Paper Title
Technology for Viticulture Using Computer Vision and Machine Learning
Article Identifiers
Authors
DEEPTI SHARMA , Dr . Sumit Kumar
Keywords
Machine Learning, Computer Vision, Supervised and Unsupervised Learning, Medical Imaging, Pattern Recognition, Feature Extraction, Neural Network.
Abstract
The capacity to solve machine intelligence issues in their entirety is a result of the field of artificial intelligence's (AI) progress. Recently, the direct training of computers with minimal human contact has led to the rise in popularity of machine learning (ML). In today's world, the machine will learn automatically, replacing the previous situation of hand feeding. Features like feature extraction, pattern recognition, object identification, and classification are among the specific uses for supervised and unsupervised machine learning approaches.
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How To Cite (APA)
DEEPTI SHARMA & Dr . Sumit Kumar (March-2024). Technology for Viticulture Using Computer Vision and Machine Learning. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), d707-d718. https://ijnrd.org/papers/IJNRD2403395.pdf
Issue
Volume 9 Issue 3, March-2024
Pages : d707-d718
Other Publication Details
Paper Reg. ID: IJNRD_216227
Published Paper Id: IJNRD2403395
Downloads: 000121980
Research Area: Computer Science & TechnologyÂ
Country: SAHARANPUR, Uttar Pradesh, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2403395.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403395
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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Current Issue: Volume 10 | Issue 10 | October 2025
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