| Citation: |
MAO Yuanyang, CHEN Fangling, BIAN Zhiyi, et al. Management model and system based on fuzzy control for production environment of facility flowering Chinese cabbage[J]. Journal of South China Agricultural University, 2024, 45(1): 127-136. DOI: 10.7671/j.issn.1001-411X.202209034
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To achieve real-time monitoring and precise regulation of the growing environment of facility flowering Chinese cabbage, a growing environment management model and system based on fuzzy control was designed.
The system used Internet of Things equipment to monitor environmental factors (atmospheric temperature, soil temperature, soil moisture, and soil electrical conductivity) information in real-time at seed germination period, leaf growth period and stalk formation period, and compared the monitored values with the values of suitable range of the parameters to obtain the deviation of each environmental factor and its change rate. The management model used a combination method of fuzzy reasoning and qualitative analysis to optimize the control amount of environmental factors, determined the regulation decision of environmental regulation equipment, and achieved the precise regulation of environmental factors.
The comparison tests of the management modes showed that the average real-time control performance of the control system mode was 0.10, 0.17, and 0.18, and the average accuracy was 0.78, 0.68, and 0.74 respectively in the three growth stages; The average real-time control performance of the manual management mode was 0.37, 0.41 and 0.43, and the average accuracy was 0.31, 0.34 and 0.30, respectively. The average real-time performance and accuracy of the management system were improved by 62.50% and 1.34 times respectively compared with the manual management mode.
This management system can realize the real-time acquisition and accurate regulation of the production environment information, and help users better manage the production of the facility flowering Chinese cabbage.
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