Abstract
Agriculture has a critical role in the overall development of a country. The demand for food is increasing day by day in the terms of quality and quantity, but the significant growth in crop production is comparatively less. Conventional agricultural process faces many difficulties such as dependence on the human power, weather dependency, lack of knowledge and lack of technology. The solution to this problem is the technology-based agricultural industry. The usages of information and communication technologies (ICT) can be a suitable solution for these problems. In Internet of things (IoT)-based system, the physical objects, e.g. sensor nodes, actuators work collaboratively to build a technology-driven system based on information to maximize the crop productivity. In this paper, a comprehensive review of available IoT solution in the areas of the agriculture is presented. Some of the major targeted areas in the agriculture are selected, e.g. soil health monitoring, crop health monitoring, IoT-based smart irrigation and real-time weather forecasting where automation can be implemented. Here, the overall idea along with the state of the art work in these targeted areas has been provided. The IoT-based crop and soil monitoring, automated irrigation system along with real-time weather forecasting can help to reduce wastage by the effective usage of fertilizer, pesticides and water, thereby increasing crop yield. An IoT architecture in smart agricultural model and a schematic model of IoT-based automated smart agricultural system comprising subsystems like soil health monitoring, crop health monitoring, IoT-based smart irrigation and real-time weather forecasting have been presented. The information obtained from these subsystems can be integrated using artificial intelligent (AI) algorithm, and accordingly, the alert can be sent to the farmer’s mobile.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
United Nations. https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html
United Nations. https://www.un.org/development/desa/en/news/population/world-population-prospects-2017.html
Csoto, M.: Information flow in agriculture—through new channels for improved effectiveness. J. Agric. Inform. 1(2), 25–34 (2010)
MartÃnez, F.J., González, Z.A., Sánchez, N., Gumuzzio, A., Herrero, J.C.M.: Satellite soil moisture for agricultural drought monitoring: assessment of the SMOS derived soil water deficit index. Remote Sens. Environ. 177 (2016)
Agrocares. https://www.agrocares.com/en/products/lab-in-the-box/
Krishi Jagran. http://krishijagaran.com/
Estrada Lopez, J.J., Castillo-Atoche, A.A., Vazquez-Castillo, J., Sanchez-Sinencio, E.: Smart soil parameters estimation system using an autonomous wireless sensor network with dynamic power management strategy. IIEE Sensors J. 18(21) (2018)
Priyanka, P., Sunil, J.: Design and development of cloud-IOT based soil healthy monitoring system. IJSRD Int. J. Sci. Res. Dev. 7 (2019)
Jaishetty, S.A., Reka, P.: IOT sensor network based approach for agricultural field monitoring and control. IJRET Int. J. Res. Eng. Technol. 8(4). ISSN: 2277-3878 (2020)
Suchitra, M., Asuwini, T., Charumathi, M.C., Ritu, N.L.: Monitoring of agricultural crops using cloud and IOT with sensor data validation. Int. J. Pure Appl. Math. 12 (2018)
Hegde, N.G.: Water scarcity and Security in India. BAIF Development Research Foundation, Pune
Indu Gautam, S.R.N.R.: Innovative GSM based remote controlled embedded system for irrigation. Int. J. Comput. Appl. 47(13) (2012)
Suresh, R., Gopinath, S., Govindaraju, K., Devika, T., Suthanthira, N.: GSM based automated irrigation control using Raingun irrigation system. Int. J. Adv. Res. Comput. Commun. Eng. 3 (2014)
Rawal, S.: IOT based smart irrigation system. Int. J. Comput. Appl. 159(8) (2017)
LaRue, J., Fredrick, C.: Decision Process for the Application of Variable Rate Irrigation. American Society of Agricultural and Biological Engineers, Dallas, Texas (2012)
Pavithra, D.S., Srinath, M.S.: GSM based automatic irrigation control system for efficient use of resources and crop planning by using an android mobile. IOSR J. Mech. Civil Eng. (IOSR-JMCE) 11(4, Ver. I), 49–55. e-ISSN: 2278-1684, p-ISSN: 2320-334X (2014)
Gawali, Y.G., Chaudhari, D.S., Chaudhari, H.C.: Automated irrigation system using wireless sensor network. Int. J. Adv. Res. Electron. Commun. Eng. (IJARECE) 5. ISSN: 2278-909X (2016)
Swapnali, B.P., Priti, R., Asif, S.: Smart irrigation system using IOT and Raspberry Pi. Int. Res. J. Eng. Technol. (IRJET) 5. e-ISSN: 2395-0056, p ISSN: 2395-0072 (2018)
Sahu, C., Behera, P.: A low cost smart irrigation control system. In: IEEE Sponsored 2nd International Conference on Electronics and Communication System (ICECS) (2015)
