Machine learning approaches for crop yield prediction and nitrogen status estimation in precision agriculture: A review

A Chlingaryan, S Sukkarieh, B Whelan - Computers and electronics in …, 2018 - Elsevier
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 …

A review of visible and near-infrared (Vis-NIR) spectroscopy application in plant stress detection

SADM Zahir, AF Omar, MF Jamlos, MAM Azmi… - Sensors and Actuators A …, 2022 - Elsevier
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 …

A standardized catalogue of spectral indices to advance the use of remote sensing in Earth system research

D Montero, C Aybar, MD Mahecha, F Martinuzzi… - Scientific Data, 2023 - nature.com
Spectral Indices derived from multispectral remote sensing products are extensively used to
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

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 …

Evaluating the saturation effect of vegetation indices in forests using 3D radiative transfer simulations and satellite observations

S Gao, R Zhong, K Yan, X Ma, X Chen, J Pu… - Remote Sensing of …, 2023 - Elsevier
Vegetation indices (VIs) have been used extensively for qualitative and quantitative remote
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 …

Development of an accurate low cost NDVI imaging system for assessing plant health

JD Stamford, S Vialet-Chabrand, I Cameron, T Lawson - Plant Methods, 2023 - Springer
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 …

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 …

Quantifying vegetation biophysical variables from imaging spectroscopy data: A review on retrieval methods

J Verrelst, Z Malenovský, C Van der Tol… - Surveys in …, 2019 - Springer
An unprecedented spectroscopic data stream will soon become available with forthcoming
Earth-observing satellite missions equipped with imaging spectroradiometers. This data …

PROSPECT-D: Towards modeling leaf optical properties through a complete lifecycle

JB Féret, AA Gitelson, SD Noble… - Remote Sensing of …, 2017 - Elsevier
Leaf pigments provide valuable information about plant physiology. High resolution
monitoring of their dynamics will give access to better understanding of processes occurring …