Abstract
The purpose of this chapter is to discuss the design and construction of a smart irrigation system, sensor-based system powered by an IOT (Internet of Things) chip (ESP8266). The design of this irrigation system can be divided into two parts: one is the hardware arrangement which is a low-cost rope and pulley arrangement elegantly designed to cover the crop fields to control the moisture of soil along with other actuators discussed in detail in this chapter, and the other part is an intelligent low-cost IOT-based control system, which can be programmed based on the moisture requirement of a particular crop. The feedback to this control system is sent through moisture, temperature, and rain sensors situated in the crop field, the data of which can also be wirelessly accessed through any open-source IOT platform which can be a desktop or mobile application. The system has also been designed to store the sensor data on a memory card integrated itself in the control system, which is helpful for future research and study of environmental factors on crop production. The system is designed to maintain constant level of moisture in the field by analyzing environmental conditions such as rain or change in temperature of the soil.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Islam, A., & Sikka, A. K. (2010). Climate change and water resources in India: Impact assessment and adaptation strategies. In M. K. Jha (Ed.), Natural and anthropogenic disasters. Dordrecht: Springer.
Sivagami, A., Hareeshvare, U., Maheshwar, S., et al. (2018). Automated irrigation system for greenhouse monitoring. Journal of The Institution of Engineers (India): Series A, 99, 183. https://doi.org/10.1007/s40030-018-0264-0.
World must sustainably produce 70 percent more food by mid-century -UN report. (2018, December 8). Retrieved from https://news.un.org/en/story/2013/12/456912
Why IoT, big data & smart farming are the future of agriculture. (2018, December 8). Retrieved from https://www.businessinsider.com/internet-of-things-smart-agriculture-2016-10?IR=T
Koduru, S., Padala, V. G. D. P. R., & Padala, P. (2019). Smart irrigation system using cloud and internet of things. In C. Krishna, M. Dutta, & R. Kumar (Eds.), Proceedings of 2nd international conference on communication, computing and networking (Lecture notes in networks and systems) (Vol. 46). Singapore: Springer.
Dasgupta, A., Daruka, A., Pandey, A., Bose, A., Mukherjee, S., & Saha, S. (2019). Smart irrigation: IOT-based irrigation monitoring system. In M. Chakraborty, S. Chakrabarti, V. Balas, & J. Mandal (Eds.), Proceedings of international ethical hacking conference 2018 (Advances in intelligent systems and computing) (Vol. 811). Singapore: Springer.
Caetano, F., Pitarma, R., & Reis, P. (2015). Advanced system for garden irrigation management. In A. Rocha, A. Correia, S. Costanzo, & L. Reis (Eds.), New contributions in information systems and technologies (Advances in intelligent systems and computing) (Vol. 353). Cham: Springer.
Bhuvaneswari, C., Vasanth, K., Shyni, S. M., & Saravanan, S. (2019). Smart solar energy based irrigation system with GSM. In L. Akoglu, E. Ferrara, M. Deivamani, R. Baeza-Yates, & P. Yogesh (Eds.), Advances in data science. ICIIT 2018 (Communications in computer and information science) (Vol. 941). Singapore: Springer.
Meeradevi, S. M. A., Mundada, M. R., & Pooja, J. N. (2019). Design of a smart water-saving irrigation system for agriculture based on a wireless sensor network for better crop yield. In A. Kumar & S. Mozar (Eds.), ICCCE 2018. ICCCE 2018 (Lecture notes in electrical engineering) (Vol. 500). Singapore: Springer.
Jiang, X., Yi, W., Chen, Y., & He, H. (2018). Energy efficient smart irrigation system based on 6LoWPAN. In X. Sun, Z. Pan, & E. Bertino (Eds.), Cloud computing and security. ICCCS 2018 (Lecture notes in computer science) (Vol. 11067). Cham: Springer.
Raut, R., Varma, H., Mulla, C., & Pawar, V. R. (2018). Soil monitoring, fertigation, and irrigation system using IoT for agricultural application. In Y. C. Hu, S. Tiwari, K. Mishra, & M. Trivedi (Eds.), Intelligent communication and computational technologies (Lecture notes in networks and systems) (Vol. 19). Singapore: Springer.
Guchhait, P., Sehgal, P., & Aski, V. J. (2020). Sensoponics: IoT-enabled automated smart irrigation and soil composition monitoring system. In M. Tuba, S. Akashe, & A. Joshi (Eds.), Information and communication technology for sustainable development (Advances in intelligent systems and computing) (Vol. 933). Singapore: Springer.
Das, R. K., Panda, M., & Dash, S. S. (2019). Smart agriculture system in India using internet of things. In J. Nayak, A. Abraham, B. Krishna, G. Chandra Sekhar, & A. Das (Eds.), Soft computing in data analytics (Advances in intelligent systems and computing) (Vol. 758). Singapore: Springer.
Goap, A., Sharma, D., Shukla, A. K., & Rama, K. C. (2018, December). An IoT based smart irrigation management system using machine learning and open source technologies. In Computers and electronics in agriculture (Vol. 155, pp. 41–49). Elsevier: ScienceDirect.
Bajrami, X., & Murturi, I. (2018). An efficient approach to monitoring environmental conditions using a wireless sensor network and NodeMCU. Elektrotechnik und Informationstechnik, 135, 294. https://doi.org/10.1007/s00502-018-0612-9.
Official NodeMCU Datasheet. http://espressif.com/sites/default/files/documentation/0a-esp8266ex_datasheet_en.pdf
Qi, S., & Li, Y. (2012). The design of grain temperature-moisture monitoring system based on wireless sensor network. In M. Zhao & J. Sha (Eds.), Communications and information processing (Communications in computer and information science) (Vol. 289). Berlin, Heidelberg: Springer.
McRoberts, M. (2010). Reading and writing to an SD card. In Beginning Arduino. Berkeley, CA: Apress.
Official Eagle CAD information. https://www.autodesk.com/products/eagle/overview
Samykano, M., Selvamani, S. K., Kadirgama, K., et al. (2019). Mechanical property of FDM printed ABS: Influence of printing parameters. International Journal of Advanced Manufacturing Technology, 102, 2779. https://doi.org/10.1007/s00170-019-03313-0.
SMARTDRIP Automatic WiFi drip irrigation water timer-works with SmartPhone, Google Home and Alexa. https://www.amazon.in/SMARTDRIP-Automatic-Irrigation-Timer-Works-Smartphone/dp/B07D68NMNG?tag=googinhydr18418-21. Information of product obtained from the given link on 25th July, 2019 at 10.00 A.M.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Singh, K., Kumar, R. (2021). Design of a Low-Cost Sensor-Based IOT System for Smart Irrigation. In: Kumar, R., Paiva, S. (eds) Applications in Ubiquitous Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-35280-6_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-35280-6_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-35279-0
Online ISBN: 978-3-030-35280-6
eBook Packages: EngineeringEngineering (R0)