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Q2. [CO2] You are tasked with designing a class diagram for an Autonomous Agriculture Management System, which is used to oversee and automate various aspects of a large-scale agricultural operation. Here are the key components and functionalities of the system:

Q2. [CO2] You are tasked with designing a class diagram for an Autonomous Agriculture Management System, which is used to oversee and automate various aspects of a large-scale agricultural operation. Here are the key components and functionalities of the system:

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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• Irrigation System: The irrigation system is responsible for managing water resources, including sensors to measure soil moisture and automated watering mechanisms. • Pest Control: The system monitors for pests and diseases in crops and uses data to apply targeted pest control measures. • Crop Health Analysis: Analyze data from sensors to assess crop health, detect anomalies, and recommend appropriate actions. • Inventory Management: Keep track of agricultural equipment, spare parts, and other resources required for farm operations. Harvest and Yield Analysis: Record data on harvested crops and calculate yields for each crop type. • • User Roles: The system supports different user roles, such as farmers, agricultural engineers, and data analysts, each with specific access and functionality. Reporting and Data Visualization: Provide tools for generating reports and visualizing data, including charts and graphs for farm performance. Resource Allocation: Allocate resources (e.g., vehicles, labor, water) efficiently based on real-time data, weather forecasts, and crop conditions. As you design the class diagram for this scenario, consider the relationships between these classes, the encapsulation of data and methods, and the system's overall architecture.
Transcribed Image Text:• Irrigation System: The irrigation system is responsible for managing water resources, including sensors to measure soil moisture and automated watering mechanisms. • Pest Control: The system monitors for pests and diseases in crops and uses data to apply targeted pest control measures. • Crop Health Analysis: Analyze data from sensors to assess crop health, detect anomalies, and recommend appropriate actions. • Inventory Management: Keep track of agricultural equipment, spare parts, and other resources required for farm operations. Harvest and Yield Analysis: Record data on harvested crops and calculate yields for each crop type. • • User Roles: The system supports different user roles, such as farmers, agricultural engineers, and data analysts, each with specific access and functionality. Reporting and Data Visualization: Provide tools for generating reports and visualizing data, including charts and graphs for farm performance. Resource Allocation: Allocate resources (e.g., vehicles, labor, water) efficiently based on real-time data, weather forecasts, and crop conditions. As you design the class diagram for this scenario, consider the relationships between these classes, the encapsulation of data and methods, and the system's overall architecture.
Q2. [CO2] You are tasked with designing a class diagram for an Autonomous Agriculture Management System, which is used to oversee and automate various aspects of a large-scale agricultural operation. Here are the key components and functionalities of the system: • Farm: The system manages multiple farms, each with unique attributes such as location, size, and crop type. • Crop Management: The system tracks information about the crops grown on each farm, including crop type, planting date, harvest date, and growth status. • Weather Data: The system collects and processes real-time weather data, including temperature, humidity, precipitation, and wind speed, to make informed decisions about crop management. Autonomous Vehicles: The system includes autonomous vehicles (e.g., drones, tractors) equipped with various sensors and tools for tasks such as planting, harvesting, and pest control.
Transcribed Image Text:Q2. [CO2] You are tasked with designing a class diagram for an Autonomous Agriculture Management System, which is used to oversee and automate various aspects of a large-scale agricultural operation. Here are the key components and functionalities of the system: • Farm: The system manages multiple farms, each with unique attributes such as location, size, and crop type. • Crop Management: The system tracks information about the crops grown on each farm, including crop type, planting date, harvest date, and growth status. • Weather Data: The system collects and processes real-time weather data, including temperature, humidity, precipitation, and wind speed, to make informed decisions about crop management. Autonomous Vehicles: The system includes autonomous vehicles (e.g., drones, tractors) equipped with various sensors and tools for tasks such as planting, harvesting, and pest control.
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