Internet of Things (IoT) in Agriculture: The Idea of Making the Fields Talk
DOI:
https://doi.org/10.18034/ei.v8i2.522Keywords:
Agriculture, Innovation, Internet of Things, Sensor, ScalabilityAbstract
The demand for agricultural crops is moving at a slower pace compared to the human population. There must be increased agricultural productivity. Ongoing innovative advances have added to the ascent of exactness agribusiness, empowering farmers to settle on better choices with more data about their soil, water, yield, and local environment, yet has been generally restricted to popularized and production of cash crops. The objective of smart agribusiness research is to ground a dynamic emotionally supportive network for the management of farms. IoT is being used in agriculture to get to know the crop field by utilizing sensors for monitoring, controlling in the field. It is used to get to know the crop field by utilizing sensors for monitoring, controlling in the field, etc. Recent developments in IoT, comparison between traditional and smart agriculture, and the roles of IoT in agriculture were analyzed in this study. The articles were purposively inspected while the qualitative data gathered was dissected utilizing content analysis. Summarily, the rise of smart agriculture has lowered the practice of traditional farming, as it has enhanced it in no small way. The research likewise showed that the lacuna in agriculture can be filled with IoT. Scalability in technology should be encouraged without affecting the functionalities of the existing infrastructures.
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Adio E. O., Abu Y., YUsuf S. K., and Nansoh S., (2016). Use of agricultural information sources and services by farmers for improve productivity in Kwara state. Library Phil. Pract. (e-J)
Agricultural Robots and Drones to Become a 45 Billion Dollar Industry by 2038. Accessed online: Apr. 15, 2019.
Ahmed, A. A. A., Donepudi, P. K., & Asadullah, A. B. M. (2020). Artificial Intelligence in Clinical Genomics and Healthcare. European Journal of Molecular & Clinical Medicine, 7(11), 1194-1202, https://ejmcm.com/?_action=article&au=24014
Akka M. A. & Sokullu R., (2017). An IoT-based greenhouse monitoring system with Micaz motes. Procedia Comput. Sci., vol. 113, pp. 603_608.
Álvarez-Arenas T. G., Gil-Pelegrin E., Cuello J. E., Fariñas M. D., Sancho-Knapik D., Burbano D. A. C., and Peguero-Pina J. J., (2016). Ultrasonic sensing of plant water needs for agriculture. Sensors, vol. 16, no. 7, p. 1089. DOI: https://doi.org/10.3390/s16071089
Antony, A. P., Leith, K., Jolley, C., Lu, J., & Sweeney, D. J. (2020). A Review of Practice and Implementation of the Internet of Things (IoT) for Smallholder Agriculture. 1–19. DOI: https://doi.org/10.3390/su12093750
Ayaz, M., Member, S., & Member, M. A. S. (2019). Internet-of-Things (IoT) based Smart Agriculture : Towards Making the Fields Talk. XX. https://doi.org/10.1109/ACCESS.2019.2932609
Ayaz, M.; Ammad-Uddin, M.; Sharif, Z.; Mansour, A.; Aggoune, E.-H.M. (2019). Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk. IEEE Access, 7, 129551–129583.
Bac C. W., Hemming J., van Tuijl B. A. J., Barth R., Wais E., and van Henten E. J., (2017). Performance evaluation of a harvesting robot for sweet pepper. J. Field Robot., vol. 34, no. 6, pp. 1123_1139. DOI: https://doi.org/10.1002/rob.21709
Barnett I., Faith B., Gordon J., and Sefa-Nyarko C., (2019). External evaluation of mobile phone technology-based nutrition and agriculture advisory services in Africa and South Asia. Mobile Phones, Agricult., Nutrition Ghana, Qualitative Midline Study Rep. Brighton, Tech. Rep.
Baumüller H., (2015) ``Agricultural innovation and service delivery through mobile phones analyses in kenya,'' Ph.D. dissertation, Fac. Agricult., Univ. Bonn, Bonn, Germany.
Baumüller H., (2018). The little we know: An exploratory literature review on the utility of mobile phone-enabled services for smallholder farmers. J. Int. Develop., vol. 30, no. 1, pp. 134_154. DOI: https://doi.org/10.1002/jid.3314
BBC. (2019). The High-Tech Farming Revolution; BBC World News: London, UK.
Bronars S. G., (2015). A vanishing breed: How the decline in U.S. Farm laborers over the last decade has hurt the U.S. economy and slowed production on American farms. New American Economy, Tech. Rep.
Cameron D., Osborne C., Horton P., and Sinclair M., (2015). A sustainable model for intensive agriculture. Univ. Shef_eld, Shef_eld, U.K., Tech. Rep.
