Open AccessPlant Diseases Detection and Pesticide Suggestion Implementation
Author(s) -
Onkar Kunjir
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.35375
Subject(s) - plant disease , computer science , artificial intelligence , pesticide , affect (linguistics) , image (mathematics) , disease , machine learning , transfer of learning , agricultural engineering , microbiology and biotechnology , engineering , biology , agronomy , medicine , pathology , psychology , communication
Plant diseases affect the life of not only farmers but also businesses which are dependent on it. Plant disease detection is a computer vision problem which tries to identify the disease splat is infected using an image of a plant leaf. Different kinds of models have been proposed to tackle this problem. This paper focuses on generating small, lightweight and accurate models with the help of deep learning and transfer learning.