Earticle

초록

영어

The integration of technology into agriculture crop recommendation and Prediction has significantly transformed local and global agricultural productivity. Machine learning, has played a crucial role in refining this technology, offering substantial benefits to farmers, especially those operating on a small-scale farming. By using various algorithms, these technological tools have become highly effective, enabling precise predictions with minimal deviation in expected crop growth. This research highlights how different machine learning models, typically used individually, can be integrated to enhance device programming. The study underscores the impact of information technology on agriculture, demonstrating how ensemble algorithms can empower the industry to consistently achieve targeted production levels.

목차

Abstract
I. INTRODUCTION
II. LITERATURE REVIEW
III. METHODOLOGY
A. Dataset Collection
B. Feature Extraction
C. Dataset Split
D. Algorithm Application
E. Recommendation System
F. Recommended Crop
IV. DATASET DESCRIPTION
A. Algorithm Selection
V. RESULTS AND DISCUSSION
VI. CONCLUSION
REFERENCES

저자

• Armughan Ul Haq Bazigh [ Department of Computer Science, Lahore Garrison University, Lahore, Pakistan ]
• Hasnain Haider [ Department of Computer Science, Lahore Garrison University, Lahore, Pakistan ]
• Sadaf Hussain [ Department of Computer Science, Lahore Garrison University, Lahore, Pakistan ]
• Tanweer Sohail [ Department of Mathematics, University of Jang, Lahore, Pakistan ]
• Muhammad Adnan Khan [ School of Computing, Skyline University College, Sharjah, UAE RISC, Riphah International University, Lahore Campus, Lahore, 54000, Pakuistan. ]

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