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[HTML][HTML] Remote sensing of soil degradation: Progress and perspective
Soils constitute one of the most critical natural resources and maintaining their health is vital
for agricultural development and ecological sustainability, providing many essential …
for agricultural development and ecological sustainability, providing many essential …
Soil inorganic carbon, the other and equally important soil carbon pool: distribution, controlling factors, and the impact of climate change
Soil inorganic carbon (SIC) contributes to up to half of the terrestrial C stock and is especially
significant in arid and semi-arid environments, yet has not been explored as much as soil …
significant in arid and semi-arid environments, yet has not been explored as much as soil …
A mobile-based system for maize plant leaf disease detection and classification using deep learning
Artificial Intelligence has been used for many applications such as medical, communication,
object detection, and object tracking. Maize crop, which is the major crop in the world, is …
object detection, and object tracking. Maize crop, which is the major crop in the world, is …
Digital map** of soil pH and carbonates at the European scale using environmental variables and machine learning
Q Lu, S Tian, L Wei - Science of the Total Environment, 2023 - Elsevier
Soil pH and carbonates (CaCO 3) are important indicators of soil chemistry and fertility, and
the prediction of their spatial distribution is critical for the agronomic and environmental …
the prediction of their spatial distribution is critical for the agronomic and environmental …
[HTML][HTML] Exploring the capability of Gaofen-5 hyperspectral data for assessing soil salinity risks
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents
Using machine learning and earth observation data to capture real-world variability in
spatial predictive map** depends on sample size, design, and spatial extent …
spatial predictive map** depends on sample size, design, and spatial extent …
[HTML][HTML] Improving model parsimony and accuracy by modified greedy feature selection in digital soil map**
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 …
urgently needed to support decision-making for sustaining limited soil resources. Digital soil …
[HTML][HTML] The role of remote sensing data and methods in a modern approach to fertilization in precision agriculture
The precision fertilization system is the basis for upgrading conventional intensive
agricultural production, while achieving both high and quality yields and minimizing the …
agricultural production, while achieving both high and quality yields and minimizing the …