Chung S.-O., Choi M.-C., Lee, K.-H. Kim Y.-J., Hong S.-J., and Li M (2016.). Sensing technologies for grain crop yield monitoring systems: A review. J. Biosyst. Eng., vol. 41, no. 4, pp. 408_417, DOI: https://doi.org/10.5307/JBE.2016.41.4.408
Donepudi, P. K. (2020). Reinforcement Learning for Robotic Grasping and Manipulation: A Review. Asia Pacific Journal of Energy and Environment, 7(2), 69-78. https://doi.org/10.18034/apjee.v7i2.526 DOI: https://doi.org/10.18034/apjee.v7i2.526
Donepudi, P. K., Ahmed, A. A. A., Hossain, M. A., & Maria, P. (2020). Perceptions of RAIA Introduction by Employees on Employability and Work Satisfaction in the Modern Agriculture Sector. International Journal of Modern Agriculture, 9(4), 486–497. https://doi.org/10.5281/zenodo.4428205
Dvorak J. S., Stone M. L., and Self K. P., (2016). Object detection for agricultural and construction environments using an ultrasonic sensor. J. Agricult. Saf. Health, vol. 22, no. 2, pp. 107_119.
Dwivedi Y.K., Shareef M.A., Simintiras A.C., Lal B., Weerakkody V., (2016). A generalized adoption model for services: a cross-country comparison of mobile health (mhealth). Govern. Inf. Quart. 33 (1)74–187
E. Sisinni, A. Saifullah, S. Han, U. Jennehag and M. Gidlund. (2018). Industrial Internet of Things: Challenges, Opportunities, and Directions, in IEEE Transactions on Industrial Informatics, vol. 14, no. 11, pp. 4724-4734, Nov. 2018.
Farm Labor. Accessed: Apr. 20, 2019. [Online].
Farooq, M. S., Riaz, S., Abid, A., Umer, T., &Zikria, Y. Bin. (2020). Role of IoT Technology in Agriculture : A Systematic Literature Review. DOI: https://doi.org/10.3390/electronics9020319
Fu X. and Akter S., (2016). The impact of mobile phone technology on agricultural extension services delivery: Evidence from India. J. Develop. Stud., vol. 52, no. 11, pp. 1561_1576.
Gray, B.; Babcock, L.; Tobias, L.; McCord, M.; Herrera, A.; Cadavid, R. (2018). Digital Farmer Profiles: Reimagining Smallholder Agriculture; Grameen Foundation: Washington, DC, USA.
Guler E., Sengel T. Y., Gumus Z. P., Arslan M., Coskunol H., Timur S., and Yagci Y., (2017). Mobile phone sensing of Cocaine in a lateral flow assay combined with a biomimetic material. Anal. Chem., vol. 89, no. 18, pp. 9629_9632. DOI: https://doi.org/10.1021/acs.analchem.7b03017
Hidrobo M. and Gilligan D., (2017). Using quantitative methods to evaluate mobile phone technology based nutrition and agriculture advisory services in Ghana. Brighton, U.K., Tech. Rep.
Hoogeveen M., Ono Y., Pfister S., Boulay A.-M., Berger M., Nansai K., Tahara K., Itsubo N., & Inaba A. (2018). Consistent characterization factors at midpoint and endpoint relevant to agricultural water scarcity arising from freshwater consumption. Int. J Life Cycle Assessment, vol. 23, no. 12, pp. 2276_2287, doi: 10.1007/s11367-014-0811-5. DOI: https://doi.org/10.1007/s11367-014-0811-5
Husni M. I., Hussein M. K. , ZainaM. S. B. l, Hamzah A., Nor D. M., and Poad H., (2018). Soil moisture monitoring using _eld programmable gate array. Indonesian J. Elect. Eng. Comput. Sci., vol. 11, no. 1, pp. 169_174.
K. Al-Saeidi, M. Al-Emran, T. Ramayah, E. Abusham, (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society 62, 101293. https://doi.org/10.1016/j.techsoc.2020.101293 DOI: https://doi.org/10.1016/j.techsoc.2020.101293
Kalavani A., Kazerani M., Shekofteh M., (2018). Acceptance of Evidence based medicine (EBM) databases by Iranian medical residents using unified theory of acceptance and use of technology (UTAUT), Health Policy and Technology, 7(3), 287–92. https://doi.org/10.1016/j.hlpt.2018.06.00553
Kong Q., Chen H., Mo Y. L., and Song G., (2017). Real-time monitoring of water content in sandy soil using shear mode piezoceramic transducers and active sensing: A feasibility study. Sensors, vol. 17, no. 10, p. 2395. DOI: https://doi.org/10.3390/s17102395
Koyenikan M. J. and Ighoro A., (2015). Farmers' use of mobile phone-based services for accessing agriculture and rural development information in northern zone of Edo State, Nigeria. Nigerian J. Rural Sociology, vol. 16, no. 2, pp. 23_28.
