Cattle Firm Solution By IoT
Rifat Al Mamun Rudro
Instructor | Dept. of Computer Science | ML & AI Developer | Researcher
In our daily lives, livestock firms are a new business model. It is an emerging industry that can earn more profit from this livestock firm. Monitoring the entire herd of animals is a significant challenge for a farm owner attempting to keep the cattle. Day-to-day monitoring of animals' conditions, health checkups, and insemination periods are the most challenging parts of this industry. It is very difficult for a single farm owner to monitor all of the livestock. To address this issue, we are designing a digital, automated, IoT-based cattle farm management system in which we are attempting to address the issue through the use of an IoT component. A farm owner or manager may manage all of the cattle by utilizing a machine learning or data science algorithm to determine the pre-insemination day or period.
We're attempting to fix this issue since it's quite tough for a farm manager to maintain track of all the cattle's insemination times. It is really tough to remember the date and time. As a result, if the farm manager misses the right day and time for the cattle, they must wait until the following insemination date. It is not the most important goal of our project. To be aware of any major health concerns with the cattle, we must forecast the health data utilizing data analysis and data filtration. As a result, a farm manager or owner can take the required precautions to avoid the situation. One of the issues in the livestock company is the loss of livestock. One of them is a failure to provide effective treatment and make timely judgments. In our project, we are attempting to use the cattle mortality rate and control the entire herd in one location in order to improve the control of the animals' information and activities.
Motivation
Justification:
How can users benefit from the approaching project systems? Our solutions can assist users since we are attempting to employ IoT components to provide a better and more advanced service with extremely accurate outcomes. Some system aspects highlight how our systems can help users.
Our target audience is made up of young entrepreneurs and farm owners. As a result, they're attempting to digitize the life-stoke fields so that they might attempt to connect to the system.
Feasibilities of the project
Sensor-based automated health monitoring is required to track the movement of individual animals and to keep tabs on their health problems in order to enable this. The use of digital storage and communication is on the rise as the cost of these technologies continues to fall and their availability continues to rise. Until recently, it was impossible to keep tabs on the health of a single animal in great detail.
Mobile WSNs make it easier and more reliable than ever to keep an eye on people's well-being on the go. In order to assist farmers, make better decisions, GPS-enabled collars track the duration of the grazing time of cattle. Real-time communication, on the other hand, has a number of drawbacks, especially when it comes to warnings about potentially harmful circumstances, such as degradation and energy conservation. Several researchers have utilized GPS-enabled collars for monitoring cow behavior, according to published studies. Sensor networks are made up of a large number of low-cost, self-organizing ad hoc devices.
A sensor network has been used to monitor the health of cattle and transmit information to other nodes. The node's sensed data is sent to the sink in a hop-by-hop fashion. Static or mobile deployments of WSNs are options. Animal movement and soil moisture are monitored using static WSNs. Each animal has a set of mobile WSNs installed to keep tabs on its body temperature, overall health, and behavioral patterns. Instead of active leg tags or active collars, cheap ear tags are now often utilized. Instead of using sensors, passive tags are often employed to identify cattle for the purposes of tracking and tracing.
To track cattle over greater distances, active RFID sensors may be employed. However, however passive RFID sensors are more often found in cow collars. Early and precise diagnosis of cattle illnesses can minimize treatment costs but it also helps to avoid productivity losses. Rectal temperature is often used to estimate the core body temperature since it is difficult to collect for accurate livestock monitoring purposes. Animals may experience stress as a result of the manual collection of rectal temperatures. Because this is the case, a more exacting approach is required that does not need any human intervention.
It is important to know the financial health of a firm by looking at its financial statements. Assets, liabilities, and shareholders' equity are all represented on the balance sheet at a single point in time on the balance sheet. Maintaining legal compliance for tax and payroll reasons and being aware of your financial status in the event that you seek a loan to expand your company necessitate an understanding of farm financials.
We focus primarily on the health of our livestock. Our sensors are updated on a regular basis, and we keep this in mind. The improvement of the farm should be our ultimate objective. Strong, prolific calves and heifers depend on a well-maintained herd. Diarrhea in calves may develop into calf scours, which can be fatal, if not detected in the first 30 days of life. Cattle scour symptoms, treatment, and prevention are all covered by our sensors. Rare symptoms or illnesses might appear in your cow herd from time to time. The signs of an iodine deficiency are difficult to identify since it is so uncommon.
