Machine learning-based approaches to enhance the soil fertility—A review

M Sujatha, CD Jaidhar - Expert Systems with Applications, 2023 - Elsevier
Agriculture plays an imperative role in many countries' economies and is a substantive
source of survival. The variation in a soil nutrient decreases crop yield. An accurate soil …

[HTML][HTML] Improving model parsimony and accuracy by modified greedy feature selection in digital soil mapping

X Zhang, S Chen, J Xue, N Wang, Y Xiao, Q Chen… - Geoderma, 2023 - Elsevier
In the context of increasing soil degradation worldwide, spatially explicit soil information is
urgently needed to support decision-making for sustaining limited soil resources. Digital soil …

[HTML][HTML] Comparison of Machine Learning Methods for Predicting Soil Total Nitrogen Content Using Landsat-8, Sentinel-1, and Sentinel-2 Images

Q Zhang, M Liu, Y Zhang, D Mao, F Li, F Wu, J Song… - Remote Sensing, 2023 - mdpi.com
Soil total nitrogen (STN) is a crucial component of the ecosystem's nitrogen pool, and
accurate prediction of STN content is essential for understanding global nitrogen cycling …

[HTML][HTML] The effects of landscape change on habitat quality in arid desert areas based on future scenarios: Tarim River Basin as a case study

T Zhang, Y Chen - Frontiers in Plant Science, 2022 - frontiersin.org
Human activities have caused spatiotemporal patterns of land use and land cover (LULC)
change. The LULC change has directly affected habitat quality (HQ) and ecosystem …

[HTML][HTML] Spatial prediction of total nitrogen in soil surface layer based on machine learning

Z Liu, H Lei, L Lei, H Sheng - Sustainability, 2022 - mdpi.com
In order to satisfy the basic requirements of sustainable agricultural development, it is
important to understand the spatial distribution characteristics of soil total nitrogen (TN) …

Analysis of soil organic matter influencing factors in the Huangshui River Basin by using the optimal parameter-based geographical detector model

Z Liu, H Lei, H Sheng, Y Wang - Geocarto International, 2023 - Taylor & Francis
To quantitatively analyze the spatial distribution of soil organic matter (SOM) content and its
main influencing factors in the Huangshui River Basin, Qinghai Province, China, a total of 13 …

[HTML][HTML] Continental-scale mapping of soil pH with SAR-optical fusion based on long-term earth observation data in google earth engine

Y Geng, T Zhou, Z Zhang, B Cui, J Sun, L Zeng… - Ecological …, 2024 - Elsevier
The advent of cloud computing platforms (eg, Google Earth Engine (GEE)) and the massive
amounts of optical and radar Earth Observation (EO) data hosted by these platforms present …

Retrieval of soil salinity based on multi-source remote sensing data and differential transformation technology

F Zhang, X Li, X Zhou, NW Chan, ML Tan… - … Journal of Remote …, 2023 - Taylor & Francis
Rapid and accurate assessments of soil salinity information surrounding saline lakes are
crucial for agricultural development and ecological security in arid regions. The Support …

Rapid assessment of elemental concentrations using pXRF and remote sensing on a dried lakebed

G Gozukara, O Dengiz, F Shahbazi, H Senol… - Journal of Arid …, 2023 - Elsevier
This study aimed to i) explore the land-use effect (former lakebed, pasture, and agricultural
areas) on elemental concentrations, enrichment factors (EF s), and geo-accumulation …

Spatial Drivers of Soil Health in a Post-Fire Watershed

RJD Williams - 2024 - digitalcommons.calpoly.edu
Wildland fires are increasing in both severity and intensity leading to severe and lasting
biogeochemical effects on soil. The CZU lightning complex started on August 16 th, 2020 …