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 …

Precision nitrogen management of wheat. A review

M Diacono, P Rubino, F Montemurro - Agronomy for Sustainable …, 2013 - Springer
Conventional farming has led to extensive use of chemicals and, in turn, to negative
environmental impacts such as soil erosion, groundwater pollution and atmosphere …

Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars

K Erdle, B Mistele, U Schmidhalter - Field Crops Research, 2011 - Elsevier
Several sensor systems are available for ground-based remote sensing in crop
management. Vegetation indices of multiple active and passive sensors have seldom been …

Capturing crop adaptation to abiotic stress using image-based technologies

N Al-Tamimi, P Langan, V Bernád, J Walsh… - Open …, 2022 - royalsocietypublishing.org
Farmers and breeders aim to improve crop responses to abiotic stresses and secure yield
under adverse environmental conditions. To achieve this goal and select the most resilient …

Unoccupied aerial systems imagery for phenotyping in cotton, maize, soybean, and wheat breeding

AW Herr, A Adak, ME Carroll, D Elango, S Kar… - Crop …, 2023 - Wiley Online Library
High‐throughput phenotyping (HTP) with unoccupied aerial systems (UAS), consisting of
unoccupied aerial vehicles (UAV; or drones) and sensor (s), is an increasingly promising …

Using NDVI to differentiate wheat genotypes productivity under dryland and irrigated conditions

MA Naser, R Khosla, L Longchamps, S Dahal - Remote Sensing, 2020 - mdpi.com
Crop breeders are looking for tools to facilitate the screening of genotypes in field trials.
Remote sensing-based indices such as normalized difference vegetative index (NDVI) are …

Assessment of vegetation indices derived by UAV imagery for durum wheat phenotyping under a water limited and heat stressed Mediterranean environment

AC Kyratzis, DP Skarlatos, GC Menexes… - Frontiers in Plant …, 2017 - frontiersin.org
There is growing interest for using Spectral Vegetation Indices (SVI) derived by Unmanned
Aerial Vehicle (UAV) imagery as a fast and cost-efficient tool for plant phenotyping. The …

[HTML][HTML] Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery

J Ma, B Liu, L Ji, Z Zhu, Y Wu, W Jiao - International Journal of Applied …, 2023 - Elsevier
Field-scale crop yield prediction is critical to site-specific field management, which has been
facilitated by recent studies fusing unmanned aerial vehicles (UAVs) based multimodal data …

Comparing the performance of active and passive reflectance sensors to assess the normalized relative canopy temperature and grain yield of drought-stressed …

S Elsayed, P Rischbeck, U Schmidhalter - Field Crops Research, 2015 - Elsevier
High-throughput precision phenotyping, using spectral reflectance measurements, has the
potential to provide more information for making better-informed management decisions at …

Potential of the existing and novel spectral reflectance indices for estimating the leaf water status and grain yield of spring wheat exposed to different irrigation rates

SE El-Hendawy, NA Al-Suhaibani, S Elsayed… - Agricultural Water …, 2019 - Elsevier
Hyperspectral sensing technique can provide an exact and expeditious manner for effective
management of deficit irrigation through assessment of changes in plant water status in a …