This chapter investigates how artificial intelligence (AI) affects agricultural data analytics and decision-making via earth observation, satellite communication, and remote sensing. This chapter discusses how advanced AI-based computer vision and machine algorithms can be leveraged for crop monitoring to improve agricultural productivity. This chapter introduces AI in agriculture by focusing on satellite communication and remote sensing for Earth observation and then discusses the challenges of AI in farm monitoring and management. This research focuses on the real-world implementations of the Indian techno-agro-firm Farmonaut, which were further analyzed to understand how AI may revolutionize crop health evaluation and management. This chapter examines how AI-generated insights affect agricultural decision-making for farmers, academics, and policy makers. As a result, this chapter provides an inquiry-based view of how AI influences crop monitoring and management through the experiential journey of the Farmonaut startup and informs researchers, and individuals with a stake in the convergence of AI, Earth observation, and agriculture.