{"product_id":"ai-agritech-lab-kit","title":"AI Agritech Lab Kit","description":"\u003ch2\u003eAI Agritech Lab Kit \u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGrades:\u003c\/strong\u003e 9th+\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNumber of Students:\u003c\/strong\u003e 2 participants per kit \u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eNumber of Lessons:\u003c\/strong\u003e Not specifically stated — lesson plans are included\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eHours of Content:\u003c\/strong\u003e 15 to 20 contact hours\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eHighlights:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eAI + sensor kit applying computer vision and machine learning to real-world agriculture, Data Science,r and environmental-monitoring use cases. Works with Gen AI, Power BI, Python, 13 sensors, and Excel. \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cspan\u003eThe AI Agritech Kit is an AI, IoT, and data-science lab that transforms live sensor data into intelligent farming decisions using Generative AI. Students collect real-world data from 10 agriculture sensors, analyze it with Python and Excel, visualize it with Power BI, then query a Generative AI agent in plain language (including voice-in\/voice-out interaction) to get insights, recommendations, and predictions. Built-in AI guardrails are cited for safe, responsible, and age-appropriate learning. Positioned as a project-based, inquiry-driven learning experience.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eCurriculum or Lesson Topics:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eEnvironmental \u0026amp; Soil Monitoring:\u003c\/strong\u003e Using Soil Moisture, Raindrop, and Temperature\/Humidity sensors to simulate irrigation and crop-health monitoring decisions\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eClimate \u0026amp; Air Quality Sensing:\u003c\/strong\u003e Using the Gas Sensor and Light Detector to model greenhouse conditions, air quality, and growing-condition monitoring\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSmart Irrigation \u0026amp; IoT Automation:\u003c\/strong\u003e Combining multiple sensors (sensor fusion) into an automated decision system — e.g., triggering irrigation logic based on soil and rainfall data\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eData-Driven Farming Decisions:\u003c\/strong\u003e Using Python and Power BI to analyze collected field data and surface trends relevant to crop and resource management\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGenerative AI for Agricultural Insight:\u003c\/strong\u003e Applying Gen AI to interpret sensor data and generate natural-language recommendations, mirroring real AI-powered agricultural advisory tools\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSustainability \u0026amp; Global Impact:\u003c\/strong\u003e Connecting sensor-based projects to UNSDG themes — Zero Hunger, Climate Action, and Sustainable Communities — framing the kit's work around real agricultural and environmental challenges\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eStandard Alignments:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eAI4K12 “5 Big Ideas of AI”, ISTE, CSTA, NGSS, Common Core\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eWhat’s Included:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e1 Data Block (central sensor hub, 7 total ports — 6 GPIO + 1 I2C, USB-C for charging\/data transfer)\u003c\/li\u003e\n\u003cli\u003e10 Agriculture Sensors: LDR sensor, Gas sensor, Raindrop sensor, Soil Moisture sensor, Liquid Temperature sensor, Photogate sensor, Ultrasonic sensor, Humidity sensor, \u0026amp; PIR Motion sensor\u003c\/li\u003e\n\u003cli\u003eGen AI tool integration for insights \u0026amp; predictions\u003c\/li\u003e\n\u003cli\u003eLesson plans and facilitator reference guide\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eTechnology Requirements\/Specifications:\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComputer:\u003c\/strong\u003e A Windows OS laptop or desktop is strongly recommended — the DSPRO Software, Device Manager\/driver steps (CH340\/CP210x USB drivers), and Excel Data Streamer integration are Windows-oriented workflows per the product manual.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUSB Port:\u003c\/strong\u003e A free USB-A or USB-C port (with adapter if needed) to connect the Data Block via the included USB-C cable\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicrosoft Power BI:\u003c\/strong\u003e For advanced data visualization and dashboarding (Power BI Desktop or Power BI service access)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePython:\u003c\/strong\u003e For data science workflows referenced in the AI Lab brochure (Python | Power BI listed as a feature) — a Python 3.x environment with relevant data science libraries\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eGenerative AI Access:\u003c\/strong\u003e Since Gen AI Integration is a listed feature, access to a Generative AI tool\/service is required.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eInternet Access:\u003c\/strong\u003e Needed for Gen AI integration, Power BI cloud features (if using the online version), and initial software\/driver downloads\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMinimum System Specs:\u003c\/strong\u003e A current machine with at least 4-8GB RAM to comfortably run Power BI, and Python simultaneously\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cmeta charset=\"utf-8\"\u003e\n\u003cp dir=\"ltr\"\u003e\u003cstrong\u003eProgramming Platform: \u003c\/strong\u003eAI Agritech Lab software, Python and Power BI\u003c\/p\u003e\n\u003cb id=\"docs-internal-guid-13e905c6-7fff-a0f4-c168-c888ea49c5de\"\u003e\u003c\/b\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(0, 170, 255);\"\u003e\u003cstrong\u003eSpecial Notes and Considerations:\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp dir=\"ltr\" role=\"presentation\"\u003e\u003cem\u003eDue to production time, this item typically ships 3-4 weeks after receipt of the order. \u003c\/em\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Meritus AI","offers":[{"title":"Default Title","offer_id":51233552204023,"sku":"MAI-AI-003","price":279.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0516\/9142\/1854\/files\/AIAgritechKit-2.png?v=1790720515","url":"https:\/\/stemfinity.com\/products\/ai-agritech-lab-kit","provider":"STEMfinity","version":"1.0","type":"link"}