This study focuses on the impact of Internet of Things (IoT) in the farming industry. It discusses the benefits of using IoT in farming and provides recommendations for future integration.
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Running head: IOT IN FARMING Assignment 3: IOT in Farming Proposal
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2 IOT IN FARMING Table of Contents Chapter 1: Introduction....................................................................................................................3 1.1Background.......................................................................................................................3 1.2Rationale...........................................................................................................................3 1.3Problem statement.............................................................................................................4 1.4Aim, Objectives and Research Questions.........................................................................4 1.5Conceptual Framework.....................................................................................................5 1.6 Research Structure.................................................................................................................6 Chapter 2: Literature Review...........................................................................................................7 2.1 Concept of IoT.......................................................................................................................7 2.2 IoT in Agriculture and farming..............................................................................................7 2.3 Impact of IoT in farming.......................................................................................................8 Chapter 3: Research Methodology................................................................................................10 References......................................................................................................................................12
3 IOT IN FARMING Chapter 1: Introduction 1.1Background Agriculture has been one of the important industry all over the world. Traditional form of farming has been capitalizing the market over a long years. However, with the enhancement in the technical advances in all fields including agriculture and farming. There have been rapid changeinthemethodoffarmingwiththeimplementationofInternetofThings(IOT) (Bhattacharjee et al., 2017). The implementation of IoT has been changing the concept of traditional methods of farming all over the world.The concept of IoT has been rejected to the advance technology that might help in proper production of crops and farming products with the help of technology. Modern traits of farming have been influenced by the use of IOT (Kamilaris et al., 2016). The concept of IoT has been depended on interconnected computing devices for transferring data without human interaction. This has been helping in gathering data about growth of crops in the field. This study has focused on impact of Internet of Things in farming industry.Various issues faced due to traditional method of farming will be discussed in the study. Benefits of using IoT in farming will be critically analysed in the study. 1.2Rationale Agriculture has been providing major economy to most of the countries in the world.This have been contributing a large section in the GDP of country (Pan, Xi & Hao, 2016). Therefore, the implementation of IoT in farming industry has been providing smart opportunities for development of crops in the fields. The major objective of IoT has been creating a smart environment using advanced technologies including sensors, communication protocols and
4 IOT IN FARMING embedded devices.The There have been various physical devices including microprocessors, microcontrollers and sensors that can be directly communicate with the internet (Agrawal et al., 2016). There has been major issues faced due to traditional method of agriculture and farming including loss in crops and not able to meet demand of the market. The production of crop have been low due to traditional equipment (Niswar et al., 2018). The quality pf crops have been decreasing and loss has been increased due to insects and poor implantation. According to global survey in agriculture department, there has been 19% loss in agricultural products including diofferent types of crops due to insects and other wastages (Ryu et al., 2015). This research will focus on these issues faced in agriculture and farming industry due to traditional method. The implementation of IoT in farming and its benefits will be discussed in this study.This study will help in providing recommendations for future aspects of IOT in farming industry. 1.3Problem statement The primary problem in this context has been the loss and damage in crops. The production of crops have been not able to maintain the demand of the market.The controlling and monitoring of crops have been a major problem in traditional method of farming. 1.4Aim, Objectives and Research Questions The aim of the study is to analyze the impact of IOT in farming industry. This study will focus on the benefits and future of IoT in farming industry. The main objectives of the study have been mentioned below: ï‚·To identify issues in traditional method of farming
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5 IOT IN FARMING ï‚·To analyze the impact of IoT in farming industry ï‚·To recommend strategies for improving integration of IoT in farming industry Following are the research questions: ï‚·What issues are faced due to traditional method of farming? ï‚·What is the impact of IoT in farming industry? ï‚·How implementation of IoT in farming industry can be improved for future use? 1.5Conceptual Framework Figure 1: Conceptual Framework (Source: Created by author)
6 IOT IN FARMING 1.6 Research Structure Figure 2: Research Structure (Source: Created by Author) Chapter 1: Introduction Chapter 2: Literature Review Chapter 3: Research Methodology Chapter 4: Data Findings and Analysis Chapter 5: Conclusison and Recommendations
