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Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review
Accurate yield estimation and optimised nitrogen management is essential in agriculture.
Remote sensing (RS) systems are being more widely used in building decision support tools …
Remote sensing (RS) systems are being more widely used in building decision support tools …
A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection
Health monitoring in plants is vital for agricultural sustainability. Currently, the number of
techniques able to detect plant stress and disease at an early stage is limited. Prevention of …
techniques able to detect plant stress and disease at an early stage is limited. Prevention of …
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 …
Individual tree segmentation and tree species classification in subtropical broadleaf forests using UAV-based LiDAR, hyperspectral, and ultrahigh-resolution RGB data
Accurate classification of individual tree species is essential for inventorying, managing, and
protecting forest resources. Individual tree species classification in subtropical forests …
protecting forest resources. Individual tree species classification in subtropical forests …
Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations
Vegetation indices (VIs) have been used extensively for qualitative and quantitative remote
sensing monitoring of vegetation vigor and growth dynamics. However, the saturation …
sensing monitoring of vegetation vigor and growth dynamics. However, the saturation …
Significant remote sensing vegetation indices: A review of developments and applications
J Xue, B Su - Journal of sensors, 2017 - Wiley Online Library
Vegetation Indices (VIs) obtained from remote sensing based canopies are quite simple and
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
effective algorithms for quantitative and qualitative evaluations of vegetation cover, vigor …
Development of an accurate low cost NDVI imaging system for assessing plant health
Background Spectral imaging is a key method for high throughput phenoty** that can be
related to a large variety of biological parameters. The Normalised Difference Vegetation …
related to a large variety of biological parameters. The Normalised Difference Vegetation …
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 …
Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …
PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle
Leaf pigments provide valuable information about plant physiology. High resolution
monitoring of their dynamics will give access to better understanding of processes occurring …
monitoring of their dynamics will give access to better understanding of processes occurring …