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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 …
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 …
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
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 …
(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 …
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 …
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
Monitoring the soil organic carbon (SOC) dynamics through temporal environmental
controlling covariates could indicate the soil and environment quality status. In this study, we …
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 …
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 …
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 …
thoughtful selection of explanatory variables and sample size, as their choice greatly …