Revolutionizing farming operations, the AI (Artificial Intelligence)-Driven Farm era System uses predictive analytics, geo-integrated monitoring, and smart resource allocation. For optimal efficiency and production, this technology analyzes past data and current patterns using sophisticated AI algorithms, so farmers can make smart choices. The system allows farmers to react quickly to changes and reduce risks by using GIS technology to monitor weather patterns, Monitor soil conditions and crop yields in live updates. In addition, the smart resource allocation function automates input adjustments based on insights derived from data analysis., optimizing the usage of pesticides, water, and fertilizers. This reduces waste and environmental effect. The Streamlit platform's user-friendly design makes it simple for farmers to use the system, giving them the ability to run their farms in a sustainable and efficient manner. The Farm_era System ushers in the next generation of farming with insights powered by artificial intelligence, precise monitoring, and the optimization of resources.
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31 January 2025
INTERNATIONAL CONFERENCE ON ROBOTICS, AUTOMATION, AND INTELLIGENT COMPUTING: ICRAIC 2K24
18–19 May 2024
Pune, India
Research Article|
January 31 2025
AI-Driven farm_era system: Predictive analytics, geo-integrated monitoring, and smart resource allocation using streamlit
Muthe Raghava Varma;
Muthe Raghava Varma
a)
1
Department of Computing Technologies, SRM Institute of Science and Technology
, Kattankulathur, Chennai, India
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Kapalavai Sai Manikanta;
Kapalavai Sai Manikanta
b)
1
Department of Computing Technologies, SRM Institute of Science and Technology
, Kattankulathur, Chennai, India
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Padmini Sankaramurthy;
Padmini Sankaramurthy
c)
1
Department of Computing Technologies, SRM Institute of Science and Technology
, Kattankulathur, Chennai, India
c)Corresponding Author: [email protected]
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Sunil Thomas;
Sunil Thomas
d)
2
Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science
, Pilani, Dubai campus, United Arab Emirates
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Nithiyananthan Kannan
Nithiyananthan Kannan
e)
3
Department of Electrical Engineering, King Abdulaziz University
, Rabigh, Saudi Arabia
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c)Corresponding Author: [email protected]
AIP Conf. Proc. 3255, 020007 (2025)
Citation
Muthe Raghava Varma, Kapalavai Sai Manikanta, Padmini Sankaramurthy, Sunil Thomas, Nithiyananthan Kannan; AI-Driven farm_era system: Predictive analytics, geo-integrated monitoring, and smart resource allocation using streamlit. AIP Conf. Proc. 31 January 2025; 3255 (1): 020007. https://doi.org/10.1063/5.0254420
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