Microsoft FarmBeats: AI for Data-Driven Agriculture | RLO | Faysal | ALEC | TAMU

Описание: This Reusable Learning Object (RLO) explores Microsoft FarmBeats, an Artificial Intelligence (AI) and Internet of Things (IoT) system designed to revolutionize modern agriculture. Developed under the course ALEC 640 – Methods of Technological Change, this educational video introduces viewers to the method of data-driven agriculture, a technological change model transforming how farmers manage crops, conserve resources, and enhance productivity.

In this presentation, we walk through the story of FarmBeats, from its development at Microsoft Research to its real-world deployment in farms across the globe. Learn how AI, sensors, drones, edge computing, and cloud data work together to generate actionable insights for farmers; empowering both professionals and students to embrace digital innovation in agriculture.

This RLO also includes the FarmBeats for Students program, a partnership between Microsoft and the National FFA Organization, which introduces K–12 learners to precision agriculture using micro sensors, MakeCode, and AI-based analysis.

Learning Objective:
By the end of this lesson, learners will understand how Microsoft FarmBeats integrates AI and IoT technologies to solve power, cost, and connectivity challenges in agriculture, making precision farming accessible and sustainable.

Course Information:

Course Title: Methods of Technological Change

Course Code: ALEC 640

Instructor: Dr. Robert Strong

Institution: Department of Agricultural Leadership, Education, and Communications, Texas A&M University

Submitted by: Khalilur Rahman Faysal

Submission Date: November 6, 2025

References: Please check the post-credit section of the video for complete APA 7th edition references.

Interactive Reflection: Scan the QR code at the end of the video to answer 3 quick questions about what you learned!