Technology Transfer and Adaptability in Smart Irrigation Systems: A Classification Based on Country-Specific Performance Indicators
DOI:
https://doi.org/10.5281/zenodo.16896180Keywords:
Smart irrigation, meta-analysis, adaptability, digital agriculture, Artificial Intelligence, Agri-Tech, AI, Technology, Agriculture, IrrigationAbstract
This study examines the relationships of smart agricultural irrigation systems under different conditions. The research statistically analyzes the adaptability and effectiveness of these systems according to country development level, climate type, technological approach, crop type, and implementing institution. A total of 64 independent studies were included. Using the meta-analysis research method, a detailed literature review was conducted. The correlation coefficients obtained were converted into the widely used Fisher’s Z values to allow for statistical comparisons and to prevent distortions in statistical results. Additionally, subgroup analyses were conducted to identify and reveal contextual differences. The findings indicate a high overall mean correlation (r = 0.853), demonstrating that these technologies have a strong impact on agricultural productivity. However, the high heterogeneity observed across all subgroups (I² > 75%) shows that success depends not only on technical performance but also on environmental, social, and institutional factors. Examination of developed countries, temperate climates, AI/ML-based systems, and academic implementations reveals that the highest adaptability was found in these categories. In contrast, developing countries, tropical climates, and farmer-led applications faced challenges due to infrastructure limitations, data accuracy issues, and operational constraints. The results highlight the importance of technology transfer strategies necessary to enhance the success of digital transformation in agriculture.
Keywords: Smart irrigation, meta-analysis, adaptability, digital agriculture, technology transfer, Fisher’s Z transformation, agri-tech.
References
Abdelmoneim, Ahmed A., Hilda N. Kimaita, Christa M. Al Kalaany, Bilal Derardja, Giovanna Dragonetti, And Roula Khadra. 2025. ‘Iot Sensing For Advanced Irrigation Management: A Systematic Review Of Trends, Challenges, And Future Prospects’. Sensors 25(7):2291. Doi:10.3390/S25072291.
Abu Sayem, Md., Md. Siddiqur Rahman, And Innika Khatun. 2023. ‘Monitoring And Controlling Of Smart Irrigation System’. Pp. 683–94 İn The Fourth Industrial Revolution And Beyond. Vol. 980, Lecture Notes İn Electrical Engineering, Edited By Md. S. Hossain, S. P. Majumder, N. Siddique, And Md. Shahadat Hossain. Singapore: Springer Nature Singapore.
Ali, Salamat, Rabia Nawaz, Sharoon Azad, Muhammad Sadiq Orakzai, Saqib Amin, Zohaib A. Khan, Faraz Akram, And Usman Masud. 2022. ‘Solar Powered Smart Irrigation System’. Pakistan Journal Of Engineering And Technology 5(1):49–55. Doi:10.51846/Vol5iss1pp49-55.
Amarasingam, Narmilan, Muneeb Muhamed Musthafa, Mohamed Mujithaba Mohamed Najim, And Mirza Barjees Baig. 2024. ‘Applications Of Smart Agriculture İn Irrigation Water Management İn Developing Countries: The Way Forward’. Pp. 395–421 İn Climate-Smart And Resilient Food Systems And Security. Springer, Cham.
Ara, Anees, Maya Emar, Renad Mahmoud, Noaf Alarifi, Leen Alghamdi, And Shoug Alotaibi. 2024. ‘A Systematic Risk Assessment Approach For Securing The Smart Irrigation Systems’. International Journal Of Network Security & Its Applications 16(3):01–21. Doi:10.5121/İjnsa.2024.16301.
Athawale, Deepak, Kaushik Jain, Vaishnavi Meher, Shreyas Waghamare, And Kushagra Pandey. 2024. ‘Iot Based Smart Irrigation System’. Interantional Journal Of Scientific Research In Engıneering And Management 08(04):1–5. Doi:10.55041/IJSREM31307.
Bwambale, Erion, Felix K. Abagale, And Geophrey K. Anornu. 2023. ‘Smart Irrigation For Climate Change Adaptation And Improved Food Security’. Doi:10.5772/İntechopen.106628.
