Literature DB >> 35084709

Validation of a Plant Identification Application Using Digital Images of Toxic Plants.

Sarah Mahonski1, Emma Furlano2, William Chiang3.   

Abstract

Entities:  

Keywords:  Machine learning; Plants; Poisonous; Smartphone

Mesh：

Year:  2022        PMID： 35084709      PMCID： PMC8938528          DOI： 10.1007/s13181-022-00877-4

Source DB:  PubMed          Journal:  J Med Toxicol        ISSN： 1556-9039


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  3 in total

1.  The fax machine: a new method of plant identification.

Authors:  P E McKinney; H F Gomez; S Phillips; J Brent
Journal:  J Toxicol Clin Toxicol       Date:  1993

2.  2019 Annual Report of the American Association of Poison Control Centers' National Poison Data System (NPDS): 37th Annual Report.

Authors:  David D Gummin; James B Mowry; Michael C Beuhler; Daniel A Spyker; Daniel E Brooks; Katherine W Dibert; Laura J Rivers; Nathaniel P T Pham; Mark L Ryan
Journal:  Clin Toxicol (Phila)       Date:  2020-12       Impact factor: 4.467

3.  Swipe Right: a Comparison of Accuracy of Plant Identification Apps for Toxic Plants.

Authors:  Jenna Otter; Stephanie Mayer; Christian A Tomaszewski
Journal:  J Med Toxicol       Date:  2020-08-13
  3 in total

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