There have been massive technological advancements that have taken place in the recent years. One of the contributions of technology to the world is Internet of Things (IoT). IoT is defined as the intern-connection of several elements such as gadgets, electrical appliances, databases, networks etc. with the aid of the Internet to perform a particular task or activity. There are several IoT applications that have been developed and a lot of research and development work is in progress in the same area (Gigli & Koo, 2011). Microsoft and Schneider Electric have also collaborated with each other on Kiwi IoT project.
Agriculture is one of the prime activities that are carried out in most parts of the world. It makes use of over seventy percent of the fresh water that is currently available. In order to optimize the use of water, Waterforce came up with the cloud based IoT solution that comprises of advanced analytics and remote controls to carry out sustainable farming (Itbrief, 2017).
Application of IoT in Agriculture
The primary features of the project are as listed below:
Lightweight and scalable cloud based solution for agriculture
Ability to provide mobile capabilities to the users
Analysis of watering plants
Mapping with the regulatory policies to ensure hundred percent compliance
Remote monitoring of water usage and storage
Frequent data gathering and analysis to estimate the weather conditions
Simple adjustments for irrigation activities as per the weather conditions
Automatic and frequent data back-ups for disaster recovery
Analysis of the spot prices
Smart farming through SCADAFarm
SCADAfarm is an IoT agricultural solution that has been developed by Waterforce, a kiwi water management, and irrigation organization. The solution has been created with the collaboration of Schneider Electric using the IoT platform provided by Microsoft Azure. The solution is one of the additions in the regime of sustainable agriculture for the conservation of resources at a global level.
Microsoft IoT Hub services are integrated with the Schneider Electric software and hardware along with various other elements such as cloud technologies, industrial sensors and controls, and variable speed drivers to come up with the SCADAfarm as an IoT solution for agriculture (Sah, 2016). It enhances the agricultural practices that are carried out and also adds to the conservation of environmental resources.
There are huge farms that are required to be managed in various parts of the world. Canterbury Plains is one such area that is one of the largest areas of flat land in New Zealand. The project has been implemented on several farms in the area. There is a lot of effort that is required to put in for the management and execution of operations on the farm. There is intense water logistics that involved along with pumping uphill to maintain steep terraces along with the tracking of the usage in order to comply with the environmental guidelines (Ma, Yang & Wang, 2017).
Use of manual practices and traditional tools to carry out agricultural activities is no longer applicable to achieve the objective of sustainable farming for the conservation of resources. Also, the management of these farms is also not easy with the use of existing tools and practices. SCADAfarm was, therefore, developed to bring a solution to all of these problems and issues (Ning & Liu, 2012). The issues associated with management of the farms and agricultural operations are addressed by the Kiwi IoT project by fulfilling the following activities:
Sustainable farming and conservation of resources have become necessary to put a check on the rapid depletion of resources in the current times. The use of technology in such areas can lead to the successful achievement of the objectives. SCADAfarm is one of the IoT solutions that have been developed in order to achieve the objective of resource conservation and to make the agricultural activities easier (Razzaque, Milojevic-Jevric, Palade & Clarke, 2016). It is necessary for the developers and business organizations to come up with increased number of IoT projects and solutions in order to come at par with technology. Also, the use and application of such solutions shall be as per the requirements and specifications.
Gigli, M., & Koo, S. (2011). Internet of Things: Services and Applications Categorization. Advances In Internet Of Things, 01(02), 27-31. https://dx.doi.org/10.4236/ait.2011.12004
Itbrief. (2017). Microsoft & Schneider Electric partner on Kiwi IOT project. Itbrief.co.nz. Retrieved 10 August 2017, from https://itbrief.co.nz/story/microsoft-schneider-electric-partner-kiwi-iot-project/
Ma, Q., Yang, B., & Wang, J. (2017). Application of Internet of Things in Urban Waterlogging Prevention Management System. Advances In Internet Of Things, 07(01), 1-9. https://dx.doi.org/10.4236/ait.2017.71001
Ning, H., & Liu, H. (2012). Cyber-Physical-Social Based Security Architecture for Future Internet of Things. Advances In Internet Of Things, 02(01), 1-7. https://dx.doi.org/10.4236/ait.2012.21001
Razzaque, M., Milojevic-Jevric, M., Palade, A., & Clarke, S. (2016). Middleware for Internet of Things: A Survey. IEEE Internet Of Things Journal, 3(1), 70-95. https://dx.doi.org/10.1109/jiot.2015.2498900
Sah, P. (2016). Saving Environment Using Internet of Things: Challenges and the Possibilities. Advances In Internet Of Things, 06(04), 55-64. https://dx.doi.org/10.4236/ait.2016.64004
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