Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model

Navarro, Alejandra; Nicastro, Nicola; Costa, Corrado; Pentangelo, Alfonso; Cardarelli, Mariateresa; Ortenzi, Luciano; Pallottino, Federico; Cardi, Teodoro; Pane, Catello

doi:10.1186/s13007-022-00880-4

Sorting biotic and abiotic stresses on wild rocket by leaf-image hyperspectral data mining with an artificial intelligence model

Author(s)

Navarro, Alejandra

Nicastro, Nicola

Costa, Corrado

Pentangelo, Alfonso

Cardarelli, Mariateresa

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Date Issued

2022

Type

article

Volume

18

Issue

1

Start Page

45

DOI

10.1186/s13007-022-00880-4

Journal

PLANT METHODS

Abstract

Wild rocket (Diplotaxis tenuifolia) is prone to soil-borne stresses under intensive cultivation systems devoted to ready-to-eat salad chain, increasing needs for external inputs. Early detection of the abiotic and biotic stresses by using digital reflectance-based probes may allow optimization and enhance performances of the mitigation strategies.

Handle

http://hdl.handle.net/2067/48246

File(s)

Name

Navarro2022_Article_SortingBioticAndAbioticStresse.pdf

Size

1.78 MB

Format

Adobe PDF

Checksum (MD5)

0399390b64cead134b3d24de2eefd7e4