This document outlines a high-level generic strategy for developing a product-based search engine. This strategy is conceptual and does not reflect specific implementations. Team: Hadi Saghir Azam Suleiman Evan Ebdo Jakob Hagman Philip Holmqvist

Overview The fusion of Internet of Things (IoT) technologies with the agricultural domain is catalyzing a transformative shift, particularly through the deployment of advanced network infrastructures like Starlink and LoRaWAN. Each brings distinct advantages to the forefront of agricultural innovation, enhancing connectivity and data interoperability across vast, often remote, farming landscapes. Starlink, an initiative by SpaceX, is pioneering in delivering high-speed internet globally via its constellation of satellites, ensuring that even the most secluded agricultural zones gain access to robust internet connectivity. This leap forward is epitomized by the recent collaboration between John Deere and Starlink, which aims to integrate cutting-edge connectivity solutions with agricultural machinery, thereby streamlining farm operations and enhancing productivity through continuous, real-time data flow. Conversely, LoRaWAN stands out for its low-power, long-range communication capabilities, making it an ideal choice for agriculture's diverse needs, from monitoring soil moisture levels to tracking livestock over extensive areas. Its ability to support a vast network of low-energy devices helps in gathering precise agricultural data, essential for informed decision-making and sustainable farming practices. This exploration into the impact of Starlink and LoRaWAN on agriculture, especially in light of the strategic John Deere-Starlink partnership, is part of an ongoing discourse. Detailed analysis and further developments are anticipated as this narrative continues to unfold, promising a new era of efficiency and connectivity in the agricultural sector. Comparison

Overview of JVM and Its Language Ecosystem The Java Virtual Machine (JVM) serves as a cornerstone of the Java platform, enabling the execution of Java applications across diverse hardware and software configurations. It conceals the intricacies of the underlying infrastructure, offering a consistent execution environment for Java bytecode. This flexibility has encouraged the emergence of a variety of languages targeting the JVM, each endowed with distinctive attributes and optimized for specific domains, notably in the realms of parallelization and concurrent programming, particularly when handling voluminous datasets. When not to use a JVM based Language System-Level Programming: Opt for C or C++ for their superior performance and granular control. Rapid Development & Data Science: Python excels with its user-friendly syntax and rich libraries like Pandas and NumPy. Real-Time Web Applications: JavaScript, especially with Node.js, is ideal due to its asynchronous processing capabilities. Statistical Computing: R is the preferred language, tailored for statistical analysis. Concurrent Systems: Go is recommended for its efficient concurrency support.

Name: Hadi Saghir Student Credentials: hs223um Git Repo: 1DT305_IoT_Project Short Project Overview: This project aims to convert the BOSCH Styline TKA8013 coffee machine into a smart appliance. By leveraging IoT principles and following the course provided roadmap, I will demonstrate proficiency in development environment & device configuration, network connectivity, and data visualization to reach the objectives of my project. Time Estimate: Approximately 4-8 hours, less if you worked with these programs before