Review of Innovation and Efficiency of Modern Technology-Based Irrigation Systems in the Manufacturing Process

Yusuf Hariandi, Hadi Pranoto

DOI: https://doi.org/10.37869/ijatec.v6i2.134

Article Viewers

Abstract viewed: 196 times
PDF viewed: 62 times

Abstract


Efficient and smart irrigation systems are urgently needed amid global water scarcity and pressure to increase agricultural yields. This study aims to systematically review 30 scientific journals published in the last five years that discuss modern technology-based automated irrigation systems. The study is divided into two main aspects, namely innovative aspects and efficiency aspects. The creative element covers the use of the Internet of Things (IoT), machine learning (ML), and renewable energy. Meanwhile, the efficiency aspect focuses on water conservation, energy efficiency, and increased crop yields. This research uses a systematic literature study approach by analyzing the working system, advantages, disadvantages, benefits, manufacturing processes, and equipment used. The findings show that IoT and ML-based systems excel in terms of automation and real-time adaptation, while the application of solar-based systems contributes significantly to energy sustainability. Water use efficiency reaches up to 86.6%, accompanied by a significant increase in fruit and vegetable yields. This article makes an important contribution to supporting the development of innovative and sustainability-oriented smart irrigation systems, in line with the concept of precision agriculture.

Keywords


smart irrigation; internet of things; machine learning; efficiency; innovation; solar power

Full Text:

PDF

References

El Mezouari, A. El Fazziki, and M. Sadgal, “Smart Irrigation System,” IFAC-PapersOnLine, vol. 55, no. 10, pp. 3298–3303, Jan. 2022, doi: 10.1016/J.IFACOL.2022.10.125.

J. Patel, A. Dubey, A. Singh, and B. Mathew, “Automatic Drip Irrigation using IoT and Machine Learning,” International Journal for Research in Engineering Application & Management (IJREAM), vol. 07, p. 2, 2021, doi: 10.35291/2454-9150.2021.0222.

P. Kalpana, L. Smitha, D. Madhavi, S. A. Nabi, G. Kalpana, and S. Kodati, “A Smart Irrigation System Using the IoT and Advanced Machine Learning Model-A Systematic Literature Review,” Oct. 02, 2024, Prof.Dr. İskender AKKURT. doi: 10.22399/ijcesen.526.

N. Cui et al., “Water deficit drip irrigation promotes citrus sugar accumulation during the late growth stages,” Agric Water Manag, vol. 296, May 2024, doi: 10.1016/j.agwat.2024.108782.

S. Sumathi, P. Parathraju, G. Dinesh, and N. Anandhakumar, “Automated Solar Powered Irrigation System,” International Journal of Electrical Engineering & Technology (IJEET, vol. 9, no. 5, pp. 213–223, doi: 10.17605/OSF.IO/QK9P4.

J. L. Preciado, A. G. Fernald, R. Heerema, and C. Pierce, “Enhancing crop water productivity and aquifer recharge in arid regions: Water balance insights for optimized hybrid irrigation in pecan orchards,” Agric Water Manag, vol. 315, Jun. 2025, doi: 10.1016/j.agwat.2025.109564.

M. Morcillo, M. Á. Moreno, R. Ballesteros, R. Arias, and J. F. Ortega, “Validation of the FERTI-drip model for the evaluation and simulation of fertigation events in drip irrigation,” Smart Agricultural Technology, vol. 10, Mar. 2025, doi: 10.1016/j.atech.2025.100803.

S. Xing et al., “Effect of dynamic pressure and emitter type on irrigation and fertigation uniformity of drip irrigation systems,” Agric Water Manag, vol. 312, p. 109418, May 2025, doi: 10.1016/J.AGWAT.2025.109418.

L. Daniyan, E. Nwachukwu, I. Daniyan, and O. Bonaventure, “Development and optimization of an automated irrigation system,” Journal of Automation, Mobile Robotics and Intelligent Systems, vol. 13, no. 1, pp. 37–45, 2019, doi: 10.14313/JAMRIS_1-2019/5.

M. Pramanik et al., “Automation of soil moisture sensor-based basin irrigation system,” Smart Agricultural Technology, vol. 2, Dec. 2022, doi: 10.1016/j.atech.2021.100032.

R. Ali and M. A. Shah, “Solar Powered Irrigation System for Agriculture based on Moisture Content in the Field and Saving Energy and Water with Optimum Designing”, doi: 10.13140/RG.2.2.32397.90085.

S. Pool et al., “Impact of a transformation from flood to drip irrigation on groundwater recharge and nitrogen leaching under variable climatic conditions,” Science of the Total Environment, vol. 825, Jun. 2022, doi: 10.1016/j.scitotenv.2022.153805.

F. Chen et al., “Effects of deficit drip irrigation at different growth stages on citrus leaf physiology, fruit growth, yield, and water productivity in South China,” Agric Water Manag, vol. 307, Feb. 2025, doi: 10.1016/j.agwat.2024.109206.

