Integrating Eco-Friendly Technologies into Crop Production Systems for Agricultural Sustainability: A Literature Review
Keywords:
Sustainable Agriculture, Environmentally Friendly Technology, Precision AgricultureAbstract
Environmental degradation and the increasing demand for food production have become major challenges in modern agricultural systems, emphasizing the need for sustainable and environmentally friendly cultivation practices. This study analyzes the integration of environmentally friendly technologies in crop cultivation systems to support agricultural sustainability using a systematic literature review approach. A total of 15 scientific articles published between 2011 and 2025 were selected based on predefined inclusion criteria. The results show that technologies such as precision agriculture, Internet of Things (IoT), artificial intelligence (AI), and smart farming systems play a significant role in improving productivity, optimizing resource use, and reducing environmental impacts. These technologies enable real-time monitoring, data collection, and data-driven decision-making, leading to more efficient and adaptive agricultural practices. The findings further indicate that the integration of multiple technologies is more effective than single-technology applications, particularly in enhancing system performance through coordinated data processing and precision-based management. Despite these advantages, several challenges remain, including high implementation costs, limited technical capacity, and inadequate infrastructure. Therefore, the adoption of integrated environmentally friendly technologies requires strong policy support, investment in digital infrastructure, and capacity-building programs. Overall, technological integration represents a key strategy for achieving sustainable and resilient agricultural systems. These findings emphasize that integrating environmentally friendly technologies is a key strategy for achieving sustainable and resilient agricultural systems.
References
Abu, N. S., Bukhari, W. M., Ong, C. H., Kassim, A. M., Izzuddin, T. A., Sukhaimie, M. N., Norasikin, M. A., & Rasid, A. F. A. (2022). Internet of Things applications in precision agriculture: A review. Journal of Robotics and Control (JRC), 3(3), 338–347. https://doi.org/10.18196/jrc.v3i3.14159
Carolan, M. (2020). Automated agrifood futures: Robotics, labor and the distributive politics of digital agriculture. Sociologia Ruralis, 60(1), 184–207. https://doi.org/10.1111/soru.12284
Idier, H., Dehhaoui, M., Maatala, N., & Kadi, K. (2024). Assessing the impact of precision farming technologies: A literature review. World Journal of Agricultural Science and Technology, 2(4), 161–179. https://doi.org/10.11648/j.wjast.20240204.17
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0. Agricultural Systems, 170, 134–148. https://doi.org/10.1016/j.agsy.2018.12.002
Lee, C.-L., Strong, R., & Dooley, K. E. (2021). Analyzing precision agriculture adoption across the globe: A systematic review of scholarship from 1999–2020. Sustainability, 13(18), 10295. https://doi.org/10.3390/su131810295
Liakos, K. G., Busato, P., Moshou, D., Pearson, S., & Bochtis, D. (2018). Machine learning in agriculture: A review. Agriculture, 8(12), 195. https://doi.org/10.3390/agriculture8120195
Padhiary, M., Kumar, A., & Sethi, L. N. (2025). Emerging technologies for smart and sustainable precision agriculture. Discover Robotics, 1(1), 6. https://doi.org/10.1007/s44430-025-00006-0
Pretty, J., Benton, T. G., Bharucha, Z. P., Dicks, L. V., Flora, C. B., Godfray, H. C. J., Goulson, D., Hartley, S., Lampkin, N., Morris, C., Pierzynski, G., Prasad, P. V. V., Reganold, J., Rockström, J., Smith, P., Thorne, P., & Wratten, S. (2018). Global assessment of agricultural system redesign for sustainable intensification. Philosophical Transactions of the Royal Society B, 373(1761), 20170272. https://doi.org/10.1098/rstb.2017.0272
Raj, M., & Prahadeeswaran, M. (2025). Revolutionizing agriculture: A review of smart farming technologies for a sustainable future. Discover Applied Sciences, 7(9), 937. https://doi.org/10.1007/s42452-025-07561-6
Rotz, S., Gravely, E., Mosby, I., Duncan, E., Finnis, E., Horgan, M., LeBlanc, J., Martin, R., Neufeld, H., Nixon, A., & Pant, L. (2019). Automated pastures and the digital divide: How agricultural technologies are shaping labour and rural communities. Journal of Rural Studies, 68, 112–122. https://doi.org/10.1016/j.jrurstud.2019.01.023
Sharma, S. (2023). Precision agriculture: Reviewing the advancements, technologies, and applications in precision agriculture for improved crop productivity and resource management. Reviews in Food and Agriculture, 4(2), 45–49. https://doi.org/10.26480/rfna.02.2023.45.49
Singh, V. (2024). Advances in precision agriculture technologies for sustainable crop production. Journal of Scientific Research and Reports, 30(2), 61–71. https://doi.org/10.9734/jsrr/2024/v30i21844
Talavera, J. M., Tobón, L. E., Gómez, J. A., Culman, M. A., Aranda, J. M., Parra, D. T., Quiroz, L. A., & Hoyos, A. B. (2017). Review of IoT applications in agro-industrial and environmental fields. Sensors, 17(12), 2793. https://doi.org/10.3390/s17122793
Tilman, D., Balzer, C., Hill, J., & Befort, B. L. (2011). Global food demand and the sustainable intensification of agriculture. Proceedings of the National Academy of Sciences, 108(50), 20260–20264. https://doi.org/10.1073/pnas.1116437108
Wolfert, S., Ge, L., Verdouw, C., & Bogaardt, M. J. (2017). Big data in smart farming: A review. Agricultural Systems, 153, 69–80. https://doi.org/10.1016/j.agsy.2017.01.023
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Plant and Agribusiness Research of Applied Knowledge (Parak)

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

