Leaf Disease Detection Using Raspberry Pi

• Author(s): LAYA YESUDAS ; SANTHIYA.S ; PARIMALA.R ; MOHAMMAD HARRIS S
• Paper ID: 1701171
• Page: 341-345
• Published Date: 09-05-2019
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 10 April-2019

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

Citations

IRE Journals:
LAYA YESUDAS , SANTHIYA.S , PARIMALA.R , MOHAMMAD HARRIS S "Leaf Disease Detection Using Raspberry Pi" Iconic Research And Engineering Journals Volume 2 Issue 10 2019 Page 341-345

IEEE:
LAYA YESUDAS , SANTHIYA.S , PARIMALA.R , MOHAMMAD HARRIS S "Leaf Disease Detection Using Raspberry Pi" Iconic Research And Engineering Journals, 2(10)