Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges
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...
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Online Access: | http://www.mdpi.com/2073-4395/8/4/57 |
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doaj-231383c0f26b4b16a5385e6719b6ef3f2021-04-02T07:16:51ZengMDPI AGAgronomy2073-43952018-04-01845710.3390/agronomy8040057agronomy8040057Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future ChallengesPasquale Tripodi0Daniele Massa1Accursio Venezia2Teodoro Cardi3CREA Research Centre for Vegetable and Ornamental Crops, 84098 Pontecagnano Faiano, ItalyCREA Research Centre for Vegetable and Ornamental Crops, 51017 Pescia, ItalyCREA Research Centre for Vegetable and Ornamental Crops, 84098 Pontecagnano Faiano, ItalyCREA Research Centre for Vegetable and Ornamental Crops, 84098 Pontecagnano Faiano, ItalyIncreasing 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.http://www.mdpi.com/2073-4395/8/4/57digital imaginggenomicsphenomicsplant breedinggreenhouse horticultureadvanced crop managementautomationvegetation indicesoptical sensorsfluorescence |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Pasquale Tripodi Daniele Massa Accursio Venezia Teodoro Cardi |
spellingShingle |
Pasquale Tripodi Daniele Massa Accursio Venezia Teodoro Cardi Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges Agronomy digital imaging genomics phenomics plant breeding greenhouse horticulture advanced crop management automation vegetation indices optical sensors fluorescence |
author_facet |
Pasquale Tripodi Daniele Massa Accursio Venezia Teodoro Cardi |
author_sort |
Pasquale Tripodi |
title |
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges |
title_short |
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges |
title_full |
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges |
title_fullStr |
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges |
title_full_unstemmed |
Sensing Technologies for Precision Phenotyping in Vegetable Crops: Current Status and Future Challenges |
title_sort |
sensing technologies for precision phenotyping in vegetable crops: current status and future challenges |
publisher |
MDPI AG |
series |
Agronomy |
issn |
2073-4395 |
publishDate |
2018-04-01 |
description |
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. |
topic |
digital imaging genomics phenomics plant breeding greenhouse horticulture advanced crop management automation vegetation indices optical sensors fluorescence |
url |
http://www.mdpi.com/2073-4395/8/4/57 |
work_keys_str_mv |
AT pasqualetripodi sensingtechnologiesforprecisionphenotypinginvegetablecropscurrentstatusandfuturechallenges AT danielemassa sensingtechnologiesforprecisionphenotypinginvegetablecropscurrentstatusandfuturechallenges AT accursiovenezia sensingtechnologiesforprecisionphenotypinginvegetablecropscurrentstatusandfuturechallenges AT teodorocardi sensingtechnologiesforprecisionphenotypinginvegetablecropscurrentstatusandfuturechallenges |
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1724171306037936128 |