Optical vegetation indices for monitoring terrestrial ecosystems globally
Vegetation indices (VIs), which describe remotely sensed vegetation properties such as
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
photosynthetic activity and canopy structure, are widely used to study vegetation dynamics …
Visible-NIR 'point'spectroscopy in postharvest fruit and vegetable assessment: The science behind three decades of commercial use
The application of visible (Vis; 400–750 nm) and near infrared red (NIR; 750–2500 nm)
region spectroscopy to assess fruit and vegetables is reviewed in context of …
region spectroscopy to assess fruit and vegetables is reviewed in context of …
[HTML][HTML] A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research
Spectral Indices derived from multispectral remote sensing products are extensively used to
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
monitor Earth system dynamics (eg vegetation dynamics, water bodies, fire regimes). The …
Above-ground biomass estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging
Rapid and accurate biomass and yield estimation facilitates efficient plant phenotyping and
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
site-specific crop management. A low altitude unmanned aerial vehicle (UAV) was used to …
Hyperspectral image analysis techniques for the detection and classification of the early onset of plant disease and stress
A Lowe, N Harrison, AP French - Plant methods, 2017 - Springer
This review explores how imaging techniques are being developed with a focus on
deployment for crop monitoring methods. Imaging applications are discussed in relation to …
deployment for crop monitoring methods. Imaging applications are discussed in relation to …
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 …
prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing …
A review of advanced technologies and development for hyperspectral-based plant disease detection in the past three decades
The detection, quantification, diagnosis, and identification of plant diseases is particularly
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
crucial for precision agriculture. Recently, traditional visual assessment technology has not …
Early identification of strawberry leaves disease utilizing hyperspectral imaging combing with spectral features, multiple vegetation indices and textural features
G Wu, Y Fang, Q Jiang, M Cui, N Li, Y Ou, Z Diao… - … and Electronics in …, 2023 - Elsevier
Gray mold is a devastating disease during the growth of strawberries, which markedly affects
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …
strawberry yield and quality. Accurate, rapid, and nondestructive recognition in the early …
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Alfalfa yield prediction using UAV-based hyperspectral imagery and ensemble learning
Alfalfa is a valuable and intensively produced forage crop in the United States, and the
timely estimation of its yield can inform precision management decisions. However …
timely estimation of its yield can inform precision management decisions. However …