Abstract
Soil temperature and moisture are the two most essential indicators of soil health, since they influence numerous critical agricultural, environmental, and morphological activities inside the soil. The temperature and moisture content of the soil are essential determinants in agricultural, engineering, geological, biological, and hydrological research. Soil moisture, a critical component of hydro-meteorological systems, is characterized by the existence of a limited number of molecules of water within the pore spaces. Surface and subsurface soil temperatures and moisture should be regularly monitored and measured using high-resolution data. The Graphical User Interface (GUI) displays the soil's temperature and moisture trends. The most crucial aspect of this system is its data output, that can be viewed and handled remotely using Wi-Fi and an online web application called LabVIEW. The wireless soil temperature and moisture monitoring sensors aid in data collection, analyzing, presentation, and storage via an easy-to-use interface for irrigation water scheduling over the web. The predominant goal of this chapter is to offer a sophisticated wireless network of sensors for a farming scenario. This report provides farmers with a more efficient and cost-effective technique of measuring many environmental factors important for crop growth, such as temperature, moisture, and relative humidity. These insights might help with irrigation scheduling, soil management, fertilization, and drought monitoring, along with depth analysis of soil moisture and temperature.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adeyemi O, Norton T, Grove I, Peets S (2016) Performance evaluation of three newly developed soil moisture sensors. In: Proceedings of the CIGR-AgEng conference, Aarhus, Denmark, pp 26–29
Ayday C, Safak S (2009) Application of wireless sensor networks with GIS on the soil moisture distribution map**. In: Symposium GIS Ostrava, pp 1–6
Bachuwar VD, Shligram AD, Prabhakar P, Deshmukh LP (2017) Lab view based wireless soil moisture and temperature monitoring system for water irrigation management. Indian J Sci Res 15(2):186–190
Chakraborty M, Kalita A, Biswas K (2018) PMMA-coated capacitive type soil moisture sensor: design, fabrication, and testing. IEEE Trans Instrum Meas 68(1):189–196. https://doi.org/10.1109/TIM.2018.2838758
Chavan CH, Karande PV (2014) Wireless monitoring of soil moisture, temperature & humidity using zigbee in agriculture. Int J Eng Trends Technol (IJETT) 11(10):493–497. https://doi.org/10.14445/22315381%2FIJETT-V11P296
Cheng W, Qiao X, Liu Y, Yu C (2010) Low power research and design in plant eco-physiological monitoring system based on ZigBee. In: 2010 world automation congress. IEEE, pp 67–71
Cho H, Park D, Park CY, Kim HG, Shin CS, Cho YY, Park JW (2011) A study on localization based Zigbee and Monitoring system in greenhouse environment. In: The 3rd international conference on data mining and intelligent information technology applications. IEEE, pp 190–195
Datta S, Taghvaeian S, Ochsner TE, Moriasi D, Gowda P, Steiner JL (2018) Performance assessment of five different soil moisture sensors under irrigated field conditions in Oklahoma. Sensors 18(11):3786. https://doi.org/10.3390/s18113786
Dias PC, Cadavid D, Ortega S, Ruiz A, França MBM, Morais FJ, Ferreira EC, Cabot A (2016) Autonomous soil moisture sensor based on nanostructured thermosensitive resistors powered by an integrated thermoelectric generator. Sens Actuators A Phys 239:1–7. https://doi.org/10.1016/j.sna.2016.01.022
Gao Z, Zhu Y, Liu C, Qian H, Cao W, Ni J (2018) Design and test of a soil profile moisture sensor based on sensitive soil layers. Sensors 18(5):1648. https://doi.org/10.3390/s18051648
