A review of implementation processes for automated irrigation systems
DOI:
https://doi.org/10.32870/recibe.v11i1.216Keywords:
Sistemas de Riego Automatizado, análisis cuantitativo, análisis cualitativo, tecnologias y técnicas, Salsa, factoresAbstract
Agriculture is a fundamental pillar in the economy of many countries. To achieve this, investment in technology and the factors that make its development possible must be taken into account. Automated irrigation systems facilitate the work of farmers, improving the economy and lifestyle of people. The objective of this work is to determine the most important technologies and techniques to be used for the construction of automated irrigation systems, for this a systematic literature review is carried out using the SALSA method that describes the process in five steps, the bases were used of IEEE Xplore and Science Direct data, a quantitative analysis of the selected sample was made, identifying the techniques and technologies most used in these processes, in addition, the existing problems were determined from a qualitative analysis, identifying factors that should be taken into account in these implementations.References
Abioye, E. A., Abidin, M. S. Z., Mahmud, M. S. A., Buyamin, S., AbdRahman, M. K. I., Otuoze, A. O., Ramli, M. S. A., & Ijike, O. D. (2020). IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment. Information Processing in Agriculture, xxxx. https://doi.org/10.1016/j.inpa.2020.05.004
Al-Ali, A. R., Nabulsi, A. Al, Mukhopadhyay, S., Awal, M. S., Fernandes, S., & Ailabouni, K. (2020). IoT-solar energy powered smart farm irrigation system. Journal of Electronic Science and Technology, 30(40), 1–14. https://doi.org/10.1016/J.JNLEST.2020.100017
Al-Naji, A., Fakhri, A. B., Gharghan, S. K., & Chahl, J. (2021). Soil color analysis based on a RGB camera and an artificial neural network towards smart irrigation: A pilot study. Heliyon, 7(1), e06078. https://doi.org/10.1016/j.heliyon.2021.e06078
Alomar, B., & Alazzam, A. (2019). A Smart Irrigation System Using IoT and Fuzzy Logic Controller. ITT 2018 - Information Technology Trends: Emerging Technologies for Artificial Intelligence, 175–179. https://doi.org/10.1109/CTIT.2018.8649531
Bhattacharya, M., Roy, A., & Pal, J. (2021). Smart irrigation system using internet of things. Lecture Notes in Networks and Systems, 137, 119–129. https://doi.org/10.1007/978-981-15-6198-6_11
Cabarcas, A., Arrieta, C., Cermeno, D., Leal, H., Mendoza, R., & Rosales, C. (2019). Irrigation system for precision agriculture supported in the measurement of environmental variables. Proceedings - 2019 7th International Engineering, Sciences and Technology Conference, IESTEC 2019, 671–676. https://doi.org/10.1109/IESTEC46403.2019.00125
Caya, M. V., Ballado, A., Rabino, E. M. C., & Anthony Delim, C. (2019). ET-Based Smart Irrigation System with irrigation postponement Algorithm for Lycopersicon Esculentum or Tomato plant. 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management, HNICEM 2019. https://doi.org/10.1109/HNICEM48295.2019.9073417
Chavda, R., Kadam, T., Hattangadi, K., & Vora, D. (2018). Smart Drip Irrigation System using Moisture Sensors. 2018 International Conference on Smart City and Emerging Technology, ICSCET 2018, 1–4. https://doi.org/10.1109/ICSCET.2018.8537377
De Pace, F., Manuri, F., Sanna, A., & Fornaro, C. (2020). A systematic review of Augmented Reality interfaces for collaborative industrial robots. Computers and Industrial Engineering, 149(September), 106806. https://doi.org/10.1016/j.cie.2020.106806
