Success case
SenseCAP LoRaWAN in Triticale Farming: Precision Agriculture and Sustainable Livelihood Development in Dingzhou, Northern China
Beishao Triticale Field Project elaborates on a deployment scenario of SenseCAP LoRaWAN gateway and sensors for smart agriculture solutions in a triticale field of Dingzhou City in Northern China. This will advance resource-efficiency, environmental traceability, and sustainable technological applications on the field. As a result, this will facilitate self-empowerment of the farmers to manage their triticale fields more precisely by grasping the crop’s conditions and needs with less labor inputs, and later gain higher yields. Overall, this Project contributes to the UN’s SDGs 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12 and 17.
- Industry
- Agriculture
- Region
- 河北定州·麦田试点
- Application
- Triticale Field Management
- Results
- 1 year Stable Device Operation
Project background and needs
In 2019, Seeed partnered with Beishao Collective Share Cooperative and a Beijing-based agricultural system integrator to deploy a smart agriculture system in a triticale field in Dingzhou, Hebei, collecting environmental data that affects crop growth.
- The cooperative wanted to improve resource allocation, environmental monitoring, and field management on the pilot field.
Field Management Effort
- Field management required a great deal of time.
- The cooperative also needed to invest significant manual labor.
Field management needed remote data and automation.
Access to Technical Support
- Many smallholder farmers lack technical resources.
- Insufficient technical support made it difficult for farmers to use digital agriculture data.
Environmental monitoring needed to be brought to traditional outdoor farming through a technology partnership.
Solution and architecture
Sensing and Transmission
SenseCAP LoRaWAN sensors collect soil and weather data, transmit it through a gateway to the cloud server, and display it on a web platform.
Irrigation and Observation
The system triggers the water pump based on soil moisture and also allows manual control from the web platform; cameras and sensors help assess field conditions.
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