It is found that in Australia, the farmers utilize manual method including hand weeding as well as utilization of hand tools for farming which creates number of issues including problems in weed seedlings, challenges in covering large scale area as well as more consumption of time. Therefore, it is very much necessary for the Australian farmers to adapt IOT based Greenhouse project. However, the famers are facing number of challenges in adapting IoT due to quality as well as because of lack of support in utilizing all the device and because of security challenges.
2.2 Purpose and justification
It is found that the farmers of Australia have a major concern about the security as well as privacy due to large scale of dissemination in IOT based greenhouse project. In order to resolve the problem, it is very much necessary to utilize blockchain that helps in allowing the development of distributed digital ledger of transaction which is generally shared among different nodes of IoT. Thus, it is very much necessary to develop lightweight blockchain based IoT architecture for the greenhouse farms for providing proper security as well as privacy.
3. Supervisor Approval
It is found that before the development of the lightweight blockchain based IoT architecture for the greenhouse farms, it is very much necessary to get approval from the supervisors of the project. It is found that without approval, the project managers will face number of challenges and issues and thus after getting approval, it is the responsibility of the project manager to initiate with the work of the project.
4. Research Questions
The research questions are generally elaborated below:
5. Conceptual or theoretical framework
According to Arshad et al. (2018), the emerging technology of greenhouse in the agricultural fields is utilizing IoT in order to monitor as well as for automate the entire process of farming. It is found that the technology of IoT helps the farmers in order to carry out the entire work plan within a farm without the utilization of manual inspection. On the other hand, it is stated by Kadam et al. (2018) that .
the use of IoT in greenhouse farms creates major concern related to privacy as well as security due to large scale dissemination of the entire network. Thus, it is very much necessary to develop lightweight black chain based IoT architecture for the greenhouses farms for giving proper security as well as privacy. It is found that IoT devices in the greenhouses generally helps in acting as a blockchain that is generally managed centrally for optimizing the consumption of energy.
It is found that IoT based greenhouse farming is considered to be quite advnatgeous due to number of reasons which are generally elaborated below:
Precision farming: Precision farming is considered as one of the significant process that assists in making the entire procedure of faming much more accurate as well as controlled in order to raise the live stocks as well as growing of various types of crops (Liao et al., 2017).
Livestock Monitoring: IoT applications are very much helpful for the farmers in order to collect different types of data and information irrespective of the location (Agnal et al., 2018). This information will be considered to be very much helpful in identifying the condition of the livestock.
Smart Greenhouses: Greenhouse farming is considered as one of the important techniques that is helpful in enhancing the yields of the vegetables, crops as well as fruits. Greenhouse control-based parameters are generally utilized in two different ways either with the help of manual intervention or with the help of control mechanism (Kodali, Jain & Karagwal, (2016). It is found that smart greenhouse with embedded IoT is quite helpful in monitoring as well as controlling the climate thereby helpful in eliminating the requirement of human intervention.
6.Methodology
6.1 Analysis of sources of information
It is found that due to the utilization of IoT based greenhouse farming in Australia, the farmers will get the opportunity of precision farming which provides them the facility of accurate as well as controlled procedure of crops growing (Liao et al., 2017). It is found that IoT based applications are also helpful for the farmers in order to collect data in context to location as well as well-being of the cattle (Lin et al., 2018).
In addition to this, this information assists in determining the condition of the livestock. Moreover, it is analyzed that the use of greenhouse farming technique assists in enhancing crops as well as fruits by 30%. Additionally, it is found that the when the greenhouse based IoT embedded systems are used they are helpful in monitoring the climate b eliminating the requirement of intervention by humans.
6.2 Research and system development methods
It is found that the paper utilizes system development life cycle method in order to provide a systematic procedure in order build as well as deliver the application of IoT from inception to the closure phase (Chauhan, Rana & Sharma, 2017). It is found that system development methodology methods, the project managers are capable of tracking the progress of the project quite effectively. In addition to this, it is found that SDLC methodology is mainly used in order to understand the various stages of the project effectively.