M. Ayaz, M. Ammad-uddin, I. Baig and e. M. (2018). Aggoune, "Wireless Sensor‘s Civil Applications, Prototypes, and Future Integration Possibilities: A Review. in IEEE Sensors Journal, vol. 18, no. 1, pp. 4-30, 1 Jan.1, 2018.
M. Ayaz, M. Ammad-Uddin, I. Baig, and E.-H. M. Aggoune, (2018). Wireless sensor's civil applications, prototypes, and future integration possibilities: A review. IEEE Sensors J., vol. 18, no. 1, pp. 4_30. DOI: https://doi.org/10.1109/JSEN.2017.2766364
Masuka B., Matenda T., Chipomho J., Mapope N., Mupeti S., Tatsvarei S., and Ngezimana W., (2016). Mobile phone use by small-scale farmers: A potential to transform production and marketing in Zimbabwe. South Afr. J. Agricult. Extension, vol. 44, no. 2, pp. 121_135. DOI: https://doi.org/10.17159/2413-3221/2016/v44n2a406
Medela, A.; Cendón, B.; González, L.; Crespo, R.; Nevares, I. (2013). IoT multiplatform networking to monitor and control wineries and vineyards. In Proceedings of the 2013 Future Network Mobile Summit, Lisboa, Portugal, 3–5 July 2013; pp. 1–10.
Muhammad Ayaz, Mohammad Ammad-uddin, Zubair Sharif, Ali Mansour, and el-Hadi M. Aggoune (2019). Internet-of-Things (IoT) based Smart Agriculture: Towards Making the Fields Talk. 10.1109/ACCESS.2019.2932609, IEEE Access DOI: https://doi.org/10.1109/ACCESS.2019.2932609
Murray S. C., (2018). Optical sensors advancing precision in agricultural production. Photon. Spectra, vol. 51, no. 6, p. 48.
Nakato G. V., Beed F., Bouwmeester H., Ramathani I., Mpiira S., Kubiriba J., and Nanavati S., (2016). Building agricultural networks of farmers and scientists via mobile phones: Case study of banana disease surveillance in Uganda. Can. J. Plant Pathol., vol. 38, no. 3, pp. 307_316. DOI: https://doi.org/10.1080/07060661.2016.1230149
Nzie J. R. M., Bidogeza J. C., and Ngum N. A., (2017). Mobile phone use, transaction costs, and price: Evidence from rural vegetable farmers in Cameroon. J. Afr. Bus., vol. 19, pp. 323_342,
O. Elijah, T. A. Rahman, I. Orikumhi, C. Y. Leow and M. N. Hindia, (2018). An Overview of Internet of Things (IoT) and Data Analytics in Agriculture: Benefits and Challenges. in IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3758-3773, Oct. 2018. DOI: https://doi.org/10.1109/JIOT.2018.2844296
Oliveira K. V. de, Castelli H. M. E., Montebeller S. J., & Avancini T. G. P., (2017). Wireless sensor network for smart agriculture using ZigBee protocol. in Proc. IEEE 1st Summer School Smart Cities (S3C), Natal, Brazil, Aug. 2017, pp. 61_66.
Qian J.-P., Yang X.-T., Wu X.-M., Xing B., Wu B.-G., and Li M., (2015). Farm and environment information bidirectional acquisition system with individual tree identi_cation using smartphones for orchard precision management. Comput. Electron. Agricult., vol. 116, pp. 101_108.
Ratnaparkhi, S., Khan, S., Arya, C., Khapre, S., & Singh, P. (2020). Materials Today : Proceedings Smart agriculture sensors in IOT : A review. Materials Today: Proceedings, xxxx. https://doi.org/10.1016/j.matpr.2020.11.138 DOI: https://doi.org/10.1016/j.matpr.2020.11.138
S. Navulur, A.S.C.S. Sastry, M. N. (2017). Giri Prasad, "Agricultural Management through Wireless Sensors and Internet of Things" International Journal of Electrical and Computer Engineering (IJECE), 2017; 7(6) :3492-3499.
