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Leaf Disease Detection Using Raspberry Pi
Subject area: Science,Engineering and Technology · Area of research: ECE
Abstract
Green plants are very much important to the human environment; they form the basis for the sustainability and long term health of environmental systems. Thus it is very important to grow healthy plants. The plant disease could be cured if it is known in the earlier stage. In this paper, we have proposed a system using raspberry pi to detect healthy and unhealthy plants & alerts the farmer by sending email. We have used tensor flow tool for numerical computation. It can be used in an controlled environment farms such that it detects the signs of disease whenever they appear on the leaves of the plant.
Keywords
Convolutional Neural Network, Raspberry Pi, Tensor Flow
How to cite this paper
@article{1701171,
author = {LAYA YESUDAS, SANTHIYA.S, PARIMALA.R, MOHAMMAD HARRIS S},
title = {Leaf Disease Detection Using Raspberry Pi},
journal = {Iconic Research And Engineering Journals},
year = {2019},
volume = {2},
number = {10},
pages = {341-345},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1701171.pdf},
abstract = {Green plants are very much important to the human environment; they form the basis for the sustainability and long term health of environmental systems. Thus it is very important to grow healthy plants. The plant disease could be cured if it is known in the earlier stage. In this paper, we have proposed a system using raspberry pi to detect healthy and unhealthy plants & alerts the farmer by sending email. We have used tensor flow tool for numerical computation. It can be used in an controlled environment farms such that it detects the signs of disease whenever they appear on the leaves of the plant.},
keywords = {Convolutional Neural Network, Raspberry Pi, Tensor Flow},
month = {April},
}