IPO Model Conceptual Framework of Cloud Based Farm Management Assistant System
This article will show you how to create a Cloud Based Farm Management Assistant System conceptual framework.
About the Project
The capstone project, titled “Cloud-based Farm Management Assistant System,” is designed to serve as a platform where farm records are stored in a cloud. The system will allow farm owners to quickly and electronically record vital information of the farm and upload it in a highly efficient cloud in terms of records retrieval. The said project will ease up the whole farm management activities.
Big farms require efficient management to ensure the volume of crop productivity. Farmers usually need the records of the crops and the soil analysis to assess whether the soil is rich with nutrients that the crops need to grow. Managing a farm has a lot of records management to do if which relied on the manual process will impede the operation and goal of the farmers. There is an intensified need to address these concerns of farmers by adopting an IT-based solution.
Objectives of the Study
- To let farm owners and farmers electronically record farm-related information.
- To increase operational efficiency and productivity of farms.
- To reduce manual and rigorous management activities of farm owners and farmers.
- To easily retrieve records for reference, especially the soil analysis.
Conceptual Framework/Model
The accompanying diagram depicts the conceptual framework for the project Cloud Based Farm Management Assistant System. It’s based on the IPO (input, process, and output) model.
Input
The project will begin by evaluating the present process, which will lead to the stage of determining the users’ needs, also known as the user requirement stage. The researchers will also need to compile relevant papers and systems to use as a guide for the project’s development.
In agricultural production, farm management is a critical part of success. It can, however, be a difficult and time-consuming task to do. An automated farm management system that runs in the cloud can help farmers manage their operations more efficiently.
Farmers would be able to enter information on their crops and livestock, as well as track the development of their farm activities, using the system. Farmers would also be able to gain access to information on market prices and trends, as well as make informed decisions about their farm strategy, thanks to the system.
Process
The researchers will select and choose the optimum software development life cycle model for the project in this section.
Analysis and quick design, prototyping, testing, deployment, and maintenance are all part of the process.
It is becoming increasingly common in the agriculture industry to make use of cloud-based computing technologies. There are numerous advantages to using cloud-based solutions for farmers, including real-time access to information, the capacity to share data with others, and the ability to view information from any device with an internet connection. A challenging task, the development of a cloud-based farm management assistant system necessitated the creation of software components that could be combined into a web-based user interface.
The design and deployment of a cloud-based farm management assistant system are described in this paper. Farmers can access information on their crops, livestock, and equipment using a web-based user interface, which is included in the system’s functionality. An additional component of the system is a data management component that enables farmers to manage their information in a cloud-based environment. The PHP, MySQL and Bootstrap web development framework were used to create the system, which is now in use.
The Cloud-Based Farm Management Assistant System will have the following features and modules:
- This module will allow users to login to the system by entering their username and password in the appropriate fields.
- Farm Management Module: This module will enable customers to manage their farms through the use of a computerized system.
- Crop Management Module: This module will enable users to manage their crops through the use of a computer system.
- Livestock Management Module: This module will enable customers to manage their livestock through the use of a computerized system.
- Agricultural Reports and Graphs: This module will allow users to access agricultural reports and graphs within the system.
- User will be able to examine weather information in the system using the Weather Module, which is module 6.
- Agricultural Consultants Module: This module will allow users to connect with agricultural advisors who are available through the system.
- Farmers Forum Module: This module will allow farmers to communicate with one another and exchange ideas and feedback throughout the system.
- e-Commerce Module: This module is designed to facilitate the sale of products and services given by farmers’ organizations on the internet.
Output
The project comes to life and is executed in the real world after all of the necessary procedures have been completed. A new project is born, and it will be maintained for the project’s long-term survival.
The Cloud Based Farm Management Assistant System is a cloud-based farm management system that helps farmers manages their operations. Farmers can use the system to keep track of their crops, livestock, and equipment, as well as manage their money and employees. Farmers can also utilize the system to generate reports and keep track of their progress toward their objectives. Subscribers can use the Cloud Based Farm Management Assistant System through a web-based subscription service.
The project’s findings are encouraging, and they imply that a cloud-based farm management assistant system is both possible and viable for usage by farmers in the agricultural industry, as demonstrated by the results.
Summary
This page goes into how the study’s conceptual framework came to be. The input, process, and output model was employed as the study’s conceptual framework (IPO model). The researchers will start by identifying the problem and the system’s user requirements. The researchers will look for relevant literature to support the proposal. The researchers will begin the process of developing the project after receiving all of the necessary inputs. The researchers will choose an SDLC model that is appropriate for the project. The project will be brought to life and implemented in the actual world once all of the essential steps have been finished. A new initiative has been born, and it will be nurtured in order to ensure the project’s long-term viability.
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