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Farming is depicted as one of the significant part, which deals with the primary livelihood of many countries. The significant automation of the application in respect to the farming technology is depicted to be an important aspect related with the implementation of the IoT services within the agricultural sector. The implementation of the information technology in the environment of the agricultural sector tends to amplify the overall procedures associated in this sector. The implementation tends to effectively provide enhanced services as well as the significant data collection methods associated within this field is depicted to be an important aspect that is highlighted in respect to the implementation of the IoT within the agricultural sector. The implementation on the other hand also tends to improve the usability as well as the scalability of the agricultural trends associated with the overall issues related with the module of wireless communication in respect to the automated agricultural system.
The modern time is associated with the transition period of the wired as well as wireless interaction modules within the agricultural sector. The implementation of the IoT services within the environment of the agriculture will significantly help this sector to amplify their business in respect to the usage of different effective services that will tend to amplify the business of the overall sector. The report will be effectively deal with the different aspects of IoT implementation within the agricultural sector thus adhering the concept of automated systems within the fields of agriculture.
The significant aim of the report enhances to achieve the following:
The significant objectives that the report intends to provide are depicted as follows:
The report will potentially evaluate the overall implementation of the IoT in respect to the agricultural sector that will help this sector to evaluate the business in this sector thus reducing the enhanced effort within this field. The scope of the report is to analyse the overall IoT implementation in the agricultural sector thus enhancing this field to be smart for carrying out the business.
According to Krishna et al., (2017), a significant agriculture monitoring system has been introduced that are based on WSN. This monitoring system is depicted to provide effective services to the farmers associated within this field. This monitoring system intends to monitor the overall advantages associated with the farming lands as well as measures the level of productivity associated with the land that is used for the farming and the optimization of the resources used by the farmers for the enhancement of the architecture. Moreover, this monitoring system also helps the farmers to effectively manage the overall chemical usage with the implementation of the UAV’s. This helps the farmers to deal with the overall feedback in respect to the lands that are associated with the sector of the agriculture (Lin et al., 2018). The authors also depicts the usage of the sensors that will be associated in respect to the minimization of the wastage due to the implication of the pesticide within the lands. The embedded monitoring as well as the control system helps the field of agriculture to significantly deal with the overall management of the associated services as well as maintains a significant track in respect to the overall usage of the lands, chemical and pesticide usage in the land, which is used for agriculture (Kapoor et al., 2016). The communication signals that will be used for the effective knowledge of the land usage tends to amplify the usage of the land for significant farming associated with the agricultural sector (Yoon et al., 2018). The article also signifies the usage of the microcontroller systems that are associated with the measurement of the temperature and humidity. These sensors significantly measures the humidity thus identifying the potential time that can be used for the farming. There is also an important system analysed within the article that is associated with the measurement of the greenhouse gas effect that tends to hamper the farming sector. The integrated system also helps the sector to identify the amount of the gas released thus enhancing the overall parameters to deal with the effective farming thus analysing the overall business related with the agriculture (Mehta & Patel, 2016). The article suggests a raspberry Pi model that will be associated with the overall management of the smart agricultural systems to enhance the sector of farming. The picture below represents the overall model that is to be implemented in respect to the smart agricultural systems.
(Image: Framework for IoT Technology implementation)
(Source: Krishna et al., 2017)
The effective model suggests the usage of the effective sensors that are identified as CO2 Sensors, Moisture Sensor, pH Sensor, UV Sensor, Humidity Sensor as well as Thermo Hygro Sensor (Tripathy & Patra, 2020). These are suggested to be effective in respective to the enhancement of the agricultural sectors. The design framework will be efficient in respect to the agricultural sectors.
