Success Cases

IIoT Solution for Smart Agriculture: SenseCAP LoRaWAN’s Environmental Monitoring for Sustainable Durian Farming in Malaysia

By Ye Seong SHIN 3 years ago

Seeed’s SenseCAP LoRaWAN devices enabled IIoT solution in Malaysia’s durian farming sector, tracking environmental growth conditions of the sensitive tropical fruit. The Project was successful in drastically decreasing the amount of human labor and natural resources, and predicting suitable irrigation patterns and pest control periods. Therefore, this Project directly and indirectly contributes to the UN’s SDGs 9, 12, 8, 2, 13, 16, 6, 7, 11 and 17.

Stanford University x Seeed: Open Source Haptic Device for Affordable Haptics Education for All

By Ye Seong SHIN 3 years ago

For Stanford University’s open source haptic device called Hapkit, Seeed designed and made an all-in-one controller board called “Hapkit Board” to reduce the costs on microcontrollers and amplifications that support the Hapkit. This Hapkit Project witnessed a dramatic cost reduction in building educational haptic devices compared to previous models, as well as facilitated convenient learning for learners without mechanical knowledge. In this way, this Project contributes to the UN’s SDGs 4, 5 and 17.

SenseCAP LoRaWAN Innovation for SDGs: Sweet Melons Grown at Smart Agriculture Demonstration Park in Beihai, China

By Ye Seong SHIN 3 years ago

Smart Agriculture Demonstration Park Project deployed Seeed’s SenseCAP LoRaWAN gateway and sensors for precision agriculture in a greenhouse of sweet melons, which is located in Beihai City of Southern China. Through the IIoT solution, improved resource efficiency and economic productivity have been observed, through which the Project seeks to achieve the UN’s SDGs 13, 3, 17, 10, 11, 9, 8, 2, 1, 4, 6, 7 and 12.

SenseCAP LoRaWAN IIoT Solutions for OPEN Global IoT Education Project for Future Jobs and Resilient Livelihoods

By Ye Seong SHIN 3 years ago

In the OPEN Global IoT Education Project, SenseCAP LoRaWAN IIoT solution has been deployed in order to help solve diverse local challenges for children and local communities towards a sustainable and resilient world. Through their participation, they are self-empowered to learn specific skills to prepare for newly emerging jobs in the future. In this way, the Project aims to achieve the UN’s SDGs 4, 5, 12, 11, 13, 9, 8, 17, 6, 7, 14, 15, 2 and 1.

Smart Tea Plantation in Mengding Mountain Enabled by SenseCAP LoRaWAN to Augment Resource Efficiency and Customer Trust for SDGs

By Ye Seong SHIN 3 years ago

SenseCAP LoRaWAN gateway and sensors were deployed in the IoTea Project to monitor crucial environmental data needed to ensure the optimal tea quality in Ya’an of Southwest China. Through this Project, the overall tea plantation management costs have been lowered, economic yields have been increased, and the tea plantation’s brand image has been upgraded to attract customers who care about food traceability and sustainability. By doing so, the IoTea Project achieves the UN’s SDGs 8, 9, 12, 10, 11, 1, 5, 6, 7, 2, 4, 13, 15, 16 and 17.

SenseCAP LoRaWAN in Triticale Farming: Precision Agriculture and Sustainable Livelihood Development in Dingzhou, Northern China

By Ye Seong SHIN 3 years ago

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.

Smart Greenhouse for Sustainable Agriculture: SenseCAP LoRaWAN Enables Tropical Fruit Cultivation in Northern China

By Ye Seong SHIN 3 years ago

Laiwu Tropical Fruit Cultivation Project portrays a successful case of our SenseCAP LoRaWAN series applied to smart greenhouse farming of tropical fruits in Northern China. Through this Project, Northern farmers are equipped with new knowledge on automated greenhouse control, and the value of precision farming. By doing so, the Project can positively influence the UN’s SDGs 10, 2, 1, 8, 9, 12, 11, 16, 13 and 17.

Field-Ready IIoT Solution: Precision Animal Husbandry Enabled by Seeed’s SenseCAP LoRaWAN Hardwares and Machinechat’s JEDI One Software

By Ye Seong SHIN 3 years ago

In order to accelerate precision farming to maintain an optimal level of environmental conditions tailored to the growth and health of livestock in multiple housing sites, Seeed and Machinechat collaborated to make a ready-to-be-deployed IIoT solution, that measures, transfers, aggregates, and visualizes the real-time environmental data of temperature, humidity, light intensity, and air quality.

Cherry Tomato Plantation with SenseCAP LoRaWAN: Smart Farming at Greenhouse for SDGs in the Netherlands

By Ye Seong SHIN 3 years ago

Autonomous Greenhouse Challenge Project illustrates a case on AI and IoT-enabled cherry tomato production at a greenhouse enabled by Seeed’s SenseCAP LoRaWAN sensors and gateway. Thereby, this Project can contribute to technological innovation of the traditional agriculture sector, help cultivate sustainable food produce by lowering negative environmental impacts, and enhance the UN’s SDGs 2, 1, 8, 9, 12, 13 and 17.

SenseCAP Smart Environmental Monitoring Empowers Rural Agriculture & Tourism for SDGs in Heyuan, China

By Ye Seong SHIN 3 years ago

Xiankeng Village Project describes how Seeed’s partnership with Vanke has contributed to China’s rural revitalization efforts, by helping out rural farmers to monitor their rice paddies more intelligently, and to encourage local tourism in order to enhance their livelihoods. By using the SenseCAP IIoT solution, this Project seeks to contribute to the UN’s SDGs 1, 8, 9, 11 and 17.

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