DÍaz De León Guillén, M. Á., Morales-Rocha, V., & Fernández Martínez, L. F. (2020). A systematic review of security threats and countermeasures in SaaS. Journal of Computer Security, 28(6), 635–653. https://doi.org/10.3233/JCS-200002
Divya Dhatri, P. V. S., Pachiyannan, M., Jyothi Swaroopa Rani, K., & Pravallika, G. (2019). A Low-Cost Arduino based Automatic Irrigation System using Soil Moisture Sensor: Design and Analysis. 2nd International Conference on Signal Processing and Communication, ICSPC 2019 - Proceedings, 104–108. https://doi.org/10.1109/ICSPC46172.2019.8976483
Domínguez-Niño, J. M., Oliver-Manera, J., Girona, J., & Casadesús, J. (2020). Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors. Agricultural Water Management, 228(October 2019), 105880. https://doi.org/10.1016/j.agwat.2019.105880
Fernández del Amo, I., Erkoyuncu, J. A., Roy, R., Palmarini, R., & Onoufriou, D. (2018). A systematic review of Augmented Reality content-related techniques for knowledge transfer in maintenance applications. Computers in Industry, 103, 47–71. https://doi.org/10.1016/j.compind.2018.08.007
Giri, M. B., & Pippal, R. S. (2018). Use of linear interpolation for automated drip irrigation system in agriculture using wireless sensor network. 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing, ICECDS 2017, D, 1599–1603. https://doi.org/10.1109/ICECDS.2017.8389716
Grant, M. J., & Booth, A. (2009). A typology of reviews: An analysis of 14 review types and associated methodologies. Health Information and Libraries Journal, 26(2), 91–108. https://doi.org/10.1111/j.1471-1842.2009.00848.x
Karpagam, J., Merlin, I. I., Bavithra, P., & Kousalya, J. (2020). Smart Irrigation System Using IoT. 2020 6th International Conference on Advanced Computing and Communication Systems, ICACCS 2020, 1292–1295. https://doi.org/10.1109/ICACCS48705.2020.9074201
Kodali, R. K., & Sarjerao, B. S. (2017). A low cost smart irrigation system using MQTT protocol. TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities. https://doi.org/10.1109/TENCONSpring.2017.8070095
Komal Kumar, N., Vigneswari, D., & Rogith, C. (2019). An Effective Moisture Control based Modern Irrigation System (MIS) with Arduino Nano. 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, 70–72. https://doi.org/10.1109/ICACCS.2019.8728446
Masseroni, D., Moller, P., Tyrell, R., Romani, M., Lasagna, A., Sali, G., Facchi, A., & Gandolfi, C. (2018). Evaluating performances of the first automatic system for paddy irrigation in Europe. Agricultural Water Management, 201, 58–69. https://doi.org/10.1016/j.agwat.2017.12.019
Math, A., Ali, L., & Pruthviraj, U. (2019). Development of Smart Drip Irrigation System Using IoT. 2018 IEEE Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2018 - Proceedings, 126–130. https://doi.org/10.1109/DISCOVER.2018.8674080
Meher, C. P., Sahoo, A., & Sharma, S. (2019). IoT based Irrigation and Water Logging monitoring system using Arduino and Cloud Computing. Proceedings - International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019, 1–5. https://doi.org/10.1109/ViTECoN.2019.8899396
Mekonnen, Y., Burton, L., Sarwat, A., & Bhansali, S. (2019). IoT Sensor Network Approach for Smart Farming: An Application in Food, Energy and Water System. GHTC 2018 - IEEE Global Humanitarian Technology Conference, Proceedings, 1–5. https://doi.org/10.1109/GHTC.2018.8601701
Mendes, W. R., Araújo, F. M. U., Dutta, R., & Heeren, D. M. (2019). Fuzzy control system for variable rate irrigation using remote sensing. Expert Systems with Applications, 124, 13–24. https://doi.org/10.1016/j.eswa.2019.01.043
Mengist, W., Soromessa, T., & Legese, G. (2020). Method for conducting systematic literature review and meta-analysis for environmental science research. MethodsX, 7, 100777. https://doi.org/10.1016/j.mex.2019.100777
