We’re happy to launch “#Tech4Good Bounty Program” – an ALL-YEAR-ROUND IoT product sponsorship program to upgrade your already built-up prototypes with our industrial-grade IoT products. We’re focusing on topics such as science, meteorology, conservation, agriculture, industrial digitalization, and more. Apply today!
Marine Litter Detective is a GPS-tracking device for monitoring marine pollutants, such as plastics and oil spills. This was developed by WWF Hong Kong in cooperation with MakerBay and Seeed. As a result, this Project has enabled the tracking of the origins and whereabouts of trash floating on the water surface (and inside the marine ecosystem), which disclosed how the marine litter ends up in the ocean from the land. Consequently, the Project can positively influence the UN’s SDGs 14, 6, 3, 17, 13, 11, 12, 4, 9 and 16.
Through collaborating with FFA and Seeed, Microsoft developed “FarmBeats for Students Program” to facilitate technological empowerment of young people to learn about AI, Machine learning, and IoT in agriculture. This affordable, hands-on and learning-by-doing education can enable the students to understand automatic irrigation and fertilization applications, crop yield prediction, and pragmatic tools to tackle the world’s hunger issues. Thereby, this Program seeks to accelerate the UN’s SDGs 2, 10, 4, 1, 5, 9, 8, 6, 7, 12, 11, 13 and 17.
In an effort to assist decentralization of digital education for rural children in India, Seeed donated open hardware products to Janwaar village, where the children and youth were inspired to learn coding and programming for the first time in their lives. Through embracing the learning principle of hands-on, DIY, and collaborative learning, they were self-empowered to have the ownership of technological tools, and to tackle gender inequality and casteism at village level. On this backdrop, this “Janwaar Maker Space in the Making” Project directly or indirectly accelerates the UN’s SDGs 4, 5, 10, 11, 9, 1, 17, 8 and 16.
In order to resolve the world’s oil spill issues caused by the Deepwater Horizon Disaster in the Gulf of Mexico, Protei (a wind-powered and automated sailing fleet robot) was developed by MakerBay and Seeed. By shifting its shapes according to water waves and wind directions, the robot has been useful in collecting and cleaning thin sheens of light oil on water surfaces. Thanks to the fact that it is robustly built to survive in harsh weather conditions and hazardous chemical zones, it is now also used to clean material wastes and other chemical pollutants in the ocean. Now, Protei is the ongoing result of glocal open innovation communities. Accordingly, this Project seeks to achieve the UN’s SDGs 6, 14, 11, 15, 3, 1, 7, 9, 8, 12, 13 and 17.
Figure 1. Mr. Eric Pan’s Participation at UN ITU’s AI for Good Event and His Speech
“AI for Good” (Figure 1) is an annual blockbuster series of activities organized by the
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 Poultry Farming Project depicts how SenseCAP LoRaWAN gateway and sensors are transforming the traditional animal husbandry industry sustainably, by harnessing IoT environmental sensing and monitoring for environmental variables of poultry farms. This Project seeks to advance the UN’s SDGs 2, 3, 4, 8, 6, 7, 9, 12, 13 and 17.
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.
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.
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.