AgriAqua Intelligence: A Holistic Approach to Smart Farming for Sustainable Water Management

Main Article Content

Waqas Ali
Addepalli Lavanya
Dr. Jaime Lloret

Abstract

Ensuring sustainable water management in agriculture is crucial. This research introduces AgriAqua Intelligence, a novel framework that integrates artificial intelligence (AI) with agricultural and hydrological data to achieve holistic smart farming. AgriAqua Intelligence utilizes AI models to analyze real-time and historical data from sensor networks, including weather patterns, soil moisture levels, and crop health. This data is used to generate data-driven irrigation recommendations, optimizing water usage and minimizing waste. Furthermore, the framework incorporates AI for yield prediction and crop health monitoring, allowing for informed decision-making and timely interventions. AgriAqua Intelligence is designed to seamlessly integrate with existing precision agriculture practices, fostering a comprehensive smart farming ecosystem. The framework's performance is evaluated using a comprehensive dataset encompassing various field conditions. Evaluation metrics include irrigation water saving percentages and yield prediction accuracy. Results demonstrate that AgriAqua Intelligence achieves significant improvements in water efficiency and crop yield prediction compared to traditional methods. By promoting sustainable water management practices, AgriAqua Intelligence has the potential to revolutionize agricultural operations and contribute to global water security.

Article Details

How to Cite
[1]
Waqas Ali, Addepalli Lavanya, and Dr. Jaime Lloret, “AgriAqua Intelligence: A Holistic Approach to Smart Farming for Sustainable Water Management”, Int. J. Comput. Eng. Res. Trends, vol. 11, no. 2, pp. 61–68, Feb. 2024.
Section
Research Articles

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