Welcome to FarmBeats for Students Today s farms are beginning to look a lot more like smart cities. Growers are using modern techniques like sensors, computer vision, and artificial intelligence to acquire a more complete view of their crops. These methods help them make better decisions, discover inefficiencies, and unlock new insights into improving food production. The FarmBeats for Students program brings these modern tools into the hands of today s learners. Program Overview The program combines an affordable hardware kit with curated curriculum and activities designed to give students hands-on experience in applying precision agriculture techniques to food production. The learning progression enables students to easily see the connections between these modern agriculture tools and the opportunities they afford. FarmBeats for Students Precision Agriculture Experiences for School and Home aka.ms/farmbeatsforstudentsLearning Progression Academic Alignment Using the FarmBeats for Students All agricultural concepts and performance objectivesin these program, students learn about AI, activitiesare associated with theLearningObjectives(LO)and Machine Learning, and the Internet Enduring Understanding (EU)at grade levels 9 12 from the AI4K12 of Things (IoT) by building a garden 5Big Ideas. The curriculum is also aligned to CSTA Standards, monitoring system. National AFNR Common Career Technical Core Standards, Next Raspberry Pi with sensors kit Generation Science Standards, and Common Core State Standards for high school math. They assemble a Raspberry Pi equipped with atmospheric and environmental sensors to understand their soils health, analyze data and make decisions. Using Microsoft Excel, they construct an agent to react to soil conditions and engage with big data sets to extract intelligence about the best greenhouse locations. Using Lobe, they build their own machine learning models, applying the technique to predict nutrient problems in their plants and identify pests in their garden. Visualize and analyze with Excel workbooks Train machine learning models with Lobe The course ends by introducing Microsofts Responsible AI Framework and presents a discussion about some of the social and ethical challenges raised by this new technology. Five Big Ideas in AI infographic by AI4K12,