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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Plant Disease Detection using Internet of Thing (IoT)
Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110162
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 1, 2020.
Abstract: This paper presents the idea of internet of things (IOT) innovation to percept data, and talks about the job of the IOT innovation in farming infection and bug nuisance control, which incorporates rural ailment and bug checking framework, gathering sickness and creepy crawly bother data utilizing sensor hubs, information preparing and mining, etc. A malady and bug irritation control framework dependent on IOT is proposed, which comprised of three levels and three frameworks. The framework can give another approach to get to horticultural data for the farm. In this paper a computerized framework has been created to decide if the plant is ordinary or infected. The typical development of the plants, yield and nature of horticultural items is truly influenced by plant illness. This paper attempt to build up a robotized framework that identifies the nearness of disease in the plants. A mechanized ailment recognition framework is created utilizing sensors like temperature, moistness and shading dependent on variety in plant leaf wellbeing condition. The qualities dependent on temperature, mugginess and shading parameters are utilized to distinguish nearness of plant sickness.
Keywords: Plant diseases; internet of things; temperature sensor plants; farming
Muhammad Amir Nawaz, Tehmina khan, Rana Mudassar Rasool, Maryam Kausar, Amir Usman, Tanvir Fatima Naik Bukht, Rizwan Ahmad and Jaleel Ahmad, “Plant Disease Detection using Internet of Thing (IoT)” International Journal of Advanced Computer Science and Applications(IJACSA), 11(1), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110162
@article{Nawaz2020,
title = {Plant Disease Detection using Internet of Thing (IoT)},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2020.0110162},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110162},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {1},
author = {Muhammad Amir Nawaz and Tehmina khan and Rana Mudassar Rasool and Maryam Kausar and Amir Usman and Tanvir Fatima Naik Bukht and Rizwan Ahmad and Jaleel Ahmad},
}
