Qualitative and quantitative research approaches
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Authors |
Research approach |
Findings relevant |
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1 |
Abbasi, Yaghmaee & Rahnama, (2019) |
Qualitative research approach |
Internet of things in agriculture has been capable of offering huge enhancement. Better way of determining the crop fields can be obtained with the use of IoT Technology. |
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2 |
Alreshidi, (2019) |
Systematic literature review -Quantitative |
The use of Smart sustainable agriculture solution supported by internet of things technology and artificial intelligence has been discussed in the paper. This are responsible for offering farmers with better capability to deal with rising farm problems. |
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3 |
Pandithurai, (2017) |
The research aims at discussing a new digital model for the purpose of monitoring soil and crops. This helps in determining the condition of the crops so that it can offer better way of handling abilities to farmers. |
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4 |
Ray, (2017) |
Qualitative research approach |
Internet of things is being adopted by several agriculture sites. However, the need to discover the benefits become very crucial. The research paper describes about the way IoT is able to adopt and promote agriculture. |
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5 |
Shi et al., (2019) |
Systematic literature review -Quantitative |
Use of internet of things has offered with the ability to protect the agriculture fields from any unexpected circumstances. The research represents the way IoT is being utilized for handling protected agriculture. |
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6 |
Krishna, (2017) |
Quantitative research approach |
The selected paper discusses about the way application of internet of things application is incorporated in smart agriculture system. It is crucial for the purpose of handling operations efficiently. The research selected quantitative research approach for the purpose of finding out the facts associated with the topic. |
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7 |
Titovskaia, Titovskaya & Titovskii, (2020) |
Systematic literature review -Quantitative |
The use of IoT technology in agriculture has been providing support in managing agriculture fields. Use of technology helps in monitoring crops, mapping and surveying fields can be obtained. This provides data to manage farmers for rational farm management. |
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8 |
Zhang, Cao & Dong (2020) |
Systematic literature review -Quantitative |
Edge computing in agriculture internet of things is able to offer pest identification, unmanned agricultural machinery, intelligent management and agricultural technology promotion. |
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9 |
Raj, (2021) |
Quantitative research method |
With the adoption of internet of things for smart agricultures will offer better reliability and functionality. Use of technology has the potential to deliver better functionality for farmers. |
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10 |
Uddin, (2017) |
Qualitative research method |
IoT is responsible for allowing devices across farm for measuring all possible data remotely. This provides with the information for farmer so that real time accessibility can be obtained. This helps in gathering information such as dam levels, weather forecast, livestock health soil moisture, and chemical application. |
Internet of things is able to develop smart connection for making environment. IoT enable devices are embedded with sensors for connecting to interact with each other. Devices will be able to remotely monitor and control real time data. IoT enabled systems such as pumps, sheds and tractors for the purpose of determining the farm conditions. According to Abbasi, Yaghmaee & Rahnama, (2019), with the help of remote monitoring of farm conditions and infrastructure, it becomes easy to save and secure time and labour for conducting routine farm checks. The need to use IoT will offer better way of improving producer decision making through data analytics. IoT helps in offering faster and quicker insight over real time data across value chain, helps farmers responds to what market wants. In the research paper, the used of IoT helps in determining the climate conditions as well. Precision farming is one of the famous application of IoT in agriculture (Raj, 2021). The way agriculture offers with the ability generate data and adapt accordingly. Precision farming helps in analysing soil condition so that operational efficiency.
According to Alreshidi, (2019), agriculture drones has been implemented for the purpose of assessing crop health, crop spraying, field analysis and crop monitoring. The survey offers a comprehensive overview associated with multiple technologies. It can be stated that with the use of IOT technology, high precision towards agricultural fields is being offered. The way agriculture fields need to be maintained in the early times were labour intense and effort intense. As a result, the utilisation of new technology will rapidly enhance the performance and will create better capability within the fields. According to the research, it has been observed that the use of digital technologies has been able to offer better monitoring and analysis of food crops. Agro technology is referred to process in which numerous ways of using new technologies has been developed for the purpose of obtaining real-time application. The sensors are developed in a combined manner so that it can gather sufficient information for increasing the yield of crop production (Pandithurai, 2017). The sensors are also incorporated within fields for determining the water level is sufficient for the field. It is expected that the successful utilisation of the technologies will deliver high amount of precision towards all the farmers.
