Implementation of Smart Agriculture Using Cloud Computing for Agricultural Data Management
Keywords:
Keywords: smart agriculture, cloud computing, Internet of Things, agricultural data management, precision agricultureAbstract
Advances in digital technology are driving the transformation of the agricultural sector toward data-driven systems; however, agricultural data management still faces challenges in terms of integration, accessibility, and efficiency. Objective: This study aims to implement a cloud-based smart agriculture system to improve the effectiveness of real-time agricultural data management. Methods: This study employs an experimental approach by designing and implementing an Internet of Things (IoT)-based system integrated with a cloud platform, followed by performance testing of the system, including sensor accuracy, data transmission reliability, and information accessibility. Results: The results indicate that the system can transmit data with a success rate exceeding 95% and low latency, while generating accurate data with minimal deviation from field conditions. The system also improves resource efficiency, particularly in irrigation management based on soil moisture data. Conclusion: The implementation of a cloud-based smart agriculture system has proven effective in enhancing the quality of agricultural data management, although challenges remain in network and security aspects that require further development.
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