What is edge computing?
Edge computing is a distributed computing framework in which all computing processes occur at the edge (where information collection and use occurs) rather than in a central location. Edge computing relies on edge devices such as routers, robots, sensors, and Internet of Things (IoT) gateways to filter and analyze data locally.
How is edge computing used in smart agriculture?
1. Crop management
With edge computing, farmers can automatically collect and analyze data from soil and sensors. This real-time processing and low-latency connection enable them to understand crop status as early as possible, optimize fertilization, and improve irrigation.
2. Weather forecast
The weather in nature changes quickly. Edge computing is used in smart agriculture to predict future weather changes and make preparations in advance. Sensors can analyze local temperature, light, humidity and air pressure data, allowing workers to predict storms, rainstorms or temperatures.
3. Livestock management
By using a series of edge devices, farmers can monitor the health of livestock and issue early warning signals. At the same time, remote grazing and supervision can also be achieved through drones or other automated equipment.
4. Predictive maintenance
Edge devices installed on agricultural equipment can monitor real-time vibration, movement, temperature and other information of the equipment. They can quickly filter, process and analyze data locally, so these devices can immediately report any fault data. This allows the equipment to be maintained in advance before the machine needs to be damaged.
What are the advantages of edge computing in smart agricultural applications?
Although agriculture is one of the largest and most critical industries in the world, the development of automation technology is the slowest.
1. Reduce costs
Farmers can avoid paying cloud-related fees and bandwidth usage fees through edge computing. It can also save farmers’ labor costs by optimizing automated agricultural equipment.
2. Increase crop yields
Edge computing’s enables automated agricultural equipment to better adapt to the environment. Faster harvesting, more accurate environmental detection and optimized harvesting routes can increase crop yields.
3. Sustainability
Compared with equipment that relies on remote data centers, locally processed equipment greatly reduces wasted energy resources. In addition, they can also optimize other connected devices, further improve utilization, and improve the sustainable development of equipment and energy.
4. Reduce resource waste
Edge devices that monitor soil can accurately determine when crops need watering or fertilization by tracking the content of substances such as phosphorus, nitrogen, and potassium in real time, optimize irrigation and fertilization, and reduce resource waste.
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