Paper Title
Smart Harvesting Application for Crop Recommendation and Disease Detection
Article Identifiers
Authors
Suraj Savji , Gokul Borade , Tushar Pawar , Harish Ghodke , Avishkar Khude
Keywords
Smart Farming System, Machine Learning, Crop Yield Prediction, Crop Disease Detection, Multilingual Support, Online Farming Community
Abstract
Traditional farming methods, while established, often lack precision, leading to lower yields and increased workload. Our innovative smart farming system disrupts this by harnessing advanced data analysis and machine learning. Imagine a virtual farmhand predicting crop yields with uncanny accuracy based on real-time environmental data. This empowers farmers to make informed decisions, maximizing productivity. Our system also acts like a vigilant eye, using image recognition to detect crop diseases early, allowing for swift intervention. Accessibility is crucial. The user interface is user-friendly for all tech backgrounds, and multilingual support breaks down language barriers. This fosters a diverse agricultural community where everyone can thrive. Our vision extends beyond immediate benefits. We envision a thriving online community where farmers connect, share knowledge, and collaborate. This empowers them and builds a more resilient agricultural sector. Our smart farming system is more than just a yield maximizer; it's a catalyst for a sustainable future. By equipping farmers with the knowledge to make informed decisions, they become stewards of their land, optimizing resources and minimizing environmental impact. This paves the way for a thriving and sustainable agricultural landscape, ensuring food security for generations to come.
Downloads
How To Cite (APA)
Suraj Savji, Gokul Borade , Tushar Pawar , Harish Ghodke , & Avishkar Khude (May-2024). Smart Harvesting Application for Crop Recommendation and Disease Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), g544-g549. https://ijnrd.org/papers/IJNRD2405660.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : g544-g549
Other Publication Details
Paper Reg. ID: IJNRD_214918
Published Paper Id: IJNRD2405660
Downloads: 000121976
Research Area: Engineering
Country: Pune, Maharashtra, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405660.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405660
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
Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG
Licence
This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
Publication Timeline
Article Preview: View Full Paper
Call For Paper
IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.
The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.
Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
Paper Submission Open For: October 2025
Current Issue: Volume 10 | Issue 10 | October 2025
Impact Factor: 8.76
Last Date for Paper Submission: Till 31-Oct-2025
Notification of Review Result: Within 1-2 Days after Submitting paper.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.
Subject Category: Research Area
Call for Paper: More Details