Mishra, D., Khan, A., Tiwari, R., & Upadhay, S. (2018). Automated Irrigation System-IoT Based Approach. Proceedings - 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages, IoT-SIU 2018, 2018–2021. https://doi.org/10.1109/IoT-SIU.2018.8519886
Mohamad Jaafar, M. F., Hussin, H., Rosman, R., Kheng, T. Y., & Ja’Afar Hussin, M. (2019). Smart cocoa nursery monitoring system using irt for automatic drip irrigation. TSSA 2019 - 13th International Conference on Telecommunication Systems, Services, and Applications, Proceedings, 108–113. https://doi.org/10.1109/TSSA48701.2019.8985463
Mohammed, T. S., Khan, O. F., & Al-Bazi, A. (2019). A Novel Algorithm Based on LoRa Technology for Open-Field and Protected Agriculture Smart Irrigation System. 2019 2nd IEEE Middle East and North Africa COMMunications Conference, MENACOMM 2019, 0–5. https://doi.org/10.1109/MENACOMM46666.2019.8988583
Mohanraj, I., Gokul, V., Ezhilarasie, R., & Umamakeswari, A. (2018). Intelligent drip irrigation and fertigation using wireless sensor networks. Proceedings - 2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development, TIAR 2017, 2018-Janua, 36–41. https://doi.org/10.1109/TIAR.2017.8273682
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., Altman, D., Antes, G., Atkins, D., Barbour, V., Barrowman, N., Berlin, J. A., Clark, J., Clarke, M., Cook, D., D’Amico, R., Deeks, J. J., Devereaux, P. J., Dickersin, K., Egger, M., Ernst, E., … Tugwell, P. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7). https://doi.org/10.1371/journal.pmed.1000097
Mulenga, R., Kalezhi, J., Musonda, S. K., & Silavwe, S. (2018). Applying Internet of Things in Monitoring and Control of an Irrigation System for Sustainable Agriculture for Small-Scale Farmers in Rural Communities. 2018 IEEE PES/IAS PowerAfrica, PowerAfrica 2018, 841–845. https://doi.org/10.1109/PowerAfrica.2018.8521025
Nageswara Rao, R., & Sridhar, B. (2018). IoT based smart crop-field monitoring and automation irrigation system. Proceedings of the 2nd International Conference on Inventive Systems and Control, ICISC 2018, Icisc, 478–483. https://doi.org/10.1109/ICISC.2018.8399118
Nandanwar, H., Chauhan, A., Pahl, D., & Meena, H. (2020). A Survey of Application of ML and Data Mining Techniques for Smart Irrigation System. Proceedings of the 2nd International Conference on Inventive Research in Computing Applications, ICIRCA 2020, 205–212. https://doi.org/10.1109/ICIRCA48905.2020.9183088
Ocampo, A. L. P. De, & Dadios, E. P. (2017). 2017 IEEE National Aerospace and Electronics Conference (NAECON) : 27-30 June 2017.
Padalalu, P., Mahajan, S., Dabir, K., Mitkar, S., & Javale, D. (2017). Smart water dripping system for agriculture/farming. 2017 2nd International Conference for Convergence in Technology, I2CT 2017, 2017-Janua, 659–662. https://doi.org/10.1109/I2CT.2017.8226212
Patil, B., Gabhane, S. K., & Repal, S. S. (2019). Efficient automated irrigation system. Proceedings of the International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2018, 682–687. https://doi.org/10.1109/I-SMAC.2018.8653697
Premkumar, A., Thenmozhi, K., Praveenkumar, P., Monishaa, P., & Amirtharajan, R. (2018). IoT Assisted Automatic Irrigation System using Wireless Sensor Nodes. 2018 International Conference on Computer Communication and Informatics, ICCCI 2018, 1–4. https://doi.org/10.1109/ICCCI.2018.8441209
Priandana, K., & Wahyu, R. A. F. (2020). Development of Automatic Plant Irrigation System using Soil Moisture Sensors for Precision Agriculture of Chili. Proceeding - ICoSTA 2020: 2020 International Conference on Smart Technology and Applications: Empowering Industrial IoT by Implementing Green Technology for Sustainable Development. https://doi.org/10.1109/ICoSTA48221.2020.1570615896
