2016
DOI: 10.3389/fpls.2016.00666
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A Novel Remote Sensing Approach for Prediction of Maize Yield Under Different Conditions of Nitrogen Fertilization

Abstract: Maize crop production is constrained worldwide by nitrogen (N) availability and particularly in poor tropical and subtropical soils. The development of affordable high-throughput crop monitoring and phenotyping techniques is key to improving maize cultivation under low-N fertilization. In this study several vegetation indices (VIs) derived from Red-Green-Blue (RGB) digital images at the leaf and canopy levels are proposed as low-cost tools for plant breeding and fertilization management. They were compared wit… Show more

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Cited by 116 publications
(100 citation statements)
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“…Tanger et al (2017) used a combination of tractormounted multispectral reflectance and ultrasonic sensors to detect manually validated QTL associated with biomass in rice 4 . Similar measurements have been deployed in other field-grown crops using ground vehicles, aerial vehicles and gantries requiring investment in equipment that often exceeds $100,000s -$1,000,000s 22,23 . In addition to the expense of HTP equipment, many techniques under development require extensive research infrastructure, permits (e.g.…”
mentioning
confidence: 91%
“…Tanger et al (2017) used a combination of tractormounted multispectral reflectance and ultrasonic sensors to detect manually validated QTL associated with biomass in rice 4 . Similar measurements have been deployed in other field-grown crops using ground vehicles, aerial vehicles and gantries requiring investment in equipment that often exceeds $100,000s -$1,000,000s 22,23 . In addition to the expense of HTP equipment, many techniques under development require extensive research infrastructure, permits (e.g.…”
mentioning
confidence: 91%
“…Over the last decade, there has been a growing interest in exploring high-throughput imaging techniques to dissect quantitative crop phenotypic traits [3,4]. Visible light imaging has been widely reported among other imaging techniques.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, remote images of the field are captured with sensors attached to aerial platforms [36][37][38][39] for trait estimation. Recent studies to quantify plant canopy development from images either report trait comparisons with reference to a different sensor technology such as LiDAR [16,40] or compare image-based estimation techniques with manual methods [5,41].…”
Section: Introductionmentioning
confidence: 99%