Implementation of Artificial Intelligence in Agriculture

Registration ID: IJNRD_208800

Published ID: IJNRD2311286

DOI: Click Here to Get

Shubham Tapkir , Abhishek Vathare , Prafull Suryawanshi

Artificial Intelligence; Agriculture; Smart Farming; Agricultural Innovation; Crop Management: Precision Agriculture; Farm Automation; Yield Prediction.

As worldwide population continues to grow, the demand for food production is increasing, needing new and interesting solutions to improve farming-based practices. This research paper explores the super-important hit/effect of Artificial Intelligence on farming, focusing on its role in crop management. The combination of different things together that work as one unit of AI technologies, such as machine learning sets of computer instructions, computer vision, and sensor networks, holds huge possible ability to totally change and improve traditional farming methods. This research contributes to the evolving discourse on the intersection of AI and agriculture, offering insights into the practical implications, challenges, and opportunities for sustainable and technologically enhanced farming practices.

Published Paper   E-Certificate

Shubham Tapkir, Abhishek Vathare, & Prafull Suryawanshi (November-2023). Implementation of Artificial Intelligence in Agriculture . INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(11), c700-c706. https://ijnrd.org/papers/IJNRD2311286.pdf

Volume 8 Issue 11, November-2023

Pages : c700-c706

Paper Reg. ID: IJNRD_208800

Published Paper Id: IJNRD2311286

Downloads: 000121982

Research Area: Computer Science & Technology 

Country: Pune, Maharashtra, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311286.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311286

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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Call For Paper - Volume 10 | Issue 10 | October 2025

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