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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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Volume 11 | Issue 3
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 118
Article Submitted : 21508
Article Published : 8513
Total Authors : 22399
Total Reviewer : 805
Total Countries : 158
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| Paper Title: | Leaf Disease Detection System And Automatic Pesticide Spraying Control Robot Using Raspberry Pi |
| Authors Name: | K. Veenanand , Seema Afreen Khan , Vaddadi RajaRajeswari , Mooraboina Venkata Vijay , Raja Tungala |
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IJRTI_186352
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| Published Paper Id: | IJRTI2304262 |
| Published In: | Volume 8 Issue 4, April-2023 |
| DOI: | |
| Abstract: | For the detection and prevention of diseases of plants from getting spread, this project proposed a system using image processing. For the image analysis, Conventional Neural Networks were used. It has many advantages for use in big farms of crops and thus it automatically detects signs of disease whenever they appear on the leaves of the plant. In pharmaceutical research leaf disease detection is a necessary and important topic for research because it has advantages in monitoring crops in the field at the form and thus it automatically detects symptoms of the disease by image processing by the CNN algorithm. The term disease means the type of damage to the plants. This project provides the best method for the detection of plant diseases using image processing and alerting about the disease caused by sending to an IOT Server and displaying the name of the disease and precautions on the mobile application of the owner of the system. And by using robots it automatically sprays pesticides to the plants. It will reduce the cost required for pesticides and other products. This will lead to an increase in productivity of the farming. |
| Keywords: | Image Processing, Raspberry Pi, Python. |
| Cite Article: | "Leaf Disease Detection System And Automatic Pesticide Spraying Control Robot Using Raspberry Pi", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 4, page no.1589 - 1594, April-2023, Available :http://www.ijrti.org/papers/IJRTI2304262.pdf |
| Downloads: | 000205338 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2304262
Registration ID:186352
Published In: Volume 8 Issue 4, April-2023
DOI (Digital Object Identifier):
Page No: 1589 - 1594 Country: Kanchikacherla, Andhra Pradesh, India Research Area: Electronics & Communication Engg. Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2304262 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2304262 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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