. 文章结合国内外基础地质调查和土壤调查等领域的研究动态, 梳理了地表基质的概念 …

Enhancing the accuracy of digital soil map** using the surface and subsurface soil characteristics as continuous diagnostic layers

M Osat, A Heidari, S Fatehi - Environmental Monitoring and Assessment, 2024 - Springer
Digital soil map** relies on relating soils to a particular set of covariates, which capture
inherent soil spatial variation. In digital map** of soil classes, the most commonly used …

[PDF][PDF] Geoderma Regional

A Suleymanov, AC Richer-de-Forges, NPA Saby… - researchgate.net
Accurate soil property and class predictions through spatial modelling necessitate a
thoughtful selection of explanatory variables and sample size, as their choice greatly …