Paper Title

IOT-BASED INTELLIGENT FARMING EARLY DISEASE DETECTION IN RICE PADDY USING CNN

Article Identifiers

Registration ID: IJNRD_190162

Published ID: IJNRD2304124

DOI: Click Here to Get

Authors

Apoorva , Kiran BB

Keywords

Convolution neural networks, smart farming, Internet of Things, Rice Paddy, AI

Abstract

The agricultural industry faces significant economic losses each year due to bacterial, viral, or fungal infections in crops, resulting in a reduction of 15-20% in profits for farmers. India is a leading producer and exporter of rice, making early detection of crop diseases crucial. Smart Farming, which integrates Machine Learning with an IoT network, is a crucial area of research to prevent further damage to crops. In this study, an intelligent model based on Smart Farming has been proposed, which uses real-time data, image recognition, and pre-processing A self-designed image-processing tool was used for data preprocessing and feature extraction. Tensorflow and Keras frameworks were implemented on manually collected training and testing data from rice fields, resulting in an accuracy of 97.70%. Additionally, an app has been designed for farmers to utilize this technology

How To Cite

"IOT-BASED INTELLIGENT FARMING EARLY DISEASE DETECTION IN RICE PADDY USING CNN", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 4, page no.b206-b214, April-2023, Available :https://ijnrd.org/papers/IJNRD2304124.pdf

Issue

Volume 8 Issue 4, April-2023

Pages : b206-b214

Other Publication Details

Paper Reg. ID: IJNRD_190162

Published Paper Id: IJNRD2304124

Downloads: 000121170

Research Area: Engineering

Country: MULLUGUDDE PERDOOR UDUPI TALUK AND DISTRICT, KARNATAKA, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2304124.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2304124

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 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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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

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Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

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