According to Patil & Kale (2016), the implementation of the significant nodes, servers, gateways, smartphones as well as the databases are effectively taken into consideration in respect to the overall designing of the smart farming systems that are related with the enhancement of the architecture. The effective design that are associated with the implementation of the smart farming system is identified as the hardware as well as the message design. This will effectively carryout the effective implementation procedure of the smart farming systems that are associated with the overall communication of the data within the network module (Shahzadi et al., 2016). The article suggests the effective usage of the wireless communication services within the framework of the smart agricultural system thus adhering the overall fact associated with the network infrastructure of the smart farming systems. The network framework associated with the implementation of the wireless communication channel within the agricultural sector is identified as an important sector that will be associated with the smart implementation of the IoT services. The network server within this framework is depicted to be useful for the significant flow of the overall data that is associated with the effective management of the agricultural systems (Rawal, 2017). The effective communication within this framework uses the Bluetooth as well as LPWAN module for the enhanced management of the data associated with the smart agricultural framework. The communication within the channels will significantly help the sector to attain a great deal of knowledge thus enhancing the overall module to be effective in respect to the sector of agriculture. The significant usage of the temperature sensor is depicted as one of the significant sector that is associated with the overall management of the farming within the agricultural fields thus enhancing the potential of this sector.
The significant research methodology associated with the effective implementation of the IoT in respect to the agricultural sector is identified as the important frameworks associated with the alignment of the noteworthy hardware as well as software implementation. Moreover, the research within this field is carried out effectively as per the qualitative as well as quantitative methods. The significant methodology of the qualitative methods are depicted to be the theoretical frameworks associated with the implementation of the IoT based devices within the effective knowledge of the agricultural based sectors (Prathibha, Hongal & Jyothi, 2017). The literature review analysis provide in the former part of the report analyses the different facts provided by the significant authors that are associated with the research within the automated applications within this sector. The usage of the different sensors as well as the methodology that are aligned with the effective framework of the automated agricultural sector is analysed to be an enhanced methodology associated with the implementation of the IoT techniques within these sectors (Ryu et al., 2015). The selected literatures are potentially reviewed in respect to the overall techniques associated with the implementation of IoT. The conceptual framework that are used in respect to the overall design of the sensors as well as the software sensors implies the significant potential associated with the agricultural sectors.
The significant qualitative research methodology deals with the overall analysis of the literatures that are associated with the implementation of the IoT within the agricultural sector thus enhancing the overall sector to be smart. The literatures that are assessed in respect to the implementation of IoT within this report is depicted to be the most significant aspect in regards to the agricultural field (Nayyar & Puri, 2016). The methodology of research is carried out significantly with the critical analysis of the literatures that are related within this field. These literatures are found to be important in respect to the analysis of the different frameworks that are associated with the implementation of IoT in the agricultural sector. Thus, the implementation frameworks are found to be significant in respect to the enhancement within the agricultural fields. This methodology has provided the importance as well as details of the implementation frameworks as well as helps the agricultural sectors to be effective with the potential implication.
The stated research methodology leads to the fact that the implication of the stated techniques will tend to amplify the ease of work in the field of the agriculture. The significant methodologies that are being implied in respect to the overall management of the different procedures related to the agricultural sectors. The overall discussion of the report deals with the fact that the innovative as well as technological implications may result the agricultural sector to be enhanced. The overall literatures assessed within this report deals with the different frameworks that will significantly help the sector to maintain the enhanced agricultural fields. The significant research methodology adhered within the report helps with the proper analysis of the different technology frameworks that will intend to ease the work in the agricultural sectors. Moreover, the significant hardware as well as the software implications associated with the different frameworks depicted within the report tends to amplify the overall effectiveness in respect to the agricultural sectors.
The significant research methodology associated with the implementation of the different sensors as well as the implemented softwares to be aligned in respect to the hardware methodologies is depicted to be useful in respect to the overall management of the agricultural fields (Suma et al., 2017). The research tends to improvise the overall trends in regards to the implementation of IoT technology within the sector of agriculture thus amplifying the profit in respect to this field. The extensive research associated with the overall implementation of the IoT technology in the environment of the agriculture will be helpful in respect to the enhancement of the business. The important usage of the different frameworks within this field helps in the enhancement of the business within this field (Ray, 2017). The sensors associated with the overall development of the frameworks associated with the different fields is depicted to be significant in respect to the enhancement of the agricultural sectors. The proposed model in the different literatures are stated to be effective in respect to the enhancement of the different sections associated with the agricultural sectors (Channe, Kothari & Kadam, 2015). The implication of the research within this field is related with the different enhancements in respect to the different sections related with the sector of agriculture.
