AN EXTENSIVE STUDY ON CLASSIFICATION BASED PLANT DISEASE DETECTION SYSTEM
Author(s) -
Ms. Sri Silpa Padmanabhuni
Publication year - 2020
Publication title -
journal of mechanics of continua and mathematical sciences
Language(s) - English
Resource type - Journals
eISSN - 2454-7190
pISSN - 0973-8975
DOI - 10.26782/jmcms.2020.05.00002
Subject(s) - plant disease , computer science , artificial intelligence , biology , microbiology and biotechnology
Agriculture plays an important role in the Indian economy, therefore early prediction of plant diseases will help in increasing the productivity of crops thereby contributing to the economy’s growth. However, Manual identification of diseases in plants at every stage is very difficult since it involves huge manpower and requires extensive knowledge about plants. Multi disease patterns and pest identification can be automated using computer vision and deep learning techniques and by observing the controlled environmental parameters. Using, Internet of things the model can continuously monitor the temperature, humidity and water levels.
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