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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM40681
Volume:
9 |
1 |
Jan 2025
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.
This paper presents the development of an innovative mobile application designed to assist farmers by providing critical information for optimizing agricultural productivity. The app integrates three core functionalities: soil health analysis, monsoon prediction, and a marketplace for buying and selling crops. Soil health analysis uses advanced algorithms to assess soil quality, offering recommendations for improved crop growth. The monsoon prediction feature leverages meteorological data to forecast rainfall patterns, enabling farmers to plan for planting and irrigation more effectively. Additionally, the app’s buy-sell module facilitates direct trade between farmers, enhancing market accessibility and ensuring fair pricing. Through empirical testing and user feedback, the app demonstrated significant potential in improving farm management practices, increasing crop yields, and enhancing financial outcomes for farmers. This research underscores the importance of integrating technology into agriculture, offering a sustainable and data-driven solution to modern farming challenges.
KEYWORDS
Publication Date
10/31/2025
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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