Agricultural Greenhouse Crop Information System based on Big Data and Cloud Computing Technology
DOI:
https://doi.org/10.54097/hset.v24i.3882Keywords:
Agricultural Greenhouse; Information System; Big Data.Abstract
With the further promotion of urbanization in China, the arable land area in China is decreasing year by year, and it is very important to make full use of the existing land resources. At present, most areas in northern China have greenhouses. Since temperature, humidity, light, and CO2 concentration directly affect the yield of crops, how to provide a suitable environment for crops to grow in greenhouses is a topic worth investigating.
Downloads
References
Kalyani, Y. and R. Collier, A Systematic Survey on the Role of Cloud, Fog, and Edge Computing Combination in Smart Agriculture. Sensors, 2021. 21(17): p. 5922.
Amani, M., et al., Comprehensive review on dehumidification strategies for agricultural greenhouse applications. Applied Thermal Engineering, 2020. 181(1164).
Abhishek, A., et al., Evaluating the Impacts of Drought on Rice Productivity over Cambodia in the Lower Mekong Basin. Journal of Hydrology, 2021: p. 126291.
Das, S., S. Chatterjee, and J. Rajbanshi, Responses of soil organic carbon to conservation practices including climate-smart agriculture in tropical and subtropical regions: A meta-analysis. Science of The Total Environment, 2022. 805: p. 150428-.
Liu, W., Smart sensors, sensing mechanisms and platforms of sustainable smart agriculture realized through the big data analysis. Cluster Computing, 2021(12).
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







