"Smart Agriculture" The development of science and technology in recent decades has given birth to the wonder of high efficiency in the industry, but agriculture does not seem to have changed. The helplessness of eating every day is about to be replaced by smart agriculture. Through intelligent hardware, Internet of Things, and big data technology, the traditional agricultural greenhouses are upgraded and transformed, and a whole-process intelligent and efficient monitoring and control management system is constructed to realize scientific guidance of ecological crop rotation and ensure crops. High-yield, high-quality, ecological, and safe; establish an online operation and traceability system to improve farmers economic and brand benefits.Smart agriculture will transform and improve traditional agriculture from production management, storage and transportation, and market sales.
Some IoT manufacturers do not have much experience in big data software development and lack corresponding technical talents. In building the entire smart IoT solution, key modules such as data analysis, visualization, and algorithm platforms are missing. Many excellent IoT solution manufacturers have developed various sensor networks suitable for crop monitoring. With the help of advanced LoRA or NB-IOT protocols, sensor networks can be easily constructed for crop detection, control and management.
Core advantages description
Core advantages description
Solution manufacturers use their own sensor networks to build the perception layer of the agricultural Internet of Things, so as to realize real-time monitoring and management control of the greenhouse, and integrate the real-time database of cloud manufacturers or the time series database to record and store monitoring data.
The work of the data application layer is handed over to DataFocus. You can directly read the IoT real-time database, or extract the data into the data warehouse of DataFocus, so as to construct your own data application platform. The DataFocus data application layer includes data analysis capabilities such as reporting system, visual analysis, Ad-Hoc analysis, and intelligent insight, as well as algorithm development and integration.
The work of the data application layer is handed over to DataFocus. You can directly read the IoT real-time database, or extract the data into the data warehouse of DataFocus, so as to construct your own data application platform. The DataFocus data application layer includes data analysis capabilities such as reporting system, visual analysis, Ad-Hoc analysis, and intelligent insight, as well as algorithm development and integration.
Users are unaware of sensor networks. Only by analyzing and displaying the data generated by these sensors can the real value of smart agriculture be reflected. After the data is connected to DataFocus, solution manufacturers can customize and develop various data visualization large screens according to the needs of users without writing any code.
Using DataFocus' easy-to-use search-based analysis technology, farmers can easily analyze various dimensions and generate data reports. Solution manufacturers can greatly improve the technical content of their products and increase their competitiveness through this innovative technology.
DataFocus can be easily deployed, whether it is on the user's private cloud platform, Alibaba Cloud, Amazon Cloud, or Microsoft's Azure, it can be quickly deployed.
Make data analysis easier!
From the very beginning, it has positioned itself as an excellent provider of smart agricultural solutions. They have very rich experience in IoT development and also have their own hardware modules. For them, to create a complete smart agriculture solution, it is also necessary to integrate an excellent data application platform. Although completely independent development can be achieved, the cost is too high, and it is not the company's technical advantage.
Thanks to DataFocus' no-code search-based analytics technology, they can even customize large-screen visualizations for their clients without adding any cost, which gives them a huge competitive advantage. The algorithm integration platform of DataFocus also provides good scalability support for subsequent upgrades of their projects.