ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
CROP RECOMMENDER
Authors
Ms.Alina Raheen , Vembakam Swarna Ambika , Konduru Priyanka , Bandla Anusha , Nara Manasa Mythri
Keywords
Abstract
Agriculture plays a vital role in sustaining global food systems, yet its growth is often hindered by challenges such as declining soil quality, unpredictable weather patterns, and inefficient crop management practices. This research proposes a Smart Agriculture system designed to address these challenges by integrating advanced technological solutions. The system leverages real-time monitoring of key parameters, including soil nutrients, moisture, pH levels, and weather conditions, to recommend the most suitable crops for cultivation. Additionally, it employs Machine Learning algorithms to predict crop yields based on historical data, soil characteristics, and climatic trends. By offering data-driven insights, the system empowers farmers to make informed decisions, optimize resource utilization, and achieve higher productivity. This approach not only enhances profitability for farmers and also environment and society.
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Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"CROP RECOMMENDER", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 1, page no.a317-a321, January-2025, Available :https://ijrti.org/papers/IJRTI2501042.pdf
APA — 7th edition
Raheen, M. A., Ambika, V. S., Priyanka, K., Anusha, B., & Mythri, N. M. (2025). CROP RECOMMENDER. International Journal for Research Trends and Innovation, 10(1), a317-a321. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042
MLA — 9th edition
Raheen, Ms.Alina, et al. "CROP RECOMMENDER." International Journal for Research Trends and Innovation, vol. 10, no. 1, 2025, pp. a317-a321, https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042.
Chicago — 17th, bibliography
Raheen, Ms.Alina, et al. "CROP RECOMMENDER." International Journal for Research Trends and Innovation 10, no. 1 (2025): a317-a321. https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042.
Harvard — author–date
Raheen, M.A. et al. (2025) 'CROP RECOMMENDER', International Journal for Research Trends and Innovation, 10(1), pp. a317-a321. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042
IEEE — numbered reference
M. A. Raheen, V. S. Ambika, K. Priyanka, B. Anusha and N. M. Mythri, "CROP RECOMMENDER," IJRTI, vol. 10, no. 1, pp. a317-a321, Jan. 2025.
Vancouver — biomedical
Raheen MA, Ambika VS, Priyanka K, Anusha B, Mythri NM. CROP RECOMMENDER. IJRTI. 2025 Jan;10(1):a317-a321.
AMA — 11th edition
Raheen MA, Ambika VS, Priyanka K, Anusha B, Mythri NM. CROP RECOMMENDER. IJRTI. 2025;10(1):a317-a321. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2501042,
author = {Ms.Alina Raheen and Vembakam Swarna Ambika and Konduru Priyanka and Bandla Anusha and Nara Manasa Mythri},
title = {CROP RECOMMENDER},
journal = {International Journal for Research Trends and Innovation},
volume = {10},
number = {1},
pages = {a317-a321},
year = {2025},
month = {January},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Raheen, Ms.Alina
AU - Ambika, Vembakam Swarna
AU - Priyanka, Konduru
AU - Anusha, Bandla
AU - Mythri, Nara Manasa
TI - CROP RECOMMENDER
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 10
IS - 1
PY - 2025
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042
SP - a317-a321
ER -
Issue
Volume 10 Issue 1,
January-2025
Pages : a317-a321
Other Publication Details
Paper Reg. ID
IJRTI_200343
Published Paper ID
IJRTI2501042
Downloads
205,631
Research Area
Computer Science & TechnologyÂ
Country
Bengaluru, Karnataka, Karnataka, India
Published
January 2025
Published Paper PDF
https://ijrti.org/papers/IJRTI2501042.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2501042
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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© 2025 — Authors hold the copyright of this article.
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The content, data and findings in this article are based on the authors’ research and have been
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
