Bittle pet robot dog presented at the ELEXCON International Electronics Show and Embedded Systems Show in Shenzhen
From September 27th to 29th, ELEXCON Shenzhen International Electronics Fair & Embedded Systems Fair was
Month: September 2021
Welcome to the Future: SenseCAP LoRaWAN Devices Deployed for Poultry Farming Accelerate Sustainable Animal Husbandry
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.
Smart Greenhouse for Sustainable Agriculture: SenseCAP LoRaWAN Enables Tropical Fruit Cultivation in Northern China
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.
What Is Yocto? Why Should You Use Yocto for Embedded Linux Applications
Yocto Project is a cool open-source community project that allows you to build your own
Field-Ready IIoT Solution: Precision Animal Husbandry Enabled by Seeed’s SenseCAP LoRaWAN Hardwares and Machinechat’s JEDI One Software
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.
Run TensorFlow model on reTerminal with TensorFlow Lite Runtime
TensorFlow Lite is a set of tools that enables on-device machine learning by helping developers
Cherry Tomato Plantation with SenseCAP LoRaWAN: Smart Farming at Greenhouse for SDGs in the Netherlands
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.
Ready to Deploy Solution: Seeed’s SenseCAP and Machinechat’s JEDI One Together Optimizes Greenhouse Operations
Seeed’s IIoT devices – SenseCAP LoRaWAN sensors and gateway – that measures and transfers the data of temperature, humidity, moisture and light intensity – and Machinechat’s software platform (JEDI One) collaborated to accelerate development and deployment of various environmental-monitoring scenarios to optimize greenhouse operations.
Arduino Fun Projects Roundup with Grove Kits: Tutorials, Reviews, and Community Feedback
Arduino boards are something Seeed’s community has been passionate about for years. With Seeed’s mission
And the Winners Are…
But this means good news for some of you because we selected 10 lucky STEAM educators as winners.
SenseCAP Smart Environmental Monitoring Empowers Rural Agriculture & Tourism for SDGs in Heyuan, China
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.
IIoT Solution for SDGs: Food Traceability for Smart Supply Chain Management Enabled by SenseCAP LoRaWAN in Shenzhen, China
Baoneng Cold Chain Warehouse Project introduces how Seeed’s SenseCAP series is helping food industry players to manage their products intelligently and safely to reduce time, resources, and wastes, and to contribute to the UN’s SDGs 12, 3, 9 and 17.