Goswami MP, Montazer B, Sarma U (2018) Design and characterization of a fringing field capacitive soil moisture sensor. IEEE Trans Instrum Meas 68(3):913–922. https://doi.org/10.1109/TIM.2018.2855538
Haefke M, Mukhopadhyay SC, Ewald H (2011) A Zigbee based smart sensing platform for monitoring environmental parameters. In: 2011 IEEE international instrumentation and measurement technology conference. IEEE, pp 1–8. https://doi.org/10.1109/IMTC.2011.5944154
Hwang JH, Yoe H (2010) Paprika greenhouse management system for ubiquitous agriculture. In: 2010 international conference on information and communication technology convergence (ICTC). IEEE, pp 555–556. https://doi.org/10.1109/ICTC.2010.5674751
Iwata Y, Miyamoto T, Kameyama K, Nishiya M (2017) Effect of sensor installation on the accurate measurement of soil water content. Eur J Soil Sci 68(6):817–828. https://doi.org/10.1111/ejss.12493
John J, Palaparthy VS, Sarik S, Baghini MS, Kasbekar GS (2015) Design and implementation of a soil moisture wireless sensor network. In: 2015 twenty first national conference on communications (NCC). IEEE, pp 1–6. https://doi.org/10.1109/NCC.2015.7084901
Kalita H, Palaparthy VS, Baghini MS, Aslam M (2016) Graphene quantum dot soil moisture sensor. Sens Actuators B Chem 233:582–590. https://doi.org/10.1016/j.snb.2016.04.131
Kapilaratne RJ, Lu M (2017) Automated general temperature correction method for dielectric soil moisture sensors. J Hydrol 551:203–216. https://doi.org/10.1016/j.jhydrol.2017.05.050
Kaur K, Mahajan R, Bagai D (2016) Zigbee based soil moisture monitoring system. Int J Innov Res Comput Commun Eng 4(6)
Kojima Y, Shigeta R, Miyamoto N, Shirahama Y, Nishioka K, Mizoguchi M, Kawahara Y (2016) Low-cost soil moisture profile probe using thin-film capacitors and a capacitive touch sensor. Sensors 16(8):1292. https://doi.org/10.3390/s16081292
Kumar MS, Chandra TR, Kumar DP, Manikandan MS (2016) Monitoring moisture of soil using low cost homemade soil moisture sensor and Arduino UNO. In: 2016 3rd international conference on advanced computing and communication systems (ICACCS), vol 1. IEEE, pp 1–4. https://doi.org/10.1109/ICACCS.2016.7586312
Mujumdar M, Goswami MM, Morrison R, Evans JG, Ganeshi N, Sabade SS, Krishnan R, Patil SN (2021) A study of field-scale soil moisture variability using the cosmic-ray soil moisture observing system (COSMOS) at IITM Pune site. J Hydrol 597:126102. https://doi.org/10.1016/j.jhydrol.2021.126102
Nagahage EAAD, Nagahage ISP, Fu**o T (2019) Calibration and validation of a low-cost capacitive moisture sensor to integrate the automated soil moisture monitoring system. Agriculture 9(7):141. https://doi.org/10.3390/agriculture9070141
Nath S, Kumar Nath J, Sarma KC (2018) IoT based system for continuous measurement and monitoring of temperature, soil moisture and relative humidity. Technology 9(3):106–113
Palaparthy VS, Singh DN, Baghini MS (2017) Compensation of temperature effects for in-situ soil moisture measurement by DPHP sensors. Comput Electron Agric 141:73–80. https://doi.org/10.1016/j.compag.2017.07.010
Pang N (2011) ZigBee mesh network for greenhouse monitoring. In: 2011 international conference on mechatronic science, electric engineering and computer (MEC). IEEE, pp 266–269. https://doi.org/10.1109/MEC.2011.6025452
Placidi P, Gasperini L, Grassi A, Cecconi M, Scorzoni A (2020) Characterization of low-cost capacitive soil moisture sensors for IoT networks. Sensors 20(12):3585. https://doi.org/10.3390/s20123585
Prasad RK, Madkar SR (2013) Design & implementation of wireless transceiver for data acquisition in wireless sensor network. Int J Adv Res Comput Sci Softw Eng 3(7):521–526
