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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
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
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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
Journal: Plant Methods

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

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