7 IOT IN FARMING Chapter 2: Literature Review 2.1 Concept of IoT The Internet of Things has been a system of interconnected computing devices that help in proper communication and data transfer without any interaction of humans. There have been different advanced technologies used in this concept including sensors, embedded devices and communication protocols (Kumar & Venkatesh, 2018). The implementation of IoT has been aiming at creating smart environment in various fields including agriculture, health, education and smart transport. It provides a network in which physical objects for exchanging data internally and with connected devices. There have been use of several physical devices including microcontrollers, actuators, sensors and microprocessors that are not able to communicate directly and take use of IoT gateway (Kim, Lee & Shin, 2018). Therefore, IoT helps in creating a virtual gateway system for the devices to communicate with each other in connected medium. The use of the IoT has been helping in maintaining a keen approach in the growth of several industries. The implementation of IoT has been changing the concept of traditional methods of farming all over the world. 2.2 IoT in Agriculture and farming There has been many researches dine in the field of IoT and farming. Various farming techniques have been invented for increasing the production and quality of crops in the market. The Internet of Things have been bringing revolutionary changes in agriculture. There have been various challenges in this industry including high cost of investment, limitation of land and lack of awareness among farmers for using better farming techniques. There have been lack of quality seeds and monitoring methods (Bacco et al., 2018). This have been creating serious issues in the
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8 IOT IN FARMING farming industry. The use of IoT in agriculture has been helping in providing a smart approach in the development of agriculture industry. IoT has helped farmers in learning new advanced techniques of farming in the fields. These new techniques have been helping in minimizing loss in crops. IoT has been helping in creating smart agriculture techniques and methods. There has been use of sensors and cameras that help in monitoring growth of crops in the field. The use of IoT in the farming has been helping in controlling and monitoring the growth of crops (Kumar & Venkatesh, 2018). The crop productivity has been decreased in recent years due to improper management of crops. Smart farming include the utilization of Information Communication Technology (ICT) and Internet of Things (IoT). These advanced technologies have been helping in maintaining a smart approach in the production of crops in the field. 2.3 Impact of IoT in farming Internet of Things (IoT) has been creating several opportunities in the farming industry, The benefits of the IoT has been helping in minimizing several challenges in the farming industries including lack of land, lack of awareness, decreasing productivity of crops and lack of quality seeds. IoT has been helping in conserving water for future use in the irrigation. It has been helped in transforming irrigation system into smart irrigation system. The usage of water has been limited with the help of IoT sensors. The concept of IOT has been rejected to the advance technology that might help in proper production of crops and farming products with the help of technology (Kumar & Venkatesh, 2018). This help in minimizing the wastage of water during irrigation. The use of IoT have been helping in increasing the production of crops in the field. Various modern techniques of production have been implemented in the agricultural filed. The quality of production has been increased with the implementation of IoT in the agriculture. New equipment including Variable Rate technology (VRT), Smart Irrigation, Smart Greenhouse
9 IOT IN FARMING and Yield Monitoring (Kumar & Venkatesh, 2018). VRT focuses on any technology that enables producers for varying the rate of crop inputs. It helps in combining a variable rate (VR) control system with application equipment for applying inputs at various precious units. The smart irrigation helps in enhancing the efficiency of irrigation processes and minimizes loss in water (Kamilaris et al., 2016). The implementation of IOT has been changing the concept of traditional methods of farming all over the world.There has been increase in awareness of conserving existing water resources by implementing different efficient irrigation system. Smart greenhouse helps farmers for cultivating crops with minimal human intervention. Various climatic conditions including temperature, humidity and soil moisture have been monitored under this technology. This helps in providing special monitoring and controlling weather conditions in the particular area where crops are grown (Niswar et al., 2018). This helps in maintaining a keen approach in the growth of crops. Soli monitoring system has been helping in checking the fertility of soli so that proper seeds can be provided in the soil. This technology helps in allowing monitoring of physical, chemical and biological properties of soil. The supply chain management system has been increased due to the IoT implementation. The inventory control can be managed by the use of IoT devices. There have been automated system developed that helps in keeping track of the inventory system and update about the need of any products automatically.Therefore, the demand of raw materials can be settled by the use of IoT devices (Niswar et al., 2018). There have been various drones and cameras surrounding the irrigation area that helps in monitoring growth of crops.
10 IOT IN FARMING Chapter 3: Research Methodology Research methodology focuses on the scientific approach of the study that need to be used for completing the research. There have been various techniques and methods that help in completing the research in a proper manner (Alvesson & Sköldberg, 2017).The research will follow a qualitative method for approaching the study. The descriptive research design has been taken in the research for describing all the aspects of IoT in the farming industry.The use of deductive research approach will help in focusing in the objectives of the research. The research objectives and question have been the main focus of the research. Data collection has been the main part of the research (Bauer, 2014). Data collection process have been of two types including primary and secondary method of data collection.Primary data collection method deals with raw data. Online survey needs to be created using Google forms and send to participants of the survey. The answers of the questions used to be data and information of the research. Secondary data collection method deals with collecting data from interviews, online journals, articles and books. In this case data has been collected from secondary method of data collection (Ledford & Gast, 2018). Face to face interviews will be taken with three professional agriculturist and three open ended questions will be asked to them.The views and answers of these question swill be recorded as data and information of the research. Data for literature review will be collected from online journals and books. These journals will be published after 2012 and have proper author names. Data Analysis can be categorized into two types including quantitative and qualitative data analysis method. Quantitative data analysis method deals with primary method of data collection. Qualitative data analysis method refers to secondary method of data collection (Mackey & Gass, 2015). Therefore, qualitative data analysis method will be selected for the study.Three themes will be created related to the objectives of the research.