The mineral is essential for the health of the thyroid gland in cattle. This service explains in detail how and when to provide iodine supplements to cattle. Choosing the finest cow feed is also an essential concern for cattle ranchers. Early spring is the ideal period to maximize pasture productivity. The addition of beans might offer nutrients throughout the dry summer months if you already have a stand. Keeping track of a pasture's history and activity throughout the year might assist identify the ideal time of year to graze cattle and the most efficient fertilizer treatments.
Components are used during the project
Software component
Hardware Component:
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System UML Design
Project Risk
A project's risk is the potential for an unexpected occurrence to occur. A risk analysis is critical after obtaining the requirements since it helps identify potential problems that may arise during and after the development of the project. There are a certain number of specific hazards that come with any undertaking. Cattle farm management systems are the focus of our research. We need to know the categories of risk in which it is necessary to identify the probable unknown occurrences of the future and their causes and consequences in order to examine the risk factors. In terms of potential danger, the following are the most significant classes:
Actor: Related to stockholders of the project.
Technology: Availability and performance of the technology.?For example We have to know about the availability percentages of IoT basics and the automated systems as we are using them to complete the project.
Structure: Management structures and systems which include affecting planning and control.
Task: The common danger in here is underestimating the amount of work required to complete the activity. Risk refers to the potential of an unknown occurrence happening in a certain situation. Under each category, there are some risk components. We must include the risk associated with our project in the risk component.?
Risk of non-conformance: The requirements may not be satisfied. While the program estimates the weight of food consumed by each animal, it is unable to detect specific illnesses by scanning or sensors.
Cost Risk: Our project may go over budget. Risk Example: The project may be finished on time and under budget, but user representative training may go beyond the budget.
Support Risk: the risk associated with system updates. When upgrades are required, the development team may experience turnover. The new squad will have a tough time keeping up with the old team.
Schedule Risk: The risk of not delivering the product on time. Risk Example: There may be a delay in our project's critical path for staff turnover, technology problems and so on which will affect the project completion time.
The risks associated with a project are not equal. Risk varies depending on its nature. The risk might be
Additionally, there are some odds that a certain danger may occur or the risk is certain, but we must assess the risk's consequences. Additionally, we will quantify the risk exposure, which is a quantitative way to determine the possible loss of a corporation. Risk monitoring, mitigation, and management are all terms that refer to the same procedure.
Risk acceptance: There is no other way to accept the risk rather to prevent the risk.
Example for Project:?In the system testing it may show that the software detecting the problem the firm animals but before publishing the problem system crashes sometimes but there is no time left to fix the problem. So, we need to accept the risk for the first release of our project and will try to develop it in another updated release.
Risk avoidance: Avoiding the activity which could bring risk.
Example for Project: We are considering 12 developers working in a team to build the project. One of the experienced team members could have got some problems and failed to complete the critical path activity in time. But involving another member who is eligible to handle the same work we could involve with the project from the starting period by maintaining the same or moderately high employee cost.
Risk Reduction: The actions to reduce a particular risk.
Example for Project: We have discussed the risk of the system crash in the risk acceptance steps. We could have developed a way that will save the data of unshown results so that the system doesn’t need to take the data from the very first even though crashing the system.
Risk transfer: Transferring the risk prevention responsibilities to another team or organization.
Example for our Project: We have identified the risk that our system will not sense the activities of the animals if the area is greater than 5 km and our developers may suppose to fail to solve the problem. So, we can transfer the risk prevention responsibilities to other organizations on the basis of a contract.
Risk Mitigation: Trying to reduce the post-impact of a risk.
Example for our Project: We could have a high rating of staff turnover and, in this situation, we can hire some excellent fresh graduates with enough salaries until the project completion time.
Sometimes there is confusion among the whole team about the risk prevention or acceptance. To solve this confusion there is a term called “Risk Reduction Leverage”. We're making the assumption that rural communities have suddenly become more interested in our system.?
In the conclusion part of this proposal, it could be said that there is an intention behind the development of a software or system. It is true that most people in rural areas have several animals. Instead of that a group of people used to do farming business with animals and in business, this is very important to track every product or animal on the farm. There are farm managers who use to take care of those animals and this is a very normal impossible thing to notice every movement of an animal. Our proposed system is the system that will have all the data on animal characteristics. Like animal diseases, the gestation period of an animal and so things. With this system, there are fewer possibilities to reduce animal death. Our system will also detect what should be food quantity in a day which will keep them healthy as well. By going through the requirements analysis, preparing the SRS document, design, coding with a machine learning approach, and testing hopefully, we will succeed to prepare a good software and software model for our proposed system.