The research also signifies the importance of the IoT technology in the field of agriculture thus enhancing the overall aspects of the different sensors, internet methodologies as well as the network layers associated with the different sectors of the agricultural fields. The significant discussion in respect to the implementation of IoT is identified to enhance the agricultural model associated in the field (Saraf & Gawali, 2017). The implication of the different research statements within this field is stated to be important in respect to the effectiveness associated within this field. The field of agriculture is depicted to possess different sections that will be important in respect to the overall implications of the research thus monitoring the different aspects related within this field.
The significant report deals with the overall implications of the proposed theories as well as frameworks associated with the IoT implementations in the sector of agriculture. The implied research within this field is depicted to be useful in regards to the application of the sensors as well as the network topologies to maintain the network communication in respect to the agricultural sectors. Moreover, the overall implications of the different strategies associated with the implementation of the IoT within this field intends to provide the effective knowledge with respect to the different frameworks associated in the field. Thus, the overall report states that the sector of agriculture will be very helpful with the implementation of the proposed methodologies with the help of the implemented IoT framework within this field.
Channe, H., Kothari, S., & Kadam, D. (2015). Multidisciplinary model for smart agriculture using internet-of-things (IoT), sensors, cloud-computing, mobile-computing & big-data analysis. Int. J. Computer Technology & Applications, 6(3), 374-382.
Kapoor, A., Bhat, S. I., Shidnal, S., & Mehra, A. (2016, October). Implementation of IoT (Internet of Things) and Image processing in smart agriculture. In 2016 International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS) (pp. 21-26). IEEE.
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.
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.
Mehta, A., & Patel, S. (2016). IoT based smart agriculture research opportunities and challenges. Int. J. Technol. Res. Eng, 4, 541-543.
Nayyar, A., & Puri, E. V. (2016, November). Smart Farming: IoT Based Smart Sensors Agriculture Stick for Live Temprature and Moisture Monitoring using Arduino Cloud Computing & Solar Technology. In Conference: The International Conference on Communication and Computing Systems (ICCCS-2016).
Patil, K. A., & Kale, N. R. (2016, December). A model for smart agriculture using IoT. In 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC) (pp. 543-545). IEEE.
Prathibha, S. R., Hongal, A., & Jyothi, M. P. (2017, March). IOT Based monitoring system in smart agriculture. In 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT) (pp. 81-84). IEEE.
Rawal, S. (2017). IOT based smart irrigation system. International Journal of Computer Applications, 159(8), 7-11.
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.
Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and implementation of a connected farm for smart farming system. In 2015 IEEE SENSORS (pp. 1-4). IEEE.
Saraf, S. B., & Gawali, D. H. (2017, May). IoT based smart irrigation monitoring and controlling system. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT) (pp. 815-819). IEEE.
Shahzadi, R., Ferzund, J., Tausif, M., & Suryani, M. A. (2016). Internet of things based expert system for smart agriculture. International Journal of Advanced Computer Science and Applications, 7(9), 341-350.
Suma, N., Samson, S. R., Saranya, S., Shanmugapriya, G., & Subhashri, R. (2017). IOT based smart agriculture monitoring system. International Journal on Recent and Innovation Trends in computing and communication, 5(2), 177-181.
Tripathy, S., & Patra, S. (2020). IoT-Based Precision Agriculture System: A Review. In IoT and WSN Applications for Modern Agricultural Advancements: Emerging Research and Opportunities (pp. 1-7). IGI Global.
Yoon, C., Huh, M., Kang, S. G., Park, J., & Lee, C. (2018, February). Implement smart farm with IoT technology. In 2018 20th International Conference on Advanced Communication Technology (ICACT) (pp. 749-752). IEEE.
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