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A Comprehensive Survey on Plant Disesases Detection
Author(s) -
Mr. Kathan Gohil,
Prof. Amita Tailor,
Prof. Anjali Solanki
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - Uncategorized
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.41558
Subject(s) - identification (biology) , agriculture , product (mathematics) , crop , plant disease , disease , process (computing) , computer science , artificial neural network , agricultural engineering , agroforestry , data science , artificial intelligence , microbiology and biotechnology , geography , engineering , forestry , biology , medicine , mathematics , botany , pathology , geometry , archaeology , operating system

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