Raduła MW, Szymura TH, Szymura M (2018) Topographic wetness index explains soil moisture better than bioindication with Ellenberg’s indicator values. Ecol Ind 85:172–179. https://doi.org/10.1016/j.ecolind.2017.10.011
Saeed IA, Wang M, Ren Y, Shi Q, Malik MH, Tao S, Cai Q, Gao W (2019) Performance analysis of dielectric soil moisture sensor. Soil Water Res 14(4):195–199. https://doi.org/10.17221/74/2018-SWR
Salunke SA, Chincholikar SY, Kharde SP (2015) An overview on wireless sensor technologies for the development of agriculture. Int J Comput Sci Mob Comput 4(6):416–418
Shamshiri RR, Weltzien C (2021) Development and field evaluation of a multichannel LoRa sensor for IoT monitoring in berry orchards. 41. GIL-Jahrestagung, Informations-und Kommunikationstechnologie in kritischen Zeiten
Singh P, Saikia S (2016) Arduino-based smart irrigation using water flow sensor, soil moisture sensor, temperature sensor and ESP8266 WiFi module. In: 2016 IEEE region 10 humanitarian technology conference (R10-HTC). IEEE, pp 1–4. https://doi.org/10.1109/R10-HTC.2016.7906792
Songhua Y, Jianya G, Hanwu L (2010) Research on soil moisture sensor nodes and their placement in distributed sensor networks. In: 2010 ninth international symposium on distributed computing and applications to business, engineering and science. IEEE, pp 165–168. https://doi.org/10.1109/DCABES.2010.38
Then YL, You KY, Dimon MN, Lee CY (2016) A modified microstrip ring resonator sensor with lumped element modeling for soil moisture and dielectric predictions measurement. Measurement 94:119–125. https://doi.org/10.1016/j.measurement.2016.07.046
Wang Z, Zhao C, Zhang H, Fan H (2011) Real-time remote monitoring and warning system in general agriculture environment. In: 2011 international conference of information technology, computer engineering and management sciences, vol 3. IEEE, pp 160–163. https://doi.org/10.1109/ICM.2011.228
Xu Z, Zhou W, Zhang H, Shen M, Liu Y, Cai D, Li Y, Lei Y, Wang G, Bagtzoglou AC, Li B (2018) Flat thin mm-sized soil moisture sensor (MSMS) fabricated by gold compact discs etching for real-time in situ profiling. Sens Actuators B Chem 255:1166–1172. https://doi.org/10.1016/j.snb.2017.05.154
Zhang X, Zuo W, Zhao S, Jiang L, Chen L, Zhu Y (2018) Uncertainty in upscaling in situ soil moisture observations to multiscale pixel estimations with kriging at the field level. ISPRS Int J Geo Inf 7(1):33. https://doi.org/10.3390/ijgi7010033
Zhou W, Xu Z, Ross D, Dignan J, Fan Y, Huang Y, Wang G, Bagtzoglou AC, Lei Y, Li B (2019) Towards water-saving irrigation methodology: field test of soil moisture profiling using flat thin mm-sized soil moisture sensors (MSMSs). Sens Actuators B Chem 298:126857. https://doi.org/10.1016/j.snb.2019.126857
Acknowledgements
The authors acknowledge the ICAR-NAHEP-IDP for funding to visit University of Western Sydney for doing part of literature survey in digital library at School of Science.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Kannan, P., Mohamed Roshan Abu Firnass, M., Bose, J., Ponmani, S., Swaminathan, C. (2024). Soil Moisture and Temperature Management Using IoT for Sustainable Farming. In: Pandey, K., Kushwaha, N.L., Pande, C.B., Singh, K.G. (eds) Artificial Intelligence and Smart Agriculture. Advances in Geographical and Environmental Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-97-0341-8_11
Download citation
DOI: https://doi.org/10.1007/978-981-97-0341-8_11
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-97-0340-1
Online ISBN: 978-981-97-0341-8
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)