Rajendrakumar, S., Parvati, V. K., & Rajashekarappa, R. (2019). An efficient irrigation system for agriculture. Proceedings of the 2018 International Conference On Communication, Computing and Internet of Things, IC3IoT 2018, 132–136. https://doi.org/10.1109/IC3IoT.2018.8668206
Ramachandran, V., Ramalakshmi, R., & Srinivasan, S. (2018). An Automated Irrigation System for Smart Agriculture Using the Internet of Things. 2018 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, 210–215. https://doi.org/10.1109/ICARCV.2018.8581221
Rani, D., Kumar, N., & Bhushan, B. (2019). Implementation of an Automated Irrigation System for Agriculture Monitoring using IoT Communication. Proceedings of IEEE International Conference on Signal Processing,Computing and Control, 2019-Octob, 138–143. https://doi.org/10.1109/ISPCC48220.2019.8988390
Ranjith, Anas, S., Badhusha, I., Ot, Z., Faseela, K., & Shelly, M. (2017). Cloud based automated irrigation and plant leaf disease detection system using an android application. Proceedings of the International Conference on Electronics, Communication and Aerospace Technology, ICECA 2017, 2017-Janua, 211–214. https://doi.org/10.1109/ICECA.2017.8212798
Rau, A. J., Sankar, J., Mohan, A. R., Das Krishna, D., & Mathew, J. (2017). IoT based smart irrigation system and nutrient detection with disease analysis. TENSYMP 2017 - IEEE International Symposium on Technologies for Smart Cities, 3–6. https://doi.org/10.1109/TENCONSpring.2017.8070100
Reghukumar, A., & Vijayakumar, V. (2019). Smart Plant Watering System with Cloud Analysis and Plant Health Prediction. Procedia Computer Science, 165(2019), 126–135. https://doi.org/10.1016/j.procs.2020.01.088
Rehman, A. U., Asif, R. M., Tariq, R., & Javed, A. (2017). Gsm based solar automatic irrigation system using moisture, temperature and humidity sensors. 2017 International Conference on Engineering Technology and Technopreneurship, ICE2T 2017, 2017-Janua, 1–4. https://doi.org/10.1109/ICE2T.2017.8215945
Rudy Hendrawan, I. N., Putu Yulyantari, L., Pradiptha, G. A., & Bayu Starriawan, P. (2019). Fuzzy Based Internet of Things Irrigation System. 2019 1st International Conference on Cybernetics and Intelligent System, ICORIS 2019, 1(August), 146–150. https://doi.org/10.1109/ICORIS.2019.8874900
Sagar, S. V., Kumar, G. R., Xavier, L. X. T., Sivakumar, S., & Durai, R. B. (2017). SISFAT: Smart irrigation system with flood avoidance technique. ICONSTEM 2017 - Proceedings: 3rd IEEE International Conference on Science Technology, Engineering and Management, 2018-Janua, 28–33. https://doi.org/10.1109/ICONSTEM.2017.8261252
Savić, T., & Radonjic, M. (2018). WSN architecture for smart irrigation system. 2018 23rd International Scientific-Professional Conference on Information Technology, IT 2018, 2018-Janua, 1–4. https://doi.org/10.1109/SPIT.2018.8350859
Shilpa, A., Muneeswaran, V., & Devi Kala Rathinam, D. (2019). A Precise and Autonomous Irrigation System for Agriculture: IoT Based Self Propelled Center Pivot Irrigation System. 2019 5th International Conference on Advanced Computing and Communication Systems, ICACCS 2019, 533–538. https://doi.org/10.1109/ICACCS.2019.8728550
Shrivastava, A., & Rajesh, M. (2018). Automatic Irrigation System with Data Log Creation. Proceedings of the International Conference on Inventive Communication and Computational Technologies, ICICCT 2018, Icicct, 632–635. https://doi.org/10.1109/ICICCT.2018.8473250
