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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM33496
Volume:
8 |
5 |
May 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 survey paper on innovations in precision agriculture for autonomous weed elimination and spraying management delves into the transformative impact of advanced technologies on farming practices. By focusing on autonomous weed detection and elimination as well as precise spraying management, the paper highlights the potential of autonomous systems to revolutionize weed control, reduce labor costs, and enhance crop productivity. Through the integration of cameras, deep learning models, and sophisticated spraying technologies in autonomous vehicles, this research underscores the shift towards more efficient, sustainable, and environmentally friendly agricultural practices. The synergy between autonomous weed elimination and precision spraying management not only improves operational efficiency but also contributes to higher yields, reduced chemical usage, and enhanced environmental stewardship in agriculture.
KEYWORDS
Publication Date
12/31/45419
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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