6.3 Data collection or system design methods
It is identified that in order to collect information related with IoT based greenhouse farming, secondary data collection method is generally utilized. It is found that in order to collect information number of journals as well as articles that were published recently are reviewed in order to get proper as well as accurate information related with the problems in adapting IOT greenhouse and benefits of IoT based greenhouse farming.
6.4 Ethical issues
It is found that there are number of ethical issues as well as challenges that can occur while the entire research is undertaken. The ethical issues are elaborated below:
Confidentiality: Confidentiality of data and information must be maintained in order to avoid the ethical challenges.
Protection: It is found that the individuals who are generally involved within the research should not be pressurized for doing any type of project work.
Carefulness: It is very much important to avoid the caseless mistakes while undertaking the research for avoiding different types of ethical challenges.
6.5 Compliance requirements
The different governments as well as regulations that are generally related with the workplace must be followed while undertaking the entire project successfully are elaborated below:
Health and safety act: Health and safety act needs to be followed in order to give safe working environment to the employees.
Healthy work environment: It is quite important to have a safe as well as healthy environment of work for the employees for so that workers can work effectively without facing any type of issues.
7.3 Risk analysis
|
Risk |
Description |
Impact |
Likelihood |
Mitigation techniques |
|
Slippage of schedule |
If the schedule of the project is not managed properly then there is a chance of schedule slippage which further causes delay. |
High |
High |
It is quite necessary to manage the project on a weekly basis for avoiding project slippage. |
|
Technical issue |
If the IT managers are inexperienced then they are chances of occurring technical issues. |
High |
High |
It is very much important to hire experienced IT team for avoiding technical issues as well as for finishing project on time. |
|
Budget shortfall |
If the cost of the project resources increases then there is a chance of budget shortfall that further causes financial issues and challenges. |
High |
High |
It is very much necessary to manage the resources effectively so that the project can be completed within the approved budget. |
7.4 Duration
It is found that the development of IOT greenhouse project will be completed within 30 days. The schedule of the project is provided below:
Agnal, S., Kapoor, K., Musfik, M., & Sharma, R. (2018). Automated Smart Greenhouse Environment Using IoT.
Arshad, J., Saleem, S., Badar, M. S. U., Khalid, S., Mumtaz, Z., Ullah, S., … & Madni, H. A. (2018). An Intelligent Monitoring and Controlling of Greenhouse: Deployment of Wireless Sensor Networks and Internet-of-Things.
Chauhan, B. D., Rana, A., & Sharma, N. K. (2017, September). Impact of development methodology on cost & risk for development projects. In 2017 6th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO) (pp. 267-272). IEEE.
Joslin, R., & Müller, R. (2015). Relationships between a project management methodology and project success in different project governance contexts. International Journal of Project Management, 33(6), 1377-1392.
Kadam, K., Chavan, G. T., Chavan, U., Shah, R., & Kumar, P. (2018). Smart and Precision Polyhouse Farming Using Visible Light Communication and Internet of Things. In Intelligent Computing and Information and Communication (pp. 247-256). Springer, Singapore.
Kerzner, H. (2017). Project management metrics, KPIs, and dashboards: a guide to measuring and monitoring project performance. John Wiley & Sons.
Kodali, R. K., Jain, V., & Karagwal, S. (2016, December). IoT based smart greenhouse. In Humanitarian Technology Conference (R10-HTC), 2016 IEEE Region 10 (pp. 1-6). IEEE.
Liao, M. S., Chen, S. F., Chou, C. Y., Chen, H. Y., Yeh, S. H., Chang, Y. C., & Jiang, J. A. (2017). On precisely relating the growth of Phalaenopsis leaves to greenhouse environmental factors by using an IoT-based monitoring system. Computers and Electronics in Agriculture, 136, 125-139.
Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2018, July). Blockchain and IoT based Food Traceability for Smart Agriculture. In Proceedings of the 3rd International Conference on Crowd Science and Engineering (p. 3). ACM.
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