Paper Title
Intelligent Recommendation System For Agricultural Cultivation
Article Identifiers
Authors
G. Sai Krishna , D. Calvin Antony , G. Siva Shankar
Keywords
Machine learning, CNN, ANN, Random Forest, RESNET
Abstract
When growing crops, farmers face a number of difficulties, including erratic irrigation, subpar soil, etc. A significant portion of farmers, particularly in India, lack the knowledge necessary to choose the right crops and fertilizers. Additionally, both farmers and consumers suffer significant losses when crops fail due to disease. The use of Deep Learning has not been adequately investigated, despite recent advancements in the automated identification of certain diseases utilizing Machine Learning approaches. Such models are also difficult to employ due to the good quality data used in their learning, a absence of processing capacity, and the algorithms' weak generalization capabilities. In order to do this, we develop an open-source, user-friendly online application to address some of these problems.
Downloads
How To Cite
"Intelligent Recommendation System For Agricultural Cultivation", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b41-b45, May-2023, Available :https://ijnrd.org/papers/IJNRD2305108.pdf
Issue
Volume 8 Issue 5, May-2023
Pages : b41-b45
Other Publication Details
Paper Reg. ID: IJNRD_194031
Published Paper Id: IJNRD2305108
Downloads: 000121113
Research Area: Engineering
Country: prakasam, Andhra Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2305108.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305108
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
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 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.
Indexing In Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar | AI-Powered Research Tool, Microsoft Academic, Academia.edu, arXiv.org, Research Gate, CiteSeerX, ResearcherID Thomson Reuters, Mendeley : reference manager, DocStoc, ISSUU, Scribd, and many more
How to submit the paper?
By Our website
Click Here to Submit Paper Online
Important Dates for Current issue
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.
Publication of Paper: Within 01-02 Days after Submititng documents.
Frequency: Monthly (12 issue Annually).
Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.
Subject Category: Research Area