Call for Papers:Vol.12 Issue.1

Submission
Last date		 28-Feb-2026
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-12,Issue-1. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION
PaperId: :  22821
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 2 2024
DUI:    16.0415/IJARIIE-22821
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
RAGAVI RBANNARI AMMAN INSTITUTE OF TECHNOLOGY
THIANESH GBANNARI AMMAN INSTITUTE OF TECHNOLOGY
DHIVYAAN SBANNARI AMMAN INSTITUTE OF TECHNOLOGY
GAYATHRI KBANNARI AMMAN INSTITUTE OF TECHNOLOGY

Abstract

MACHINE LEARNING, COMPUTER ENGINEERING
AI, Decision tree algorithm, Crop Recommendation, Fertilizer prediction
The crop recommendation module employs machine learning algorithms to analyze soil type, climate conditions, and past crop performance, providing personalized suggestions for suitable crops in a given region. By considering local environmental characteristics, the system enhances the accuracy of its recommendations. This enables the system to forecast the ideal type and quantity of fertilizer needed for a specific crop and field. The user interface is designed for ease of use, ensuring accessibility for farmers with varying levels of technological proficiency. Farmers can input preferences, receive crop recommendations, and access detailed fertilizer prescriptions through a mobile or web-based application. Our Smart Agriculture solution aims to foster sustainable farming practices by promoting efficient resource use, reducing environmental impact, and enhancing overall farm productivity. This research proposes an intelligent system that uses a decision tree algorithm to anticipate fertilizer and recommend crops. To suggest appropriate crops for cultivation, the suggested approach examines several variables, including crop attributes, soil type, and climate. Furthermore, it forecasts the ideal kind and number of fertilizers needed for every suggested crop, supporting sustainable farming methods. The system's decision tree algorithm makes forecasts that are both accurate and efficient, which improves crop productivity and resource use. The field of crop recommendation and fertilizer prediction research aids in sustainable farming, global food security, rural development, and the agriculture sector's overall resilience to changing challenges by providing farmers with intelligent systems that incorporate data-driven insights.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. "INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 2 2024 Page 793-798
MLA RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. "INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION." International Journal Of Advance Research And Innovative Ideas In Education 10.2(2024) : 793-798.
APA RAGAVI R, THIANESH G, DHIVYAAN S, & GAYATHRI K. (2024). INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION. International Journal Of Advance Research And Innovative Ideas In Education, 10(2), 793-798.
Chicago RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. "INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 2 (2024) : 793-798.
Oxford RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. 'INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, 2024, p. 793-798. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/INTELLIGENT_CROP_RECOMMENDATION_AND_FERTILIZER_PREDICITION_ijariie22821.pdf (Accessed : ).
Harvard RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. (2024) 'INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION', International Journal Of Advance Research And Innovative Ideas In Education, 10(2), pp. 793-798IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/INTELLIGENT_CROP_RECOMMENDATION_AND_FERTILIZER_PREDICITION_ijariie22821.pdf (Accessed : )
IEEE RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K, "INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 2, pp. 793-798, Mar-App 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/INTELLIGENT_CROP_RECOMMENDATION_AND_FERTILIZER_PREDICITION_ijariie22821.pdf [Accessed : ].
Turabian RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. "INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 2 ().
Vancouver RAGAVI R, THIANESH G, DHIVYAAN S, and GAYATHRI K. INTELLIGENT CROP RECOMMENDATION AND FERTILIZER PREDICITION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : ]; 10(2) : 793-798. Available from: https://ijariie.com/AdminUploadPdf/INTELLIGENT_CROP_RECOMMENDATION_AND_FERTILIZER_PREDICITION_ijariie22821.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Enhancing Historical Consciousness through Digital Storytelling among Grade 11 General Academic Strand Students of Purisima National High School”SOCIAL SCIENCECHARITY P. CANONIGO Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning,TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
WEALTH: YOUR SMART EXPENSE TRACKER AND FINANCIAL ADVISORInformation TechnologyPratiksha Mankar Download
SUVIDHA An E-commerce website for Local LaboursInformation Technology Aman Milind Mandape Download
Comprehensive Framework for Real-Time Hand Gesture Recognition on Mobile Platforms using Machine Learning, TensorFlow Lite, Keras, MediaPipe, OpenCV and NumPyInformation Technology / Computer Engineering / Machine LearningRoshani Rajesh khobragade Download
EDUNEXUS – A Student Development ApplicationInformation TechnologyNamrata Kanhole Download
Review on Festagram: An Event Management System for CollegesInformation science and engineeringAdarsh Download
Deep Learning Based 3D Object Detection and Pose EstimationComputer EngineeringPayal Behune Download
AI-Based Dynamic Route Generation and Optimization Using Real-Time Traffic and Road ParametersInformation Technology EngineeringAniket Ubale Download
SMART EXPIRY DATE TRACKER WITH FOOD RECOMMENDATIONSInformation Science and EngineeringMr Pradeep Nayak Download
A REVIEW ON ABSTRACTIVE MEETING SUMMARIZATION: TOWARDS SMARTER MEETING ASSISTANTSInformation Science and EngineeringKratika Sudarshan Halankar Download
A Review on Smart Appointment Scheduling Systems for Modern Hospital ManagementInformation Science and EngineeringDivya S Nayak Download
A Comprehensive Review of AI-Powered Resume Screening and Analysis SystemsInformation Science and EngineeringMr NAGESH U B Download
Stock Data Prediction and Visualization using Advanced Learning and Dash FrameworkInformation on Science and EngineeringMr Mounesh Download
BLOOD BANK AND DONOR MANAGEMENT SYSTEMInformation Science and Engineering Mr. Mounesh A Download
12