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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM24792
Volume:
7 |
7 |
Jul 2023
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.
In the pursuit of sustainable agriculture, there is an increasing need for technological solutions that can empower farmers with data-driven insights to optimize resource management and enhance crop productivity. This paper presents the development and implementation of a state-of-the-art location-based agriculture management system (LBAMS) aimed at assisting farmers in making informed decisions for sustainable farming practices. The LBAMS leverages geospatial technologies, such as global positioning systems (GPS) and geographic information systems (GIS), to accurately map agricultural fields and visualize farm landscapes. By integrating real-time geolocation data, the system provides farmers with a holistic view of their farm operations, enabling precise identification of areas with unique characteristics and needs. Central to the LBAMS is a comprehensive suite of crop management tools that facilitate data collection, analysis, and visualization of crucial agricultural information. Farmers can monitor crop varieties, growth stages, irrigation schedules, and soil health parameters in a dynamic and user-friendly interface. This data-driven approach empowers farmers to optimize input usage, minimize wastage, and implement precision farming techniques to achieve sustainable yields.
KEYWORDS
Publication Date
7/24/2023
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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