Singh, G., Sharma, D., Goap, A., Sehgal, S., Shukla, A. K., & Kumar, S. (2019). Machine Learning based soil moisture prediction for Internet of Things based Smart Irrigation System. Proceedings of IEEE International Conference on Signal Processing,Computing and Control, 2019-Octob, 175–180. https://doi.org/10.1109/ISPCC48220.2019.8988313
Singhal, A., Kohli, R., Dhamija, C., & Singh, N. (2019). RAIS - Remotely Accessible Irrigation System. Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018, Iciccs, 640–644. https://doi.org/10.1109/ICCONS.2018.8663181
Srilikhitha, I., Saikumar, M. M., Rajan, N., Neha, M. L., & Ganesan, M. (2018). Automatic irrigation system using soil moisture sensor and temperature sensor with microcontroller AT89S52. Proceedings of IEEE International Conference on Signal Processing and Communication, ICSPC 2017, 2018-Janua(July), 186–190. https://doi.org/10.1109/CSPC.2017.8305835
Sudharshan, N., Karthik, A. V. S. K., Kiran, J. S. S., & Geetha, S. (2019). Renewable Energy Based Smart Irrigation System. Procedia Computer Science, 165(2019), 615–623. https://doi.org/10.1016/j.procs.2020.01.055
Sureephong, P., Wiangnak, P., & Wicha, S. (2017). The comparison of soil sensors for integrated creation of IOT-based Wetting front detector (WFD) with an efficient irrigation system to support precision farming. 2nd Joint International Conference on Digital Arts, Media and Technology 2017: Digital Economy for Sustainable Growth, ICDAMT 2017, 132–135. https://doi.org/10.1109/ICDAMT.2017.7904949
Thakare, S., & Bhagat, P. H. (2019). Arduino-Based Smart Irrigation Using Sensors and ESP8266 WiFi Module. Proceedings of the 2nd International Conference on Intelligent Computing and Control Systems, ICICCS 2018, Iciccs, 1085–1089. https://doi.org/10.1109/ICCONS.2018.8663041
Vaishali, S., Suraj, S., Vignesh, G., Dhivya, S., & Udhayakumar, S. (2018). Mobile integrated smart irrigation management and monitoring system using IOT. Proceedings of the 2017 IEEE International Conference on Communication and Signal Processing, ICCSP 2017, 2018-Janua, 2164–2167. https://doi.org/10.1109/ICCSP.2017.8286792
Vij, A., Vijendra, S., Jain, A., Bajaj, S., Bassi, A., & Sharma, A. (2020). IoT and Machine Learning Approaches for Automation of Farm Irrigation System. Procedia Computer Science, 167(2019), 1250–1257. https://doi.org/10.1016/j.procs.2020.03.440
Vijay, Saini, A. K., Banerjee, S., & Nigam, H. (2020). An IoT Instrumented Smart Agricultural Monitoring and Irrigation System. 2020 International Conference on Artificial Intelligence and Signal Processing, AISP 2020, 1–4. https://doi.org/10.1109/AISP48273.2020.9073605
Wakhare, P. B., Neduncheliyan, S., & Sonawane, G. S. (2020). Automatic Irrigation System Based on Internet of Things for Crop Yield Prediction. 2020 International Conference on Emerging Smart Computing and Informatics, ESCI 2020, 129–132. https://doi.org/10.1109/ESCI48226.2020.9167626
Waleed, A., Riaz, M. T., Muneer, M. F., Ahmad, M. A., Mughal, A., Zafar, M. A., & Shakoor, M. M. (2019). Solar (PV) Water Irrigation System with Wireless Control. RAEE 2019 - International Symposium on Recent Advances in Electrical Engineering, 4, 1–4. https://doi.org/10.1109/RAEE.2019.8886970
Yashaswini, L. S., Vani, H. U., Sinchana, H. N., & Kumar, N. (2018). Smart automated irrigation system with disease prediction. IEEE International Conference on Power, Control, Signals and Instrumentation Engineering, ICPCSI 2017, 422–427. https://doi.org/10.1109/ICPCSI.2017.8392329
Zavala, V., López-Luque, R., Reca, J., Martínez, J., & Lao, M. T. (2020). Optimal management of a multisector standalone direct pumping photovoltaic irrigation system. Applied Energy, 260(December 2019), 114261. https://doi.org/10.1016/j.apenergy.2019.114261