Show simple item record

Unmanned aerial platform‑based multi‑spectral imaging for field phenotyping of maize

Author: Zaman-Allah, M.
Author: Vergara Diaz, O.
Author: Araus, J.L.
Author: Zarco‑Tejada, P.J.
Author: Hornero, A.
Author: Hernández-Alba, A.
Author: Magorokosho, C.
Author: Das, B.
Author: Amsal Tesfaye Tarekegne
Author: Cairns, J.E.
Author: Prasanna, B.M.
Author: Olsen, M.
Author: Craufurd, P.
Year: 2015
URI: http://hdl.handle.net/10883/16941
Abstract: Background: Recent developments in unmanned aerial platforms (UAP) have provided research opportunities in assessing land allocation and crop physiological traits, including response to abiotic and biotic stresses. UAP-based remote sensing can be used to rapidly and cost-effectively phenotype large numbers of plots and field trials in a dynamic way using time series. This is anticipated to have tremendous implications for progress in crop genetic improvement. Results: We present the use of a UAP equipped with sensors for multispectral imaging in spatial field variability assessment and phenotyping for low-nitrogen (low-N) stress tolerance in maize. Multispectral aerial images were used to (1) characterize experimental fields for spatial soil-nitrogen variability and (2) derive indices for crop performance under low-N stress. Overall, results showed that the aerial platform enables to effectively characterize spatial field variation and assess crop performance under low-N stress. The Normalized Difference Vegetation Index (NDVI) data derived from spectral imaging presented a strong correlation with ground-measured NDVI, crop senescence index and grain yield. Conclusion: This work suggests that the aerial sensing platform designed for phenotyping studies has the potential to effectively assist in crop genetic improvement against abiotic stresses like low-N provided that sensors have enough resolution for plot level data collection. Limitations and future potential uses are also discussed.
Format: PDF
Language: English
Publisher: BioMed Central
Copyright: CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose.
Type: Article
Place of Publication: London, United Kingdom
Pages: art.35
Issue: 1
Volume: 11
DOI: 10.1186/s13007-015-0078-2
Keywords: Phenotyping Platform
Keywords: UAP
Country of Focus: ETHIOPIA
Agrovoc: MAIZE
Agrovoc: PHENOTYPES
Agrovoc: REMOTE SENSING
Agrovoc: UNMANNED AERIAL VEHICLES
Agrovoc: NITROGEN FERTILIZERS
Journal: Plant Methods


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • Maize
    Maize breeding, phytopathology, entomology, physiology, quality, and biotech

Show simple item record