[HTML][HTML] Artificial intelligence in agricultural mapping: A review
R Espinel, G Herrera-Franco, JL Rivadeneira García… - Agriculture, 2024 - mdpi.com
Artificial intelligence (AI) plays an essential role in agricultural mapping. It reduces costs and
time and increases efficiency in agricultural management activities, which improves the food …
time and increases efficiency in agricultural management activities, which improves the food …
[HTML][HTML] A comprehensive survey on quantifying non-photosynthetic vegetation cover and biomass from imaging spectroscopy
Non-photosynthetic vegetation (NPV) is considered a key quantifiable variable in the context
of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all …
of new spaceborne imaging spectroscopy missions. Knowledge of NPV is essential for all …
[HTML][HTML] Retrieval of carbon content and biomass from hyperspectral imagery over cultivated areas
Spaceborne imaging spectroscopy is a highly promising data source for all agricultural
management and research disciplines that require spatio-temporal information on crop …
management and research disciplines that require spatio-temporal information on crop …
A review of hybrid approaches for quantitative assessment of crop traits using optical remote sensing: research trends and future directions
A Abdelbaki, T Udelhoven - Remote Sensing, 2022 - mdpi.com
Remote sensing technology allows to provide information about biochemical and
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
biophysical crop traits and monitor their spatiotemporal dynamics of agriculture ecosystems …
An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”
In precision agriculture systems, remote sensing has played an essential role in crop and
environment monitoring, and hyperspectral imaging is a particularly effective tool in this …
environment monitoring, and hyperspectral imaging is a particularly effective tool in this …
Estimating the canopy chlorophyll content of winter wheat under nitrogen deficiency and powdery mildew stress using machine learning
Z Feng, H Guan, T Yang, L He, J Duan, L Song… - … and Electronics in …, 2023 - Elsevier
As an important indicator of the photosynthetic capacity of crops, the canopy chlorophyll
content (CCC) is nondestructively estimated by reflectance using various spectrometers …
content (CCC) is nondestructively estimated by reflectance using various spectrometers …
Assessment of maize nitrogen uptake from PRISMA hyperspectral data through hybrid modelling
M Ranghetti, M Boschetti, L Ranghetti… - European journal of …, 2023 - Taylor & Francis
The spaceborne imaging spectroscopy mission PRecursore IperSpettrale della Missione
Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new …
Applicativa (PRISMA), launched on 22 March 2019 by the Italian Space Agency, opens new …
Optimizing the Retrieval of Wheat Crop Traits from UAV-Borne Hyperspectral Image with Radiative Transfer Modelling Using Gaussian Process Regression
The advent of high-spatial-resolution hyperspectral imagery from unmanned aerial vehicles
(UAVs) made a breakthrough in the detailed retrieval of crop traits for precision crop-growth …
(UAVs) made a breakthrough in the detailed retrieval of crop traits for precision crop-growth …
[HTML][HTML] Quantifying irrigated winter wheat LAI in Argentina using multiple sentinel-1 incidence angles
Synthetic aperture radar (SAR) data provides an appealing opportunity for all-weather day
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …
or night Earth surface monitoring. The European constellation Sentinel-1 (S1) consisting of …
Gaussian Process Regression Hybrid Models for the Top-of-Atmosphere Retrieval of Vegetation Traits Applied to PRISMA and EnMAP Imagery
The continuous monitoring of the terrestrial Earth system by a growing number of optical
satellite missions provides valuable insights into vegetation and cropland characteristics …
satellite missions provides valuable insights into vegetation and cropland characteristics …