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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM37725
Volume:
8 |
10 |
Oct 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 early detection of plant diseases is crucial for effective management in agriculture. This paper explores various methodologies for early disease identification, the implications of timely interventions on crop yield, and the overall impact on agricultural sustainability. Emphasis is placed on technological advancements such as remote sensing, machine learning, and traditional practices. The findings indicate that integrating early detection strategies can significantly mitigate losses, enhance productivity, and promote environmental sustainability.
KEYWORDS
Publication Date
2/9/2024
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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