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11 IOT IN FARMING The data collected from interview will be properly analysed.The concept of IOT has been rejected to the advance technology that might help in proper production of crops and farming products with the help of technology. The importance of the IoT on farming will be properly analyzed.This research will use all the ethical values and consideration under the academic research guidelines.Data and information related to the research will be kept safe under the Data Protection Act 1998 (Mackey & Marsden, 2015). No data will be tampered during the data analysis method. Results and outcomes will not be published before the completion of the research. Task NameDurationStartFinishPredecessors IOT in Farming90 daysWed 8/1/18Tue 12/4/18 Selection of the Topic5 daysWed 8/1/18Tue 8/7/18 Collection of Data from secondary sources15 daysWed 8/8/18Tue 8/28/181 Preparing the layout20 daysWed 8/29/18Tue 9/25/18 Review of Literature10 daysWed 8/29/18Tue 9/11/182,1 Developing plan for the research20 daysWed 8/29/18Tue 9/25/182 Selectingappropriatetechniquesfor research35 daysWed 9/26/18Tue 11/13/18 Collection of Secondary data20 daysWed 9/26/18Tue 10/23/185,3 Data Analysis & Interpretation15 daysWed 10/24/18Tue 11/13/187 Findings and Discussion15 daysWed 11/14/18Tue 12/4/18 Conclusion to the study2 daysWed 11/14/18Thu 11/15/188 Preparing Rough Draft6 daysFri 11/16/18Fri 11/23/1810 Completion of Final Work7 daysMon 11/26/18Tue 12/4/1811 Table 1: Timeline
12 IOT IN FARMING (Source: Created by Author)
13 IOT IN FARMING References Agrawal, H., Prieto, J., Ramos, C., & Corchado, J. M. (2016, September). Smart feeding in farming through IoT in silos. InThe International Symposium on Intelligent Systems Technologies and Applications(pp. 355-366). Springer, Cham. Alvesson, M. & Sköldberg, K., (2017).Reflexive methodology: New vistas for qualitative research. Sage. Bacco, M., Berton, A., Ferro, E., Gennaro, C., Gotta, A., Matteoli, S., ... & Zanella, A. (2018, May). Smart farming: Opportunities, challenges and technology enablers. In2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany)(pp. 1-6). IEEE. Bauer, G.R., (2014). Incorporating intersectionality theory into population health research methodology: Challenges & the potential to advance health equity.Social science & medicine,110, pp.10-17. Bhattacharjee, A., Das, P., Basu, D., Roy, S., Ghosh, S., Saha, S., ... & Rana, T. K. (2017, October). Smart farming using IOT. In2017 8th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)(pp. 278-280). IEEE. Jennings, H., Slade, M., Bates, P., Munday, E. & Toney, R., (2018). Best practice framework for Patient & Public Involvement (PPI) in collaborative data analysis of qualitative mental health research: methodology development & refinement.BMC psychiatry,18(1), p.213.
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14 IOT IN FARMING Kamilaris, A., Gao, F., Prenafeta-Boldú, F. X., & Ali, M. I. (2016, December). Agri-IoT: A semantic framework for Internet of Things-enabled smart farming applications. In2016 IEEE 3rd World Forum on Internet of Things (WF-IoT)(pp. 442-447). IEEE. Kim, S., Lee, M., & Shin, C. (2018). IoT-Based Strawberry Disease Prediction System for Smart Farming.Sensors,18(11), 4051. Kumar, C. K., & Venkatesh, V. (2018). Cloud based soil monitoring and smart irrigation system usingIoTandprecisionfarming.InternationalJournalofPureandApplied Mathematics,119(18), 2011-2020. Ledford, J.R. & Gast, D.L., (2018).Single case research methodology: Applications in special education & behavioral sciences. Routledge. Lewis,S.,(2015).Qualitativeinquiry&researchdesign:Choosingamongfive approaches.Health promotion practice,16(4), pp.473-475. Mackey,A.&Gass,S.M.,(2015).Secondlanguageresearch:Methodology&design. Routledge. Mackey,A.&Marsden,E.eds.,(2015).Advancingmethodology&practice:TheIRIS repository of instruments for research into second languages. Routledge. Niswar, M., Wainalang, S., Ilham, A. A., Zainuddin, Z., Fujaya, Y., Muslimin, Z., ... & Fall, D. (2018, November). IoT-based Water Quality Monitoring System for Soft-Shell Crab Farming. In2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)(pp. 6-9). IEEE.
15 IOT IN FARMING Pan, L., Xu, M., Xi, L., & Hao, Y. (2016, December). Research of livestock farming IoT system based on RESTful web services. In2016 5th International Conference on Computer Science and Network Technology (ICCSNT)(pp. 113-116). IEEE. Ryu, M., Yun, J., Miao, T., Ahn, I. Y., Choi, S. C., & Kim, J. (2015, November). Design and implementationofaconnectedfarmforsmartfarmingsystem.In2015IEEE SENSORS(pp. 1-4). IEEE.