SRS IoT enabled Greenhouse | Mushroom Farming Monitoring and Control System

Plants such as flowers and vegetables are grown in a green house. Greenhouses warm up during the day when the light shines through them, warming the plants, soil, and structure. Green houses aid in the protection of crops against a variety of illnesses, particularly those that are soil-borne and splash onto plants when it rains. The greenhouse effect is a natural occurrence that is beneficial to humans. Many farmers fail to make a profit from delicate crops like mushroom farming because they are unable to control two critical parameters that govern plant development and yield. High humidity can cause crop transpiration, condensation of water vapors on various greenhouse surfaces, and water evaporation from the humid soil if the greenhouse temperature falls below a particular level. This system comes to the rescue in such situations. In this project you will develop a fully functional monitoring and control system for a small scale garden.

Scope of Project IoT enabled Greenhouse | Mushroom Farming
Monitoring and Control System:

Project scope is the part of project planning that involves determining and documenting a list of specific project  goals, deliverables, tasks, costs and deadlines. Defining the project scope involves adopting a clear vision and an agreement on the outcomes of the project. This allows each milestone of the project to stay on target

Functional and Non Functional Requirements of IoT enabled Greenhouse | Mushroom Farming Monitoring and Control System:

Functional Requirements :

A functional requirement shows that what the system must do what services the system present to users. It describes a software system or its component. A function is nothing but inputs to the software system, its behavior, and outputs

Functional Requirements of IoT enabled Greenhouse | Mushroom Farming
Monitoring and Control System:

Temperature sensor is used to control the fan when the temperature rises.
 The soil moisture sensor detects the water level and activates the pumps as the level
drops.
 The LDR sensor detects the absence of light and the bulb begins to glow.
 It will be easier to monitor and control the system this way.
 All of the required sensors will be managed by your controller. User will receive the
updates on mobile application or web portal.

NON-FUNCTIONAL REQUIREMENTS IoT enabled Greenhouse | Mushroom Farming Monitoring and Control System:

• Application is user friendly.
• Application Perform fast manipulation and calculations.
• Application is adaptable.
• Application will be able to work on all types of operating systems.
• Application will be capable to handle multi user activities simultaneously.
• There will be back up system to face any problem in system
• All the options should be learning friendly I.e. member could easily understand what that option will do if he clicked on it.
• Response Time is very awesome.

Some others are:

• Accessibility
• Maintainability
•  Fault Tolerance.
• Security
• Robustnes

Hardware Requirements:

• Microcontroller (any)
• Temperature sensor
•  Light sensor
• Soil moisture sensor
• Air temperature and humidity sensor
• Relays
• LDR sensor
•  LCD display module
•  Mini Fan
•  Light Bulb
• Water pump
•  Water Sprinkler

Use Case Diagram of Diagnosis of IoT enabled Greenhouse | Mushroom Farming Monitoring and Control System

a use case diagram can summarize the details of your system’s users   and their interactions with the system. Scenarios in which your system or application interacts with organizations, people, or external systems. Goals that your system or application helps those entities achieve

Usage Scenarios Diagnosis of IoT enabled Greenhouse | Mushroom Farming
Monitoring and Control System:

A brief user story explaining who is using the system and what they are trying to accomplish. A Scenario is made up of a number of simple, discrete steps that are designated as being performed by either the System or a  User.

ADOPTED METHODOLOGY for IoT enabled Greenhouse | Mushroom Farming Monitoring and Control System:

The adopted methodology for this project is vu process model. Vu process model is a combination of water-fall model and spiral model. This combination has many advantages. This model has high risk analysis so avoidance of risk would be achieved. This model is easy to understand and use. Now first we will discuss the Water-fall model.

Work Plan of Diagnosis of IoT enabled Greenhouse | Mushroom Farming
Monitoring and Control System:

Work plan

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