[HTML][HTML] Errors and recommended practices that should be identified to reduce suspected concentrations of microplastics in soil and groundwater: a review
Over the last decade, many studies on microplastics (MPs) have only focused on the marine
environment, and scientist have recently begun to document soil and groundwater MP …
environment, and scientist have recently begun to document soil and groundwater MP …
Earth observation data-driven cropland soil monitoring: A review
We conducted a systematic review and inventory of recent research achievements related to
spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil …
spaceborne and aerial Earth Observation (EO) data-driven monitoring in support of soil …
Digital exploration of selected heavy metals using Random Forest and a set of environmental covariates at the watershed scale
The current study was established for predicting some selected heavy metals (HMs)
including Zn, Mn, Fe, Co, Cr, Ni, and Cu, by applying random forest (RF) and a set of …
including Zn, Mn, Fe, Co, Cr, Ni, and Cu, by applying random forest (RF) and a set of …
Assessing machine learning-based prediction under different agricultural practices for digital map** of soil organic carbon and available phosphorus
Predicting soil chemical properties such as soil organic carbon (SOC) and available
phosphorus (Ava-P) content is critical in areas where different land uses exist. The …
phosphorus (Ava-P) content is critical in areas where different land uses exist. The …
Modelling and prediction of major soil chemical properties with Random Forest: Machine learning as tool to understand soil-environment relationships in Antarctica
RG Siqueira, CM Moquedace, EI Fernandes-Filho… - Catena, 2024 - Elsevier
Abstract Digital Soil Map** includes quantitative estimations of soil attributes in areas with
little or no soil information, being important in remote landscapes such as the Antarctic ice …
little or no soil information, being important in remote landscapes such as the Antarctic ice …
Digital map** of soil texture classes for efficient land management in the Piedmont plain of Iran
Accurate prediction of digital soil maps allows for the evaluation of larger areas with respect
to the design of efficient land management plans at the regional scale. Nowadays, there is …
to the design of efficient land management plans at the regional scale. Nowadays, there is …
Digital map** for soil texture class prediction in northwestern Türkiye by different machine learning algorithms
Soil texture classes (STCs) influence the physical, chemical and biological properties of the
soil, and accurate spatial predictions of STCs are essential for agro-ecological modeling …
soil, and accurate spatial predictions of STCs are essential for agro-ecological modeling …
Estimating soil chemical properties by diffuse reflectance spectroscopy: Promise versus reality
MB McBride - European Journal of Soil Science, 2022 - Wiley Online Library
Diffuse reflectance spectroscopy in the visible and near‐infrared (VNIR) spectral range has
increasingly been utilised in recent years to measure soil properties, including organic …
increasingly been utilised in recent years to measure soil properties, including organic …
[HTML][HTML] Soil map**, digital soil map** and soil monitoring over large areas and the dimensions of soil security–A review
Soil Security includes dimensions, soil capability, soil condition, soil capital, soil connectivity
and soil codification (the “five C's”). This article provides a short review on how soil map** …
and soil codification (the “five C's”). This article provides a short review on how soil map** …
Predictive map** of electrical conductivity and assessment of soil salinity in a Western Türkiye alluvial plain
The increase in soil salinity due to human-induced processes poses a severe threat to
agriculture on a regional and global scale. Soil salinization caused by natural and …
agriculture on a regional and global scale. Soil salinization caused by natural and …