Monitoring of sugar beet growth indicators using wide-dynamic-range vegetation index (WDRVI) derived from UAV multispectral images

Y Cao, GL Li, YK Luo, Q Pan, SY Zhang - Computers and Electronics in …, 2020 - Elsevier
The normalized vegetation index (NDVI) is widely used to monitor the spatial, temporal,
physiological, and biophysical characteristics of vegetation. However, if the ground biomass …

Assessing crop damage from dicamba on non‐dicamba‐tolerant soybean by hyperspectral imaging through machine learning

J Zhang, Y Huang, KN Reddy… - Pest management …, 2019 - Wiley Online Library
BACKGROUND Dicamba effectively controls several broadleaf weeds. The off‐target drift of
dicamba spray or vapor drift can cause severe injury to susceptible crops, including non …

Spectral vegetation indices selected for quantifying Russian wheat aphid (Diuraphis noxia) feeding damage in wheat (Triticum aestivum L.)

M Mirik, RJ Ansley, GJ Michels, NC Elliott - Precision Agriculture, 2012 - Springer
The effects of insect infestation in agricultural crops are of major economic interest because
of increased cost of pest control and reduced final yield. The Russian wheat aphid (RWA …

Accuracy of carrot yield forecasting using proximal hyperspectral and satellite multispectral data

LA Suarez, A Robson, J McPhee, J O'Halloran… - Precision …, 2020 - Springer
Proximal and remote sensors have proved their effectiveness for the estimation of several
biophysical and biochemical variables, including yield, in many different crops. Evaluation of …

Monitoring of riparian vegetation response to flood disturbances using terrestrial photography

K Džubáková, P Molnar, K Schindler… - Hydrology and Earth …, 2015 - hess.copernicus.org
Flood disturbance is one of the major factors impacting riparian vegetation on river
floodplains. In this study we use a high-resolution ground-based camera system with near …

Differentiate soybean response to off-target dicamba damage based on UAV imagery and machine learning

CC Vieira, S Sarkar, F Tian, J Zhou, D Jarquin… - Remote Sensing, 2022 - mdpi.com
The wide adoption of dicamba-tolerant (DT) soybean has led to numerous cases of off-target
dicamba damage to non-DT soybean and dicot crops. This study aimed to develop a method …

Mapping water-logging damage on winter wheat at parcel level using high spatial resolution satellite data

W Liu, J Huang, C Wei, X Wang, LR Mansaray… - ISPRS Journal of …, 2018 - Elsevier
Damage to agricultural crops due to water-logging is becoming more frequent in this era of
global climate change. In this study, we investigated the effect of water-logging on winter …

[HTML][HTML] Subtropical region tea tree LAI estimation integrating vegetation indices and texture features derived from UAV multispectral images

ZH Zhuang, HP Tsai, CI Chen, MD Yang - Smart Agricultural Technology, 2024 - Elsevier
Monitoring perennial tea tree leaf area index (LAI) provides essential insights into crop
growth, and unmanned aerial vehicle (UAV)-based LAI estimation has recently proven …

In-situ plant hyperspectral sensing for early detection of soybean injury from dicamba

Y Huang, L Yuan, KN Reddy, J Zhang - biosystems engineering, 2016 - Elsevier
Highlights•Hyperspectral sensing can differentiate treated from untreated soybean.•VIs
useful in differentiating treated from untreated soybean from 24 to 72 HAT.•Differentiation …

Assessment of soybean injury from glyphosate using airborne multispectral remote sensing

Y Huang, KN Reddy, SJ Thomson… - Pest Management …, 2015 - Wiley Online Library
BACKGROUND Glyphosate drift onto off‐target sensitive crops can reduce growth and yield
and is of great concern to growers and pesticide applicators. Detection of herbicide injury …