Emerging developments in two-dimensional correlation spectroscopy (2D-COS)
Noteworthy new progress in 2D correlation spectroscopy (2D-COS) and its versatile
applications for the last two years are compiled in this comprehensive survey review. We …
applications for the last two years are compiled in this comprehensive survey review. We …
[HTML][HTML] Soil organic carbon and texture retrieving and mapping using proximal, airborne and Sentinel-2 spectral imaging
Abstract Soil Organic Carbon (SOC) is a useful representative of soil fertility and an essential
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
A novel intelligence approach based active and ensemble learning for agricultural soil organic carbon prediction using multispectral and SAR data fusion
Monitoring agricultural soil organic carbon (SOC) has played an essential role in
sustainable agricultural management. Precise and robust prediction of SOC greatly …
sustainable agricultural management. Precise and robust prediction of SOC greatly …
[HTML][HTML] Combining UAV-based hyperspectral imagery and machine learning algorithms for soil moisture content monitoring
Soil moisture content (SMC) is an important factor that affects agricultural development in
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
arid regions. Compared with the space-borne remote sensing system, the unmanned aerial …
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 …
Estimates of rice lodging using indices derived from UAV visible and thermal infrared images
Rice lodging not only causes difficulty in harvest operations, but also drastically reduces
yield. Rice lodging assessment contributes greatly to rice plantation and crop field …
yield. Rice lodging assessment contributes greatly to rice plantation and crop field …
Soil organic carbon prediction using phenological parameters and remote sensing variables generated from Sentinel-2 images
It is important to predict the spatial distribution of SOC accurately for migrating carbon
emission and sustainable soil management. Environmental variables influence the accuracy …
emission and sustainable soil management. Environmental variables influence the accuracy …
Estimating agricultural soil moisture content through UAV-based hyperspectral images in the arid region
Unmanned aerial vehicle (UAV)-based hyperspectral remote sensing is an important
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
monitoring technology for the soil moisture content (SMC) of agroecological systems in arid …
A low-cost approach for soil moisture prediction using multi-sensor data and machine learning algorithm
A high-resolution soil moisture prediction method has recently gained its importance in
various fields such as forestry, agricultural and land management. However, accurate …
various fields such as forestry, agricultural and land management. However, accurate …
Prediction of soil organic matter in northwestern China using fractional-order derivative spectroscopy and modified normalized difference indices
Abstract Visible-near-infrared (Vis-NIR) spectroscopy makes it possible to estimate soil
organic matter content (SOMC). Spectral pretreatment techniques have important …
organic matter content (SOMC). Spectral pretreatment techniques have important …