Table 2.

Simplified overview of the data extraction template

RQ-1
Study identifier
Year of publication	[2005–2015]
Country of all author(s)
Authors’ background	[Biology/Ecology, Computer science/Engineering, Education]
Publication type	[journal, conference proceedings]
RQ-2
Depicted organ(s)${}^{\mathrm{a}}$	[leaf, flower, fruit, stem, whole plant]
No. of species
No. of images
Image source(s)${}^{\mathrm{a}}$	[own dataset, existing dataset]
(a) own dataset	[fresh material, herbarium specimen, web]
(b) existing dataset	[name, no. of species, no. of images, source]
Image type${}^{\mathrm{a}}$	[photo, scan, pseudo-scan]
Image background${}^{\mathrm{a}}$	[natural, plain]
Considering:
(a) damaged leaves	[yes, no]
(b) overlapped leaves	[yes, no]
(c) compound leaves	[yes, no]
RQ-3
Studied organ${}^{\mathrm{a}}$	[leaf, flower, fruit, stem, whole plant]
Studied feature(s)${}^{\mathrm{a}}$	[shape, color, texture, margin, vein]
Studied descriptor(s)${}^{\mathrm{a}}$
RQ-4
Utilized dataset
No. of species
Studied feature(s)${}^{\mathrm{a}}$
Applied classifier
Achieved accuracy
RQ-5
Prototype name
Type of application	[mobile, web, desktop]
Computation${}^{\mathrm{a}}$	[online, offline]
Publicly available	[yes, no]
Supported organ${}^{\mathrm{a}}$	[leaf, flower, multi-organ]
Expected background${}^{\mathrm{a}}$	[plain, natural]

^aMultiple values possible