Authors
Nour Bahaa, Mai Mahmoud, Ibrahim Fawzy, Abanoub George, Supervised by: Dr. Khaled Hussein Eng. Nour El-Huda Ashraf
Publishing Date
March 31, 2021.
Abstract
Wheat is an integral part of a human being’s life. As a result, researching wheat production is important. The presence of Wild Oats and Rust in wheat, on the other hand, decreases production by 93 percent per square meter. The distribution of Wild Oats seeds kills both the field and the soil for several years to come, depending on the land situation. Furthermore, the Rust disease appears as a result of a disturbance in the temperature. As a consequence, if the farmer does not identify it as soon as possible, it will harm and reduce the field. As a result, we will use image recognition and deep learning to reduce their visibility.
1.1 Purpose
The purpose of this document is to present and describe the architecture and the system design of our project in the best simple way about the Wheat Impurities’. The Software Design Document (SDD) document will give a detailed description about the system components, their full functionality and the interaction between them. The SDD’s main purpose is to show a an overview of our software details and its goals.
1.2 Scope
This paper is intended for farm owners and agriculture experts, such as Agriculture Research Center, who may be interested in our web application and cameras, which can detect whether or not their wheat crop is stable at its current stage and whether or not Wild Oats are grown in their area. This paper would contain comprehensive details about the functionality of device elements and their interactions. The aim of this paper is to explain our software and its objectives.
1.3 Overview
This documentation is divided into seven major parts. The first section is the introduction, which describes the project in a summary and why this paper was made. The second part is the system overview, which provides a high-level overview of our system. The third section is design viewpoints, which shows more information on how we design and how we see the project’s course. The fourth section is the data design, which describes how we planned the project as if it were a vehicle on the track. The fifth section is user interface design, which is how the viewer will see our project and how it will impact them, as well as how the product will be used. The sixth section is a requirement matrix, which indicates which components can perform which functions. Finally, the seventh section appendices will describe several widely used words.
1.4 Intended audience
The project’s stakeholders include someone who is an agricultural specialist, such as the Agriculture Research Center. or who wants to be an agriculture expert, such as a potential landowner or farmer. The landowner would have the records of all old percentages, which provides protection or anonymity in this scheme. As they will be able to determine whether or not their land will have wild oats or collect any spores from the wind that will cause rust disease.