Unmanned aerial vehicle remote sensing for field-based crop phenotyping: current status and perspectives

G Yang, J Liu, C Zhao, Z Li, Y Huang, H Yu… - Frontiers in plant …, 2017 - frontiersin.org
Phenotyping plays an important role in crop science research; the accurate and rapid
acquisition of phenotypic information of plants or cells in different environments is helpful for …

Challenges and future perspectives of multi-/Hyperspectral thermal infrared remote sensing for crop water-stress detection: A review

M Gerhards, M Schlerf, K Mallick, T Udelhoven - Remote Sensing, 2019 - mdpi.com
Thermal infrared (TIR) multi-/hyperspectral and sun-induced fluorescence (SIF) approaches
together with classic solar-reflective (visible, near-, and shortwave infrared reflectance …

Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data

H Qin, W Zhou, Y Yao, W Wang - Remote Sensing of Environment, 2022 - Elsevier
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …

Early detection of plant viral disease using hyperspectral imaging and deep learning

C Nguyen, V Sagan, M Maimaitiyiming… - Sensors, 2021 - mdpi.com
Early detection of grapevine viral diseases is critical for early interventions in order to
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …

A comprehensive review of remote sensing platforms, sensors, and applications in nut crops

H Jafarbiglu, A Pourreza - Computers and Electronics in Agriculture, 2022 - Elsevier
Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …

Detection of target spot and bacterial spot diseases in tomato using UAV-based and benchtop-based hyperspectral imaging techniques

J Abdulridha, Y Ampatzidis, SC Kakarla, P Roberts - Precision Agriculture, 2020 - Springer
Early and accurate diagnosis is a critical first step in mitigating losses caused by plant
diseases. An incorrect diagnosis can lead to improper management decisions, such as …

UAV-based remote sensing technique to detect citrus canker disease utilizing hyperspectral imaging and machine learning

J Abdulridha, O Batuman, Y Ampatzidis - Remote Sensing, 2019 - mdpi.com
A remote sensing technique was developed to detect citrus canker in laboratory conditions
and was verified in the grove by utilizing an unmanned aerial vehicle (UAV). In the …

[图书][B] The normalized difference vegetation index

N Pettorelli - 2013 - books.google.com
There has been a recent surge of interest in remote sensing and its use in ecology and
conservation but this is the first book to focus explicitly on the NDVI (Normalised Difference …

Development of spectral indices for detecting and identifying plant diseases

AK Mahlein, T Rumpf, P Welke, HW Dehne… - Remote Sensing of …, 2013 - Elsevier
Spectral vegetation indices (SVIs) have been shown to be useful for an indirect detection of
plant diseases. However, these indices have not been evaluated to detect or to differentiate …

Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data

L Liu, NC Coops, NW Aven, Y Pang - Remote Sensing of Environment, 2017 - Elsevier
Mapping tree species within urban areas is essential for sustainable urban planning as well
as to improve our understanding of the role of urban vegetation as an ecological service …