Exploring 20-year applications of geostatistics in precision agriculture in Brazil: what's next?
In the last decades, geostatistics has been widely used for precision agriculture (PA)
producing quite exciting results. Research on this topic is important for sustainable …
producing quite exciting results. Research on this topic is important for sustainable …
[HTML][HTML] Vegetation density and altitude determine the supply of dry Afromontane forest ecosystem services: Evidence from Ethiopia
BW Kassun, AMI Kallio, E Trømborg… - Forest Ecology and …, 2024 - Elsevier
Map** forest ecosystem services (ES) and identifying both natural and anthropogenic
factors influencing their supply and distribution is a key step for sustainable and climate …
factors influencing their supply and distribution is a key step for sustainable and climate …
Space-time map** of soil organic carbon through remote sensing and machine learning
Pedosphere is the largest terrestrial carbon reservoir. Soil organic carbon (SOC) is a critical
attribute for soil quality and crop productivity, being directly linked to climate change …
attribute for soil quality and crop productivity, being directly linked to climate change …
Spatial Correlations of Regional Tropical Cyclone–and Nontropical Cyclone–Induced Severe Rainstorms during 2000–19
Severe rainstorms are one of the most devastating disasters in southeast China (SEC). A
deep and comprehensive understanding of the spatial correlations of severe rainstorms is …
deep and comprehensive understanding of the spatial correlations of severe rainstorms is …
Decision-making systems for controlling L. huidobrensis in tomato crops using principles of precision agriculture
Decision-making systems are key components in integrated pest management (IPM).
Tomato (Solanum lycopersicum) is the second most cultivated vegetable worldwide. The …
Tomato (Solanum lycopersicum) is the second most cultivated vegetable worldwide. The …
A modified radial basis function network integrating Mahalanobis distance and LASSO for soil map**
C Wang, X Li, J Zhang, K Xuan, R Jia, Y Jiang… - Ecological Informatics, 2023 - Elsevier
In recent decades, machine learning (ML) has replaced geostatistics in soil map** to
overcome the lack of regional soil data. The radial basis function network (RBFN) is a …
overcome the lack of regional soil data. The radial basis function network (RBFN) is a …
Spatial Analysis of Soil Available Potassium and Plant Brix Content for Site Specific Nutrient Management in Sugarcane
There has been a tendency of decreasing sugarcane productivity (Saccharum officinarum
Linn) in Indonesia due to poor soil available potassium. There has also been evidence that …
Linn) in Indonesia due to poor soil available potassium. There has also been evidence that …
Comparison Between Iterative Least Square and Nonparametric Epanechnikov Kernel in Semivariogram Modeling, Case study: Urban Land Cover in East Java …
Landcover is an example of spatial data that contains location coordinate information along
with the variables measured at each location, namely height, slope, and curvature. The …
with the variables measured at each location, namely height, slope, and curvature. The …
Spatio-temporal dynamic of soil organic matter in fire affected land using spectroscopy and remote sensing
I Hrelja - 2024 - repozitorij.unizg.hr
Sažetak Wildfires of low intensity and severity are part of the natural dynamics of the
Mediterranean ecosystem. However, the recorded severe wildfires caused by anthropogenic …
Mediterranean ecosystem. However, the recorded severe wildfires caused by anthropogenic …
[PDF][PDF] Spatial Variability of the Organic Matter in the Soil in Cassava Cultivation Under Differentiated Management
LN de Souza, IMS Reis, E Gasparin… - Journal of Agricultural …, 2022 - academia.edu
The management of soil organic matter (SOM) is fundamental in agriculture for soil
conservation and crop yields. However, in addition the soil being dynamics, it is …
conservation and crop yields. However, in addition the soil being dynamics, it is …