Please draw a class diagram and an FMC diagram for the attached scenario.

Assignment 2 Case - Micro Farming Start-up Company Case Study: BoxUp Micro A fictional company using micro-farming to create a sustainable produce industry in urban areas. Background: Your client is a micro-farming start-up that aims to bring farming to urban areas through the power of the crowd. They send out "Grow Kits" to individuals and small businesses to set up in small areas like backyards and balconies, the produce of which, they plan to collect and sell in an online store. "Growers" buy a kit from the company, set the system up and grow the produce. When produce is ready, growers will then box the produce up and book an exchange, where a delivery person will come to swap the produce box with a new set of seeds/cuttings. Once produce is received and checked, the company will pay the growers based on a predetermined price per weight of usable produce. Problem: The business is in a period of growth, and wishes to streamline some of the complexities around the collection of small amounts of produce from individuals (as opposed to the simpler process of large scale supply traditionally done in the rest of the fresh produce industry). To do this, they plan to introduce sensors into existing and new Grow Kits that will collect data on the growth of produce plants which will feed into a forecast of inventory for the online store. In addition, they also need to integrate an account management section for Growers on the existing website, which currently only acts as an online store. It is your task to determine the important additions that are needed to meet stakeholder needs and to start the process of designing the new integrated system through a range of system design and analysis techniques. ADDITIONAL INFORMATION Sensors: Sensors in each kit will collect plant-growth data (e.g., CO2, moisture, root growth, etc.), which will be sent to a central database and displayed via a web application to Growers. Grow kits: Grow kits contain a variety of seeds \& cuttings of in-season produce like vegetables, fruits and herbs. Starter kits also include flat-packed growth containers, dehydrated soil \& nutrient packs, as well as the sensors. When someone signs up to be a Grower, they can select from various sizes of grow kits (e.g., small, medium, large), which will be delivered to them so they can start growing. Produce collection and Replenishment: Kits are replenished with new seeds/cuttings when the previous set is fully grown and ready to be harvested. Sensor data enables an algorithm to detect produce harvest time, which will prompt a notification sent from the system to the Grower, with a range of options to set pickup/delivery times. Kit replenishment is done at the same time as fully grown produce is collected: a delivery driver is booked, who brings replenishment seeds/cuttings and collects the box of produce grown and harvested by the Grower. The Grower can opt to meet the driver, or simply leave the box of produce at their doorstep for the delivery driver to swap the seeds/cuttings for. Seeds/cuttings sent depend on the season (i.e., winter, spring, summer, autumn). Note: delivery services (i.e., drivers and trucks) are outsourced from an external company, however, organisation of deliveries is done via the main system to be developed. Online store: The online produce store is a simple store where customers can select boxes of mixed produce of varying sizes. These boxes will generally be different from the individual boxes of produce sent to the company by Growers, as they will include a smaller set of more diverse fruits/vegetables and herbs put together by the Produce Managers at BoxUp Micro's warehouse. The boxes are currently set up as "lucky dips", where customers will not know exactly what each box has, however, recent market testing has indicated that customers would prefer to know exactly what they are getting in order to plan their meals. There is therefore a need to integrate the sensor data from Grow Kits into the system in order to better forecast the inventory of produce available to each of the Online Store produce boxes. Integrated system: With the upgrade of the Grow Kits to include sensors that transmit data to a centralised database, an algorithm has been added which can forecast when certain produce will be available and in what numbers. This algorithm is called GrowPredict. The business would like to use GrowPredict to help connect the currently separate systems of the online store and the Grower portal (which handles Grow Kit replenishment and produce collection). Ideally, by integrating these into one system, the forecast provided by the algorithm will feed into the stock levels of produce shown on the website. Conversely, the purchase data from the online store will help determine the types and numbers of seeds/cuttings sent out to Growers in replenishment kits. Stakeholders: Business owners \& staff, customers of the online store, and the "Growers