Features Easy-to-use and low-cost hardware kit: combines an affordable hardware kit with FREE curriculums and activities for students hands-on experience in precision agriculture techniques to food production. New tools for
STEAM Education learners: students learn about AI, Machine learning, and IoT by building a garden monitoring system. Easily use with
Raspberry Pi 4: with atmospheric and environmental sensors to understand their soil's health, analyze data, and make decisions.
Real-time data collection: The student-built IoT devices connect to custom Microsoft Excel workbooks that collect real-time data using Excels Data Streamer. Building your own Machine
Learning models: using Lobe. ai, students apply the technique to predict nutrient deficiencies in their plants and identifying pests in their garden. Introducing Microsoft responsible
AI framework: engaging students with some of the social and ethical challenges raised by this new technology.