Jadhav, S., Hambarde, S.: Automated irrigation system using wireless sensor network and Raspberry pi. Int. J. Sci. Res. (IJSR) 4, 2056–2058 (2015)
Udin, M.A., Mansour, A., Le Jeune, D., Ayaz, M., Aggoune, E.-H.M.: UAV assisted dynamic clustering of wireless sensor networks for crop health monitoring. Sensors 18(2), 1–24 (2018)
Sabo, A., Qaisar, S.M.: The event-driven power efficient wireless sensor nodes for monitoring of insects and health of plants. In: Proceedings of IEEE 3rd International Conference Signal Image Process, (ICSIP), pp. 478–483 (2018)
Gupta, L., Intwala, K., Khetwani, K., Hanamshet, T., Somkunwar, R.: Smart irrigation system and plant disease detection. Int. Res. J. Eng. Technol. 4(3), 2356–2395 (2017)
Lakshmi, K., Gayathri. S.: Implementation of IoT with Image processing in plant growth monitoring system. J. Sci. Innovative Res. 80–83 (2017)
Shahzadi, R., Ferzund, J., Tausif, M., Asif, M.: Internet of things based expert system for smart agriculture. Int. J. Adv. Comput. Sci. Appl. 7(9), 341–350 (2016)
Zhang, S., Wang, H., Huang, W., You, Z.: Plant diseased leaf segmentation and recognition by fusion of superpixel, K-means and PHOG. Optik 157, 866–872 (2018)
Sakthipriya, N.: An effective method for crop monitoring using wireless sensor network. MiddleEast J. Sci. Res. 20(9), 1127–1132. ISSN 1990-9233 (2014)
Rajesh, D.: Application of spatial data mining for agriculture. Int. J. Comput. Appl. (0975-8887) 15(2) (2011)
Siddagangaiah, S.: A novel approach to IoT based plant health monitoring system. Int. Res. J. Eng. Technol. 3(11), 880–886 (2016)
Chin, Y.S., Audah, L.: Vertical farming monitoring system using the internet of things (IoT). AIP Conf. Proc. 1883(1), 020021 (2017)
Stafford, J.V.: Implementing precision agriculture in the 21st century. J. Agric. Eng. Res. 76, 267–275 (2000)
Kishore, R., Sahu, A.: An IOT based weather information prototype using WeMos. IEEE 978-1-5090-5256-1/16 (2016)
Shaout, A., Li, Y., Zhou, M., Awad, S.: Low cost embedded weather station with intelligent system. IEEE, pp. 100–106 (2014)
Ma, R.-H., Wang, Y.-H., Lee, C.-Y.: Wireless Remote Monitoring System Based on MEMS Technology. ISSN:1424-8220 (2011)
Sowjanya, M., Ameenudin, M.D.: A Reconfigurable Smart Sensor Interface for Weather Monitoring with IOT Environment. IJESRT, ISSN: 2277-9655 (2017)
Mittal, Y., Mittal, A., Bhateja, D., Parmar, K., Mittal, V.K.: Correlating Among Environmental Parameters Using an Online Smart Weather Station System. IEEE INDICON (2015)
Kamble, S.B., Ramana P.R., Pingalkar, A.S., Chayal, G.S.: IOT Based Weather Monitoring System, vol. 3. IJARIIE-ISSN(O)-2395-4396 (2017)
Shinde, S.R., Karode, A.H., Suralkar, S.R.: Review on IOT based environment monitoring system. Int. J. Electron. Commun. Eng. Technol. 8, 103–108 (2017)
Gajbhiye, K.G., Dongre, S.S.: A survey on weather monitoring system in agriculture zone using Zigbee. Int. J. Sci. Res. ISSN: 2319-7064 (2013)
Joseph, F.J.J.: IOT based weather monitoring system for effective analytics. Int. J. Eng. Adv. Technol. 8. ISSN: 2249-8958 (2019)
Alif, Y., Utama, K., Windianto, Y., Hari, Y., Habiburrahman, M.: Design of weather monitoring sensors and soil humidity in agriculture using internet of things (IOT). Trans. Manch. Itell. Artif. Intell. 7(1), 10–20 (2019)
Stringaro, D., Cannata, M.: Boosting a weather monitoring system in low income economics using open and non-conventional systems: data quality analysis. Sensors 19(5), 1–22 (2019)
Siva, K., Ram, S., Gupta, A.N.P.S.: IOT based data logger system for weather monitoring using wireless sensor networks. Int. J. Eng. Trends Technol. 32(2), 71–75 (2016)
Ray, P.P.: Internet of things cloud based smart monitoring of air borne PM2.5 density level. In: International Conference on Signal Processing, Communication, Power an Embedded System (scopes), pp. 995–999 (2016)
Sarnin, S.S., Akbar, A., Mohammad, W.N.W., Idris, A., Naim, N.F., Yacoob, N.: Maleficient mirror with alexa voice services as an internet of things implement using Raspberry pi 3 Model B. In: TENCON 2018, IEEE Region 10 Conference, pp. 12012–1207 (2018)
Fang, S., Xu, L.D., Zhu, Y., Ahati, J., Pei, H., Yan, J., Liu, Z.: An integrated system for regional environment monitoring and management based on internet of things. IEEE Trans. Ind. Inf. 10(2) (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Pandey, A.K., Mukherjee, A. (2022). A Review on Advances in IoT-Based Technologies for Smart Agricultural System. In: Pattnaik, P.K., Kumar, R., Pal, S. (eds) Internet of Things and Analytics for Agriculture, Volume 3. Studies in Big Data, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-16-6210-2_2
Download citation
DOI: https://doi.org/10.1007/978-981-16-6210-2_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6209-6
Online ISBN: 978-981-16-6210-2
eBook Packages: EngineeringEngineering (R0)