INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Intelligent autonomous farming robot for plant disease detection using image processing
Authors Name:
Dr. P.G. Gopinath
, Pudi Rohith , M. Ruchitha , O. Saikumar Reddy , K. Sivasohan Reddy, K.H. Punith Kumar
Unique Id:
IJSDR2007012
Published In:
Volume 5 Issue 7, July-2020
Abstract:
India is the country where the main source of income is from agriculture. Farmers grow a variety of crops based on their requirement but the most problems faced by them is diseases for plants which ruins their crop products. So we came with a solution of plant leaf disease detection robot which monitor the plants and capture the image and perform image processing on the image and tells whether diseased or healthy. By this process we can overcome the plant diseases and which leads to high production rate, it also tells the farmers what diseases is attacked and give precautions and pesticides for the plant. The reason why we created the robot is that the farmer cannot look after the plants continuously so instead of them we are placing a robot which revolves around the field and monitor the crop and gives information. So India can increase their production rate which helps to raise their economy. In this project we are going to detect various diseases from the different part of plants using convolutional neural network based on the training of images in database. In this database various images of apple are affected by disease are stored. The images are threshold to particular values after that detected image threshold are masked over the original image. This method gives greater accuracy when compared to other methods
"Intelligent autonomous farming robot for plant disease detection using image processing", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 7, page no.111 - 115, July-2020, Available :http://www.ijsdr.org/papers/IJSDR2007012.pdf
Downloads:
000337353
Publication Details:
Published Paper ID: IJSDR2007012
Registration ID:192050
Published In: Volume 5 Issue 7, July-2020
DOI (Digital Object Identifier):
Page No: 111 - 115
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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