Investigation of a cloud platform-based control system for an integrated water and fertilizer machine

Zhongxing Yu; Shuguang Sang; Yihua Zhou; Yingying Dai; Lu Zhang; Hanqing Ouyang

doi:10.1117/12.3030743

5 June 2024 Investigation of a cloud platform-based control system for an integrated water and fertilizer machine

Zhongxing Yu, Shuguang Sang, Yihua Zhou, Yingying Dai, Lu Zhang, Hanqing Ouyang

Proceedings Volume 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024); 131636M (2024) https://doi.org/10.1117/12.3030743
Event: International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 2024, Xi'an, China

Abstract

This article introduces the design and research of a cloud based integrated water and fertilizer control system, aiming to achieve intelligent management of agricultural water and fertilizer resources through the integration of Internet of Things technology and cloud computing. The system utilizes sensor networks to monitor soil and environmental parameters in real-time, and uploads data to the cloud for processing. The cloud platform analyzes data and automatically adjusts irrigation and fertilization strategies to optimize resource utilization and increase crop yield. Users can monitor the condition of farmland through mobile applications, manually adjust plans, or query historical data. The experimental results indicate that the system can effectively improve agricultural production efficiency and crop quality, which is of great significance for achieving precision agriculture.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhongxing Yu, Shuguang Sang, Yihua Zhou, Yingying Dai, Lu Zhang, and Hanqing Ouyang "Investigation of a cloud platform-based control system for an integrated water and fertilizer machine", Proc. SPIE 13163, Fourth International Conference on Mechanical, Electronics, and Electrical and Automation Control (METMS 2024), 131636M (5 June 2024); https://doi.org/10.1117/12.3030743

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