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Academic Journal of Engineering and Technology Science, 2020, 3(7); doi: 10.25236/AJETS.2020.030710.

Research on Accurate Perception of Crop Growth Environmental Factors in Facilities


Gongao Hou, Xu Jian*, Guan Feng, Shang Haodong

Corresponding Author:
Xu Jian

Modern Agricultural Industrial Technology System, Beijing Innovation Team, Grain Economy Crop Team, School of Computer and Information Technology Engineering, Beijing University of Agriculture, Beijing 102206, China


In view of the extensiveness of the current greenhouse facility sensing system and the lack of standardization of sensor equipment layout, an algorithm for accurately sensing the environmental factors of crop growth in the facility and a set of sensor layout solutions are proposed. The perception algorithm is based on the application of adaptive data fusion in industry. The algorithm is improved and simplified to a certain extent to fully adapt to the environment of agricultural facilities, and a set of sensor equipment layout schemes in practical applications are proposed for the environment of agricultural facilities. . This paper simulates the effect of the algorithm and the robustness of the greenhouse work. The results show that compared to using the average as the control method, the improved algorithm can more accurately obtain the value of the crop growth environment factor, and can cause abnormalities in the sensor equipment. Maintain the stable operation of the facility for a certain period of time.


Greenhouse facilities; Accurate perception; Layout plan; Adaptive; Robustness

Cite This Paper

Gongao Hou, Xu Jian, Guan Feng, Shang Haodong. Research on Accurate Perception of Crop Growth Environmental Factors in Facilities. Academic Journal of Engineering and Technology Science (2020) Vol. 3 Issue 7: 99-107. https://doi.org/10.25236/AJETS.2020.030710.


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