Chen, Xieyang, And Tongsheng Li. 2022. ‘Diffusion Of Agricultural Technology Innovation: Research Progress Of Innovation Diffusion İn Chinese Agricultural Science And Technology Parks’. Sustainability 14(22):15008. Doi:10.3390/Su142215008.
Daraz, Umar, Štefan Bojnec, And Younas Khan. 2025. ‘Energy-Efficient Smart Irrigation Technologies: A Pathway To Water And Energy Sustainability İn Agriculture’. Agriculture 15(5):554. Doi:10.3390/Agriculture15050554.
Diallo, Mamadou Cellou Abdoulaye, Rodrigo Couto Santos, Eder Pereira Gomes, Carlos Alberto Chuba Machado, Carlos Tadeu Dos Santos Dias, Elizângela Cabral Dos Santos, Gleice Aparecida Cabreira Padilha, Matheus Dias Belarmino, Marcelo Galiaso, Allan Stanislawski Riffel, Edlaine Aparecida Siqueira Da Silva, And Felipo Lovatto. 2024. ‘Challenges Of Smart Irrigation Implementation İn Water Optimization And Agricultural Sustainability’. Contribuciones A Las Ciencias Sociales 17(13):E13723. Doi:10.55905/Revconv.17n.13-270.
Gamal, Yomna, Ahmed Soltan, Lobna A. Said, Ahmed H. Madian, And Ahmed G. Radwan. 2025. ‘Smart Irrigation Systems: Overview’. IEEE Access 13:66109–21. Doi:10.1109/ACCESS.2023.3251655.
Gebbers, Robin, And Viacheslav I. Adamchuk. 2010. ‘Precision Agriculture And Food Security’. Science 327(5967):828–31. Doi:10.1126/Science.1183899.
Gulomjonovich, Goyipov Umidjon, And O‘Rmonov Musoxon Nodirjon O‘G‘Li. 2024. ‘Fundamentals Of Designing Intellıgent Irrigatıon Systems’. European International Journal Of Multidisciplinary Research And Management Studies 4(10):46–49. Doi:10.55640/Eijmrms-04-10-07.
Huang, Chao, Weiqiang Zhang, Hui Wang, Yang Gao, Shoutian Ma, Anzhen Qin, Zugui Liu, Ben Zhao, Dongfeng Ning, Hongjian Zheng, And Zhandong Liu. 2022. ‘Effects Of Waterlogging At Different Stages On Growth And Ear Quality Of Waxy Maize’. Agricultural Water Management 266:107603. Doi:10.1016/J.Agwat.2022.107603.
Karadavut, Tuğba. 2021. ‘Bağımsız Korelasyon Katsayıları İçin Hipotez Testleri: Spss Ve Microsoft Excel Uygulamaları’. Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi 21(2):375–89. Doi:10.17240/Aibuefd.2021.21.62826-810642.
Kaushik, Shambhavi, And Karan Singh. 2025. ‘AI-Driven Smart Irrigation And Resource Optimization For Sustainable Precision Agriculture’. Journal Of Scientific Innovation And Advanced Research (JSIAR) 1(2):168–77.
Khebbache, Roufaida, Abdelhak Merizig, Khaled Rezeg, And Jaime Lloret. 2023. ‘The Recent Technological Trends Of Smart Irrigation Systems İn Smart Farming: A Review’. International Journal Of Computing And Digital Systems 14(1):10317–35. Doi:10.12785/İjcds/1401104.
Liu, Xinying, Zhihuan Zhao, And Amin Rezaeipanah. 2025. ‘Intelligent And Automatic Irrigation System Based On Internet Of Things Using Fuzzy Control Technology’. Scientific Reports 15(1):14577. Doi:10.1038/S41598-025-98137-2.
Mandal, Subhrajit, Anamika Yadav, Rishab Panwar, Sm Shravan Kumar, Alagar Karthick, Arunkumar Priya, R. Vijayakumar, And Sundaram Sankar Ganesh. 2025. ‘Smart Water Management For SDG 6: A Review Of AI And Iot-Enabled Solutions’. Water Conservation Science And Engineering 10(2):83. Doi:10.1007/S41101-025-00407-7.