According to Ray, (2017), internet of things in the industry of agricultural development is usually utilised with the perspective to monitor network which consist of large number of sensor notes. This gradually transformed agriculture from a human oriented and single machine centre in production. In addition to this, IoT application such as Blockchain and augmented reality technologies are also utilised with the perspective to deliver better advantages. However, while utilising any form of technology, the need to determine the challenges associated with the technology becomes very crucial. In this research paper, the edge computing can create impact over the agricultural development has also been determined (Zhang, Cao & Dong, 2020). The common challenges include data inefficiencies, security and privacy protection, services stability and task allocation challenges. As a result, it is important for agricultural owners to analyse all perspective before implementing technology.
Applications of Internet of Things in agriculture
According to Krishna, (2017), Internet of things has entered agricultural sector with the perspective to enhance operations. Modern day sensors are now made available for use within agriculture so that real-time data can be obtained. IOT in agriculture has gained a huge importance as these provides with growing food in a clean and sustainably. IOT-based smart farming is in the future as this helps in tracking every essential elements associated with crop productions such as the light, temperature, humidity, soil moisture and weather. The way internet of things has been creating enhancement in the field of agriculture by establishing smart greenhouse, monitoring climate conditions, remote sensing and computer imaging.
According to the Titovskaia, Titovskaya & Titovskii, (2020), IOT has the potential to enhance farming condition by providing better decision making capabilities, developing better way of handling consumers requirements and by the dealing with the requirements. The way agricultural projects are being maintained are with the use of data science and data collection process, use of farm management information system, and implementation of transmission of data. Each phase is considered to be very significant as this contribute towards a better maintenance and handling of data sets. The research paper clearly represents the way different layers of architecture based IOT system operates. It is expected that the wireless the sensors will be able to manage the operations and functionality (Uddin, 2017).
According to Shi et al., (2019), Internet of Things (IoT) has gained huge success with the implementation of technology. The climate factors can be easily determined with the help of Iot. The author has conducted a systematic literature review over the IOT research and deployments which are utilised in protected agriculture over the past 10 years. It is expected that the utilisation of proper technology can deliver a high amount of support. In today’s world, it is very important to align the technology in an effective manner. The way IOT brings the innovations within the agricultural field has been discussed in the research paper.
References
Abbasi, M., Yaghmaee, M. H., & Rahnama, F. (2019, April). Internet of Things in agriculture: A survey. In 2019 3rd International Conference on Internet of Things and Applications (IoT) (pp. 1-12). IEEE.
Alreshidi, E. (2019). Smart sustainable agriculture (SSA) solution underpinned by internet of things (IoT) and artificial intelligence (AI). arXiv preprint arXiv:1906.03106.
Krishna, K. L., Silver, O., Malende, W. F., & Anuradha, K. (2017, February). Internet of Things application for implementation of smart agriculture system. In 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC) (pp. 54-59). IEEE.
Pandithurai, O., Aishwarya, S., Aparna, B., & Kavitha, K. (2017, March). Agro-tech: A digital model for monitoring soil and crops using internet of things (IOT). In 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM) (pp. 342-346). IEEE.
Raj, M., Gupta, S., Chamola, V., Elhence, A., Garg, T., Atiquzzaman, M., & Niyato, D. (2021). A survey on the role of Internet of Things for adopting and promoting Agriculture 4.0. Journal of Network and Computer Applications, 187, 103107.
Ray, P. P. (2017). Internet of things for smart agriculture: Technologies, practices and future direction. Journal of Ambient Intelligence and Smart Environments, 9(4), 395-420.
Shi, X., An, X., Zhao, Q., Liu, H., Xia, L., Sun, X., & Guo, Y. (2019). State-of-the-art internet of things in protected agriculture. Sensors, 19(8), 1833.
Titovskaia, N. V., Titovskaya, T. S., & Titovskii, S. N. (2020, August). Application of the IoT technology in agriculture. In IOP Conference Series: Earth and Environmental Science (Vol. 548, No. 3, p. 032021). IOP Publishing.
Uddin, M. A., Mansour, A., Le Jeune, D., & Aggoune, E. H. M. (2017, November). Agriculture internet of things: AG-IoT. In 2017 27th International Telecommunication Networks and Applications Conference (ITNAC) (pp. 1-6). IEEE.
Zhang, X., Cao, Z., & Dong, W. (2020). Overview of edge computing in the agricultural internet of things: key technologies, applications, challenges. IEEE Access, 8, 141748-141761.
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