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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM31305
Volume:
8 |
4 |
Apr 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The primary objectives are to detect animals in the agricultural fields using AI-based image recognition, and to automate irrigation based on soil moisture levels and ambient temperature. this smart agriculture system enhances farm productivity by combining AI-based animal detection with automated irrigation control. The integration of cutting-edge technologies facilitates precision farming, leading to improved crop yields, reduced resource wastage, and increased overall sustainability in agriculture.
KEYWORDS
Publication Date
12/31/45402
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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