Open AccessSmart Plant Care Voice Recognition and Plant Disease Detection Using IOT
Author(s) -
Kulkarni Gauri,
Deshmukh Pratiksha,
S Dahiwal Shital,
K. Tejaswini,
Prof Pandav
Publication year - 2020
Publication title -
international journal for research in engineering application and management
Language(s) - English
Resource type - Journals
ISSN - 2454-9150
DOI - 10.35291/2454-9150.2020.0384
Subject(s) - computer science , plant disease , identification (biology) , the internet , process (computing) , agriculture , internet of things , real time computing , embedded system , world wide web , geography , microbiology and biotechnology , botany , archaeology , biology , operating system
Nowadays Internet of Things (IoT) and Remote Sensing (RS) techniques are used in different area of research for monitoring, collecting and analysis data from remote locations. Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases and also care of plant using voice recognition. Through the Internet, Remote Data Center gets the real-time water quality data, and then analysis, process and record the data.