Masseroni, Daniele, Gerard Arbat, And Isabel Pedroso De Lima. 2020. ‘Editorial—Managing And Planning Water Resources For Irrigation: Smart-Irrigation Systems For Providing Sustainable Agriculture And Maintaining Ecosystem Services’. Water 12(1):263. Doi:10.3390/W12010263.
Maulana, R. A., And E. Antriyandarti. 2022. ‘Transfer Of Knowledge And Technology To Farmers İn The Karst Mountains Through Agricultural Extension Board’. IOP Conference Series: Earth And Environmental Science 1107(1):012115. Doi:10.1088/1755-1315/1107/1/012115.
Muharomah, Riani, Budi Indra Setiawan, Gary R. Sands, Imroatul Chalimah Juliana, And Taufik Ari Gunawan. 2025. ‘A Review On Enhancing Water Productivities Adaptive To The Climate Change’. Journal Of Water And Climate Change 16(3):860–87. Doi:10.2166/Wcc.2025.240.
Öztürk, Sabri, Selin İlayda Ülküsoy, And Sedat Atmaca. 2023. ‘Tarım 4.0 Akıllı Teknoloji Asistanı İle Veri Analitiği Modellemeli Otonom Bir Sulama Sistemi Geliştirilmesi’. International Journal Of Advanced Natural Sciences And Engineering Researches 7(5):134–39. Doi:10.59287/İjanser.914.
Patle, G. T., Mukesh Kumar, And Manoj Khanna. 2020. ‘Climate-Smart Water Technologies For Sustainable Agriculture: A Review’. Journal Of Water And Climate Change 11(4):1455–66. Doi:10.2166/Wcc.2019.257.
Pratama, Aria Julianto, And Rully Mandela. 2024. ‘Evaluating The Effectiveness Of Smart Irrigation Systems İn Improving Agricultural Productivity’. Agricultural Power Journal 1(4):1–9. Doi:10.70076/Apj.V1i4.43.
Priyambada, I. B., N. Hardyanti, M. A. Budihardjo, A. S. Puspita, And A. P. Cahyati. 2023. ‘A Review Of Smart Agricultural Transition To Achieving Sustainable Development Goals (Sdgs): Smart Irrigation System’. IOP Conference Series: Earth And Environmental Science 1268(1):012010. Doi:10.1088/1755-1315/1268/1/012010.
Rodrigues, Gonçalo C. 2022. ‘Precision Agriculture: Strategies And Technology Adoption’. Agriculture 12(9):1474. Doi:10.3390/Agriculture12091474.
Şahin, Emrah. 2011. ‘Teknoloji Transferi Yöntemleri Bağlamında Türkiye’de Yabancı Sermaye Yatırımları İle Üniversite-Sanayi İşbirliğinin Gelişimi’. Selçuk Üniversitesi Sosyal Ve Teknik Araştırmalar Dergisi (2):1–19.
Sishodia, Rajendra P., Ram L. Ray, And Sudhir K. Singh. 2020. ‘Applications Of Remote Sensing İn Precision Agriculture: A Review’. Remote Sensing 12(19):3136. Doi:10.3390/Rs12193136.
Sulandjari, Kuswarini, Zainal Abidin, Mitra Musika Lubis, And Diah Retno Dwi Hastuti. 2023. ‘Effect Of Community Participation, Knowledge Transfer, Technology Adoption On Community Food Security And Agricultural Sustainability: A Study On Farmer Entrepreneurs İn Indonesia’. West Science Interdisciplinary Studies 1(10):1080–91. Doi:10.58812/Wsis.V1i10.310.
Taştan, Mehmet. 2019. ‘Nesnelerin İnterneti Tabanlı Akıllı Sulama Ve Uzaktan İzleme Sistemi’. Avrupa Bilim Ve Teknoloji Dergisi (15):229–36. Doi:10.31590/Ejosat.525149.
Tiryakioğlu, Murad. 2011. ‘Teknoloji Transferi, Teknoloji Yoksulluğu mu?’ Ankara Üniversitesi SBF Dergisi 66(02):169–99. Doi:10.1501/Sbfder_0000002207.
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