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Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges

Authors: Pasquale Tripodi; Daniele Massa; Accursio Venezia; Teodoro Cardi;

Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges

Abstract

Increasing the ability to investigate plant functions and structure through non-invasive methods with high accuracy has become a major target in plant breeding and precision agriculture. Emerging approaches in plant phenotyping play a key role in unraveling quantitative traits responsible for growth, production, quality, and resistance to various stresses. Beyond fully automatic phenotyping systems, several promising technologies can help accurately characterize a wide range of plant traits at affordable costs and with high-throughput. In this review, we revisit the principles of proximal and remote sensing, describing the application of non-invasive devices for precision phenotyping applied to the protected horticulture. Potentiality and constraints of big data management and integration with “omics” disciplines will also be discussed.

Country
Italy
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Keywords

optical sensors, digital imaging, advanced crop management, Greenhouse horticulture, Fluorescence, Plant breeding, Vegetation indices, Automation, genomics, plant breeding, Advanced crop management, Phenomics, greenhouse horticulture, automation, S, phenomics, Agriculture, Genomics, Digital imaging, Optical sensors, vegetation indices, fluorescence

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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91
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4
6
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