Sales, Nelson, Orlando, R. & Artur, A. (2015). Wireless sensor and actuator system for smart irrigation on the cloud. IEEE 2nd World Forum on Internet of Things (WF-IoT). https://doi.org/10.1109/WF-IoT.2015.7389138 DOI: https://doi.org/10.1109/WF-IoT.2015.7389138
Shamshiri R. R, Kalantari F., Ting K. C., Thorp K. R., Hameed I. A., Weltzien C., Ahmad D., and Shad Z. M., (2018). Advances in greenhouse automation and controlled environment agriculture: A transition to plant factories and urban agriculture. Int. J. Agricult. Biol. Eng., vol. 11, no. 1,pp. 1_22. DOI: https://doi.org/10.25165/j.ijabe.20181101.3210
Smart-Farming-Market-to-Reach-23-14-Billion-by-2022.html
Sönmez M. F. I _k, Y., lmaz C. Y_, Özdemir V., and lmaz E. N. Y, (2017). Precision irrigation system (PIS) using sensor network technology integrated with IOS/Android application. Appl. Sci., vol. 7, no. 9, p. 891.
Sousa F., Nicolay G., and Home R., (2019). Video on mobile phones as an effective way to promote sustainable practices by facilitating innovation uptake in mali. Int. J. Sustain. Develop. Res., vol. 5, no. 1, pp. 1_8. DOI: https://doi.org/10.11648/j.ijsdr.20190501.11
Srivastava, R., Sharma, V., Jaiswal, V., Raj, S., Tech, B., Krishna, C. S. E., College, E., & Pradesh, U. (2020). A RESEARCH PAPER ON SMART AGRICULTURE USING IOT. July, 2708–2710.
Šumak B., Šorgo A., (2016). The acceptance and use of interactive whiteboards among teachers: differences in UTAUT determinants between pre- and post-adopters. Comput Hum Behav, 64, 602–20. https://doi.org/10.1016/j.chb.2016.07.037 DOI: https://doi.org/10.1016/j.chb.2016.07.037
Vadlamudi, S. (2016). What Impact does Internet of Things have on Project Management in Project based Firms?. Asian Business Review, 6(3), 179-186. https://doi.org/10.18034/abr.v6i3.520
Vadlamudi, S. (2017). Stock Market Prediction using Machine Learning: A Systematic Literature Review. American Journal of Trade and Policy, 4(3), 123-128. https://doi.org/10.18034/ajtp.v4i3.521
Vadlamudi, S. (2019). How Artificial Intelligence Improves Agricultural Productivity and Sustainability: A Global Thematic Analysis. Asia Pacific Journal of Energy and Environment, 6(2), 91-100. https://doi.org/10.18034/apjee.v6i2.542 DOI: https://doi.org/10.18034/apjee.v6i2.542
Venkatesh V. Morris M., Davis G., Davis F., (2003). User acceptance of information technology: Toward a unified view, MIS Quarterly, 27(3) (2003) 425-478. https://doi.org/10.2307/30036540
Water for Sustainable Food and Agriculture by FAO. Accessed: Apr. 15, 2019. Available: https://www.fao.org/3/a-i7959e.pdf
Wietzke A., Westphal C., Gras P., Kraft M., Pfohl K., Karlovsky P., Pawelzik E., Tscharntke T., and Smit I., ( 2018). Insect pollination as a key factor for strawberry physiology and marketable fruit quality, Agricult., Ecosyst. Environ., vol. 258, pp. 197_204,. DOI: https://doi.org/10.1016/j.agee.2018.01.036
World Bank, CIAT and CATIE. 2015. Climate-smart agriculture in Peru. CSA country profiles for Latin America series. Washington, DC: The World Bank Group.
Wyche S. and Steinfield C., (2016). Why don't farmers use cell phones to access market prices? Technology affordances and barriers to market information services adoption in rural Kenya. Inf. Technol. Develop., vol. 22, no. 2, pp. 320_333. DOI: https://doi.org/10.1080/02681102.2015.1048184
Yu Q., Shi Y., Tang H., Yang P., Xie A., Liu B., and Wu W., (2017). eFarm: A tool for better observing agricultural land systems. Sensors, vol. 17, no. 3, p. 453.
Zhao Y., Gong L., Huang Y., and Liu C., (2016). A review of key techniques of vision-based control for harvesting robot. Comput. Electron. Agricult., vol. 127, pp. 311_323. DOI: https://doi.org/10.1016/j.compag.2016.06.022
Zujevs A., Osadcuks V., and Ahrendt P., (2015). Trends in robotic sensor technologies for fruit harvesting: 2010-2015. Procedia Comput. Sci., vol. 77, pp. 227_233. DOI: https://doi.org/10.1016/j.procs.2015.12.378
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