A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops

N Amarasingam, ASA Salgadoe, K Powell… - Remote Sensing …, 2022 - Elsevier
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …

[HTML][HTML] Predicting canopy chlorophyll content in sugarcane crops using machine learning algorithms and spectral vegetation indices derived from UAV multispectral …

A Narmilan, F Gonzalez, ASA Salgadoe… - Remote Sensing, 2022 - mdpi.com
The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …

[HTML][HTML] Detection of white leaf disease in sugarcane using machine learning techniques over UAV multispectral images

A Narmilan, F Gonzalez, ASA Salgadoe, K Powell - Drones, 2022 - mdpi.com
Sugarcane white leaf phytoplasma (white leaf disease) in sugarcane crops is caused by a
phytoplasma transmitted by leafhopper vectors. White leaf disease (WLD) occurs …

[HTML][HTML] Mapping seasonal leaf nutrients of mangrove with sentinel-2 images and XGBoost method

J Miao, J Zhen, J Wang, D Zhao, X Jiang, Z Shen… - Remote Sensing, 2022 - mdpi.com
Monitoring the seasonal leaf nutrients of mangrove forests helps one to understand the
dynamics of carbon (C) sequestration and to diagnose the availability and limitation of …

[HTML][HTML] Autonomous detection of mouse-ear hawkweed using drones, multispectral imagery and supervised machine learning

N Amarasingam, M Hamilton, JE Kelly, L Zheng… - Remote Sensing, 2023 - mdpi.com
Hawkweeds (Pilosella spp.) have become a severe and rapidly invading weed in pasture
lands and forest meadows of New Zealand. Detection of hawkweed infestations is essential …

[HTML][HTML] Estimating aboveground biomass of two different forest types in myanmar from sentinel-2 data with machine learning and geostatistical algorithms

P Wai, H Su, M Li - Remote Sensing, 2022 - mdpi.com
The accurate estimation of spatially explicit forest aboveground biomass (AGB) provides an
essential basis for sustainable forest management and carbon sequestration accounting …

[HTML][HTML] Comparative analysis of remote sensing and geo-statistical techniques to quantify forest biomass

N Ahmad, S Ullah, N Zhao, F Mumtaz, A Ali, A Ali… - Forests, 2023 - mdpi.com
Accurately characterizing carbon stock is vital for reporting carbon emissions from forest
ecosystems. We studied the estimation of biomass using Sentinel-2 remote sensing data in …

[HTML][HTML] CPR Algorithm—A new interpolation methodology and QGIS plugin for Colour Pattern Regression between aerial images and raster maps

P Blanco-Gómez, C Amurrio-Garcia… - SoftwareX, 2023 - Elsevier
Abstract The Colour Pattern Regression (CPR) algorithm complement for QGIS is presented
for determining and quantifying the relationship between aerial images and raster maps …

[HTML][HTML] The role of remote sensing in tropical grassland nutrient estimation: a review

AM Arogoundade, O Mutanga, J Odindi… - Environmental Monitoring …, 2023 - Springer
The carbon (C) and nitrogen (N) ratio is a key indicator of nutrient utilization and limitations
in rangelands. To understand the distribution of herbivores and grazing patterns, information …

[HTML][HTML] Use of remotely sensed data to enhance estimation of aboveground biomass for the dry Afromontane forest in South-Central Ethiopia

H Taddese, Z Asrat, I Burud, T Gobakken, HO Ørka… - Remote Sensing, 2020 - mdpi.com
Periodic assessment of forest aboveground biomass (AGB) is essential to regulate the
impacts of the changing climate. However, AGB estimation using field-based sample survey …