2023
DOI: 10.1016/j.dib.2023.109488
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BDMediLeaves: A leaf images dataset for Bangladeshi medicinal plants identification

Saiful Islam,
Md. Rayhan Ahmed,
Siful Islam
et al.
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Cited by 9 publications
(2 citation statements)
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“…Seeds are abundant, 6 by 5 mm in size, roughly oval, flattened, thinly margined, tomentose, and brown in colour. 2.5-3.2 cm in length [5,6] . Nutritive and growth contrasted analysis: Calotropis has a high level of drought tolerance and demonstrates a certain degree of salt resistance [7] .…”
Section: Ethno Botanical Descriptionmentioning
confidence: 99%
“…Seeds are abundant, 6 by 5 mm in size, roughly oval, flattened, thinly margined, tomentose, and brown in colour. 2.5-3.2 cm in length [5,6] . Nutritive and growth contrasted analysis: Calotropis has a high level of drought tolerance and demonstrates a certain degree of salt resistance [7] .…”
Section: Ethno Botanical Descriptionmentioning
confidence: 99%
“…In the past few years, there has been a growing utilization of leaf images for the identification of diseases and infestations [ 2 , 3 ]. Additionally, leaf images have proven valuable for the recognition of plant species [4] , [5] , [6] , [7] . From these studies, it is evident that leaf images serve a multifaceted purpose, encompassing disease recognition, plant species identification, and the differentiation between healthy and unhealthy plants.…”
Section: Introductionmentioning
confidence: 99%