Next Article in Journal
Development of ent-kaurene Oxidase-Based Conserved Intron Spanning Primers for Species Identification in the Genus Poa (Poaceae; Bluegrass)
Next Article in Special Issue
Existing and Potential Statistical and Computational Approaches for the Analysis of 3D CT Images of Plant Roots
Previous Article in Journal
The Effect of Community-Based Soil and Water Conservation Practices on Abundance and Diversity of Soil Macroinvertebrates in the Northern Highlands of Ethiopia
Previous Article in Special Issue
Increasing Predictive Ability by Modeling Interactions between Environments, Genotype and Canopy Coverage Image Data for Soybeans
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessReview
Agronomy 2018, 8(4), 57; https://doi.org/10.3390/agronomy8040057

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

1
CREA Research Centre for Vegetable and Ornamental Crops, 84098 Pontecagnano Faiano, Italy
2
CREA Research Centre for Vegetable and Ornamental Crops, 51017 Pescia, Italy
*
Author to whom correspondence should be addressed.
Received: 23 February 2018 / Revised: 16 April 2018 / Accepted: 19 April 2018 / Published: 22 April 2018
(This article belongs to the Special Issue Precision Phenotyping in Plant Breeding)
Full-Text   |   PDF [754 KB, uploaded 3 May 2018]   |  

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. View Full-Text
Keywords: digital imaging; genomics; phenomics; plant breeding; greenhouse horticulture; advanced crop management; automation; vegetation indices; optical sensors; fluorescence digital imaging; genomics; phenomics; plant breeding; greenhouse horticulture; advanced crop management; automation; vegetation indices; optical sensors; fluorescence
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Tripodi, P.; Massa, D.; Venezia, A.; Cardi, T. Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges. Agronomy 2018, 8, 57.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top