Learn TinyML using Wio Terminal and Arduino IDE #6 Speech recognition on MCU – Speech-to-Intent
A traditional approach to using speech for device control/user request fulfillment is first, to transcribe
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news – product updates
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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.
Smart Home with Node-RED on OpenWrt
Introduction This blog will talk about how you can control your smart home appliances using
Fast(er) Machine Learning Inference on Raspberry Pi SBC – Four optimization techniques
A while ago I made a video on semantic segmentation with new Raspberry Pi HD
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
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.