ABSTRACT
Strawberry planting has a rich history in China, with a recent surge in its areas nationwide. However, the current state of intelligence in strawberry planting and production management in China remains relatively low. This paper mainly introduces a self-developed monitoring system for environmental variables of strawberry planting based on NB-IoT technology, which can automatically collect, transmit, and store environmental data such as soil temperature and humidity, air temperature and humidity, carbon dioxide concentration, and light intensity. The system establishes a strawberry growth environmental variable database, growth data maps, and an environmental regulation model, to realize automatic control of environmental variables and transmit real-time information to user data terminals. The implementation of this system has certain economic benefits and social significance for improving the automatic production conditions of strawberry planting, promoting agricultural precision, and facilitating the transition towards new kinetic energy.
- Sun T. S., Zhu X. H., Cheng L., Hou Y. Y., Zhang Y. Intelligent Strawberry Garden Monitoring System Based on Internet of Things Technology [J]. China New Communication, 2015, 17 (16): 98-99.Google Scholar
- Yang C. J., Shen L., Zhao M., Yang B. Application analysis of Internet of Things technology in strawberry planting [J]. China High-tech Enterprises, 2016 (35): 48-49.Google Scholar
- Shana B. “True Sustainability”: An Environmental, Worker, and Consumer History of Organic Strawberry Farming in 1990s California[J].Agricultural History, 2021, 95(3):500-530.Google Scholar
- Pablo J G ,Antonio T .Energy consumption analytical modeling of NB-IoT devices for diverse IoT applications[J].Computer Networks, 2023, 232.Google Scholar
- Montoya A., Obando F., Osorio J., Design and implementation of a low-cost sensor network to monitor environmental and agronomic variables in a plant factory[J].Computers and Electronics in Agriculture, 2020, 178105758-.Google Scholar
- Shuo Z., Yongfei Y., Zhihui B., Design of environmental monitoring system based on 4G Internet of things[J].Journal of Physics: Conference Series, 2022, 2260(1).Google Scholar
- D.N. Z., D.L. Z. Environmental Monitoring System in Solar Greenhouse Based on Stm32 and Gprs[J].Chemical Engineering Transactions (CET Journal), 2016, 51.Google Scholar
- Yang J., Xu Z., Sun Q. Research and Design of Greenhouse Environment Monitoring System Based on NB-IoT [C]//Northeastern University, Cyberphysical Systems Control and Decision Professional Committee of China Automation Society. Proceedings of the 33rd China Control and Decision Conference (3). School of Advanced Manufacturing Engineering, Hefei University, 2021: 6. DOI: 10.26914/c.cnkihy.2021.026951Google ScholarCross Ref
- C. S. Implementation of an Automated Greenhouse [J]. The Scientific Bulletin of Electrical Engineering Faculty, 2022, 22(2):1-9.Google ScholarCross Ref
- Yang J., Xu Z., Sun Q. Research and Design of Greenhouse Environment Monitoring System Based on NB-IoT [C]//Northeastern University, Cyberphysical Systems Control and Decision Professional Committee of China Automation Society. Proceedings of the 33rd China Control and Decision Conference (3). School of Advanced Manufacturing Engineering, Hefei University, 2021: 6. DOI: 10.26914/c.cnkihy.2021.026951.Google ScholarCross Ref
Index Terms
- Design and Application of Monitoring System for Environmental Variables of Strawberry Planting Based on NB-IoT Technology
Recommendations
Seasonal-based analysis of vegetation response to environmental variables in the mountainous forests of Western Himalaya using Landsat 8 data
The health or greenness of the mountainous vegetation varies with seasons depending on its type and local topographic and climatic conditions. The forests in the Western Himalayas are influenced by variables such as precipitation and temperatures ...
Mapping rice planting areas in southern China using the China Environment Satellite data
The objective of this research is to investigate the potential of application of China Environment Satellite HJ-1A/B in monitoring rice cultivation areas in Guangdong province in southern China. Information on the rice cultivation areas is of global ...
Field detection of anthracnose crown rot in strawberry using spectroscopy technology
In-field hyper spectral detection of strawberry anthracnose crown rot.33 vegetation indices were investigated with three classification algorithms.Average in-field detection accuracy was 74% for asymptomatic and symptomatic samples. Anthracnose crown ...
Comments