A. Cerdà, A. Novara, and E. Moradi, “Long-term non-sustainable soil erosion rates and soil compaction in drip-irrigated citrus plantation in Eastern Iberian Peninsula,” Science of the Total Environment, vol. 787, Sep. 2021, doi: 10.1016/j.scitotenv.2021.147549.

D. Bhavsar, B. Limbasia, Y. Mori, M. Imtiyazali Aglodiya, and M. Shah, “A comprehensive and systematic study in smart drip and sprinkler irrigation systems,” Smart Agricultural Technology, vol. 5, Oct. 2023, doi: 10.1016/j.atech.2023.100303.

B. Nsoh et al., “Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review,” Sensors, vol. 24, no. 23, p. 7480, Nov. 2024, doi: 10.3390/s24237480.

L. Owino and D. Söffker, “How much is enough in watering plants? State-of-the-art in irrigation control: Advances, challenges, and opportunities with respect to precision irrigation,” Frontiers in Control Engineering, vol. 3, Sep. 2022, doi: 10.3389/fcteg.2022.982463.

G. Penzotti, D. Lodi Rizzini, and S. Caselli, “A planning strategy for sprinkler-based variable rate irrigation,” Comput Electron Agric, vol. 212, Sep. 2023, doi: 10.1016/j.compag.2023.108126.

Y. Xu et al., “Impact of irrigation water volume and deep vertical rotating tillage depth on the development and feeding quality of Suaeda salsa under drip irrigation,” Ind Crops Prod, vol. 229, Jul. 2025, doi: 10.1016/j.indcrop.2025.120993.

K. Obaideen et al., “An overview of smart irrigation systems using IoT,” Energy Nexus, vol. 7, Sep. 2022, doi: 10.1016/j.nexus.2022.100124.

F. Puig, M. Garcia-Vila, M. A. Soriano, and J. A. Rodríguez-Díaz, “AquaCrop-IoT: A smart irrigation platform integrating real-time images and weather forecasting,” Comput Electron Agric, vol. 235, p. 110372, Aug. 2025, doi: 10.1016/J.COMPAG.2025.110372.

M. van de Loo, E. C. Poyato, and J. A. R. Díaz, “Using solar energy for irrigation in large water distribution networks: A benchmark study about six irrigation systems in the south of Spain,” Energy Nexus, vol. 17, p. 100386, Mar. 2025, doi: 10.1016/J.NEXUS.2025.100386.

A. Morchid, Z. Said, A. Y. Abdelaziz, P. Siano, and H. Qjidaa, “Fuzzy logic-based IoT system for optimizing irrigation with cloud computing: Enhancing water sustainability in smart agriculture,” Smart Agricultural Technology, vol. 11, p. 100979, Aug. 2025, doi: 10.1016/J.ATECH.2025.100979.

A. Morchid et al., “IoT-enabled smart agriculture for improving water management: A smart irrigation control using embedded systems and Server-Sent Events,” Sci Afr, vol. 27, p. e02527, Mar. 2025, doi: 10.1016/J.SCIAF.2024.E02527.

V. Kumar S et al., “Evaluation of IoT based smart drip irrigation and ETc based system for sweet corn,” Smart Agricultural Technology, vol. 5, p. 100248, Oct. 2023, doi: 10.1016/J.ATECH.2023.100248.

R. K. Jain, “Experimental performance of smart IoT-enabled drip irrigation system using and controlled through web-based applications,” Smart Agricultural Technology, vol. 4, p. 100215, Aug. 2023, doi: 10.1016/J.ATECH.2023.100215.

L. Zaiyu et al., “The hydraulic performance and clogging characteristics of a subsurface drip irrigation system operating for five years in the North China plain,” Agric Water Manag, vol. 307, p. 109217, Feb. 2025, doi: 10.1016/J.AGWAT.2024.109217.

H. Yuan et al., “Increasing iron use efficiency by controlling emitter clogging in drip irrigation systems,” Agric Water Manag, vol. 290, p. 108601, Dec. 2023, doi: 10.1016/J.AGWAT.2023.108601.

L. Lyu, S. Matheson, R. Fleck, F. R. Torpy, and P. J. Irga, “Modulating phytoremediation: How drip irrigation system affect performance of active green wall and microbial community changes,” J Environ Manage, vol. 370, p. 122646, Nov. 2024, doi: 10.1016/J.JENVMAN.2024.122646.

B. Xue et al., “Quantification of the water exchange in an agroforestry system under the background of film-mulching drip irrigation of farmland,” Agric Water Manag, vol. 290, p. 108597, Dec. 2023, doi: 10.1016/J.AGWAT.2023.108597.


Refbacks

  • There are currently no refbacks.

Share This Article



Copyright (c) 2025 Yusuf Hariandi Hariandi

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

IJATEC is indexed by the following abstracting and indexing services:

The International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC)
Institute for Research on Innovation and Industrial System (IRIS)
Jl.Raya Mustika Jaya No 88, Mustika Jaya, Bekasi Kota - 17158
Telp./Fax: +62 815-7499-5509
p-ISSN: 2720-8990
e-ISSN: 2720-9008
www.ijatec.com/index.php/ijatmmm

Creative Commons Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.