A critical systematic review on spectral-based soil nutrient prediction using machine learning
Abstract The United Nations (UN) emphasizes the pivotal role of sustainable agriculture in
addressing persistent starvation and working towards zero hunger by 2030 through global …
addressing persistent starvation and working towards zero hunger by 2030 through global …
Application of fractional-order derivative in the quantitative estimation of soil organic matter content through visible and near-infrared spectroscopy
The spectral preprocessing method has become an integral component of soil analysis
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
through visible and near-infrared (Vis-NIR) spectroscopy. Various spectral pretreatment …
A comprehensive review of soil organic carbon estimates: Integrating remote sensing and machine learning technologies
T Li, L Cui, M Kuhnert, TI McLaren, R Pandey… - Journal of Soils and …, 2024 - Springer
Purpose Accurately assessing soil organic carbon (SOC) content is vital for ecosystem
services management and addressing global climate challenges. This study undertakes a …
services management and addressing global climate challenges. This study undertakes a …
Combination of fractional order derivative and memory-based learning algorithm to improve the estimation accuracy of soil organic matter by visible and near-infrared …
Visible and near-infrared (Vis–NIR) spectroscopy is used to estimate soil organic matter
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
(SOM). Spectral preprocessing techniques and multivariate modeling methods play …
Combining fractional order derivative and spectral variable selection for organic matter estimation of homogeneous soil samples by VIS–NIR spectroscopy
Visible and near-infrared (VIS–NIR) spectroscopy has been extensively applied to estimate
soil organic matter (SOM) in the laboratory. However, if field/moist VIS–NIR spectra can be …
soil organic matter (SOM) in the laboratory. However, if field/moist VIS–NIR spectra can be …
Long-term effects of inorganic fertilizer and farmyard manure application on productivity, sustainability and profitability of rice-wheat system in Mollisols
DK Singh, PC Pandey, G Nanda… - Archives of Agronomy and …, 2019 - Taylor & Francis
In this investigation, productivity, sustainability and profitability of rice-wheat system were
evaluated using the data of a long-term fertility experiment initiated during 1984 at …
evaluated using the data of a long-term fertility experiment initiated during 1984 at …
[图书][B] Sustainability: Fundamentals and applications
A comprehensive resource to sustainability and its application to the environmental,
industrial, agricultural and food security sectors Sustainability fills a gap in the literature in …
industrial, agricultural and food security sectors Sustainability fills a gap in the literature in …
Estimating soil organic carbon of sown biodiverse permanent pastures in Portugal using near infrared spectral data and artificial neural networks
Grasslands in Portugal are key managed ecosystems, supporting and providing a diverse
number of ecosystem services. Here, we developed a procedure for rapid estimation of soil …
number of ecosystem services. Here, we developed a procedure for rapid estimation of soil …
Visible-near infrared reflectance spectroscopy for rapid characterization of salt-affected soil in the Indo-Gangetic Plains of Haryana, India
Management of salt-affected soils is a challenging task in the input intensive rice-wheat
cropping zone of the Indo-Gangetic plains (IGP). Timely detection of salt-affected areas and …
cropping zone of the Indo-Gangetic plains (IGP). Timely detection of salt-affected areas and …
Carbon dynamics in salt-affected soils
Salinity and sodicity are major constraints for crop production in arid and semiarid regions of
the world. Soil fertility and atmospheric carbon dioxide (CO 2) concentrations are strongly …
the world. Soil fertility and atmospheric carbon dioxide (CO 2) concentrations are strongly …