Classification of airborne multispectral imagery to quantify common vole impacts on an agricultural field
Sign Up to like & getrecommendations! Published in 2022 at "Pest Management Science"
DOI: 10.1002/ps.6857
Abstract: Abstract BACKGROUND The common vole (Microtus arvalis) is a very destructive agricultural pest. Particularly in Europe, its monitoring is essential not only for adequate management and outbreak forecasting, but also for accurately determining the vole's… read more here.
Keywords: classification; multispectral imagery; pest management; common vole ... See more keywords
UAV-based multispectral imagery for fast Citrus Greening detection
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Plant Diseases and Protection"
DOI: 10.1007/s41348-019-00234-8
Abstract: Considering the variation in spectral response of plants due to unhealthiness effects, this study utilizes multispectral imaging to detect Greening disease of citrus trees. Low altitude multispectral images acquired in five discrete bands of R,… read more here.
Keywords: multispectral imagery; imagery; detection; uav based ... See more keywords
A deep 2D/3D Feature-Level fusion for classification of UAV multispectral imagery in urban areas
Sign Up to like & getrecommendations! Published in 2021 at "Geocarto International"
DOI: 10.1080/10106049.2021.1959655
Abstract: In this paper, a deep convolutional neural network (CNN) is developed to classify the Unmanned Aerial Vehicle (UAV) derived multispectral imagery and normalized digital surface model (DSM) data in ... read more here.
Keywords: multispectral imagery; imagery; level fusion; feature level ... See more keywords
High-accuracy detection of malaria vector larval habitats using drone-based multispectral imagery
Sign Up to like & getrecommendations! Published in 2019 at "PLoS Neglected Tropical Diseases"
DOI: 10.1371/journal.pntd.0007105
Abstract: Interest in larval source management (LSM) as an adjunct intervention to control and eliminate malaria transmission has recently increased mainly because long-lasting insecticidal nets (LLINs) and indoor residual spray (IRS) are ineffective against exophagic and… read more here.
Keywords: multispectral imagery; imagery; malaria vector; larval ... See more keywords
Semi-automated detection of looting in Afghanistan using multispectral imagery and principal component analysis
Sign Up to like & getrecommendations! Published in 2017 at "Antiquity"
DOI: 10.15184/aqy.2017.90
Abstract: Abstract High-resolution satellite imagery has proved to be a powerful tool for calculating the extent of looting at heritage sites in conflict zones around the world. Monitoring damage over time, however, has been largely dependent… read more here.
Keywords: multispectral imagery; automated detection; imagery; principal component ... See more keywords
Impact Assessment of Nematode Infestation on Soybean Crop Production Using Aerial Multispectral Imagery and Machine Learning
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135482
Abstract: Accurate and prompt estimation of geospatial soybean yield (SY) is critical for the producers to determine key factors influencing crop growth for improved precision management decisions. This study aims to quantify the impacts of soybean… read more here.
Keywords: infestation soybean; multispectral imagery; machine learning; crop ... See more keywords
Estimating Maize Leaf Area Index Using Multi-Source Features Derived from UAV Multispectral Imagery and Machine Learning Models
Sign Up to like & getrecommendations! Published in 2025 at "Plants"
DOI: 10.3390/plants14223534
Abstract: Leaf area index (LAI) is a critical indicator of canopy architecture and physiological performance, serving as a key parameter for crop growth monitoring and management. Although UAV multispectral imagery provides rich spectral and spatial information,… read more here.
Keywords: texture; multispectral imagery; machine; source ... See more keywords