Agriculture 5.0: A New Strategic Management Mode for a Cut Cost and an Energy Efficient Agriculture Sector
Open accessAbstract
The farmers’ welfare and its interlinkages to energy efficiency and farm sustainability has attracted global scientific interest within the last few decades. This study examines the contribution of Agriculture 5.0 to the prosperity of the farmers in the post-pandemic era and the gradual transition to an energy-smart farm. To obtain an insight into the attributes of Agriculture 5.0 and the emerging technologies in the field, Bibliometrix analysis with the use of an R package was conducted based on 2000 data consisting of peer-reviewed articles. The data were retrieved from the Scopus database. A bibliometric approach was employed to analyze the data for a comprehensive overview of the trend, thematic focus, and scientific production in the field of Agriculture 5.0 and energy-smart farming. Emerging technologies that are part of Agriculture 5.0 in combination with alternative energy sources can provide cost-effective access to finance, weather updates, remotely monitoring, and future energy solutions for the establishment of smart farms. Keywords such as “renewable energy,” “Internet of Things,” and “emission control” remain the trending keywords. Moreover, thematic analysis shows that “economic and social effects”, “energy efficiency”, “remote sensing”, and “Artificial Intelligence” with their associated components such as “anaerobic digestion”, “wireless sensor network,” “agricultural robots”, and “smart agriculture” are the niche themes of Agriculture 5.0 in combination with green energy sources, which can lead to the cut cost, energy-efficient, and sustainable energy-smart farms.
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Cites
bibliometrix: An R-tool for comprehensive science mapping analysis
Aria, M., & Cuccurullo, C. (2017) · Journal of Informetrics · doi:10.1016/j.joi.2017.08.007 · Cited by 16,064 · see citing works
Bwambale, E., Abagale, F. K., & Anornu, G. K. (2021) · Agricultural Water Management · doi:10.1016/j.agwat.2021.107324 · Cited by 715 · see citing works
Review the state-of-the-art technologies of semantic segmentation based on deep learning
Mo, Y., Wu, Y. X., Yang, X., Liu, F., & Liao, Y. (2022) · Neurocomputing · doi:10.1016/j.neucom.2022.01.005 · Cited by 669 · see citing works
Digital twins in smart farming
Verdouw, C., Tekinerdoğan, B., Beulens, A., & Wolfert, S. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2020.103046 · Cited by 634 · see citing works
Smart farming for improving agricultural management
Mohamed, E. S., Belal, A., Abd‐Elmabod, S. K., El-Shirbeny, M. A., Gad, A., & Zahran, M. (2021) · The Egyptian Journal of Remote Sensing and Space Science · doi:10.1016/j.ejrs.2021.08.007 · Cited by 495 · see citing works
Xie, L., Chen, Z., Wang, H., Zheng, C., & Jiang, J. (2020) · World Neurosurgery · doi:10.1016/j.wneu.2020.01.171 · Cited by 284 · see citing works
How digital marketing evolved over time: A bibliometric analysis on scopus database
Faruk, M., Rahman, M., & Hasan, S. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e08603 · Cited by 214 · see citing works
Niknejad, N., Ismail, W., Bahari, M., Hendradi, R., & Salleh, A. Z. (2020) · Environmental Technology & Innovation · doi:10.1016/j.eti.2020.101272 · Cited by 194 · see citing works
Making sense in the cloud: Farm advisory services in a smart farming future
Eastwood, C., Ayre, M. L., Nettle, R. A., & Rue, B. D. (2019) · NJAS - Wageningen Journal of Life Sciences · doi:10.1016/j.njas.2019.04.004 · Cited by 183 · see citing works
Zhang, M., Wang, X., Feng, H., Huang, Q., Xiao, X., & Zhang, X. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.127712 · Cited by 181 · see citing works
Lamprinopoulou, C., Renwick, A., Klerkx, L., Hermans, F., & Roep, D. (2014) · Agricultural Systems · doi:10.1016/j.agsy.2014.05.001 · Cited by 173 · see citing works
Research progress, trends, and updates on anaerobic digestion technology: A bibliometric analysis
Ampese, L. C., Sganzerla, W. G., Ziero, H. D. D., Mudhoo, A., Martins, G., & Forster‐Carneiro, T. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.130004 · Cited by 173 · see citing works
A bibliometric analysis of sustainable oil and gas production research using VOSviewer
Tamala, J. K., Maramag, E. I., Simeon, K. A., & Ignacio, J. J. (2022) · Cleaner Engineering and Technology · doi:10.1016/j.clet.2022.100437 · Cited by 160 · see citing works
A survey on smart farming data, applications and techniques
Alwis, S. D., Hou, Z., Zhang, Y., Na, M. H., Ofoghi, B., & Sajjanhar, A. (2022) · Computers in Industry · doi:10.1016/j.compind.2022.103624 · Cited by 158 · see citing works
A systematic literature review on deep learning applications for precision cattle farming
Mahmud, M. S., Zahid, A., Das, A. K., Muzammil, M., & Khan, M. U. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106313 · Cited by 149 · see citing works
Agricultural productivity and the sectoral reallocation of labor in rural India
Emerick, K. (2018) · Journal of Development Economics · doi:10.1016/j.jdeveco.2018.08.013 · Cited by 146 · see citing works
Ramachandran, K. K., Mary, A. A. S., Hawladar, S., Asokk, D., Bhaskar, B., & Pitroda, J. (2021) · Materials Today Proceedings · doi:10.1016/j.matpr.2021.11.544 · Cited by 144 · see citing works
AI applications of data sharing in agriculture 4.0: A framework for role-based data access control
Spanaki, K., Karafili, E., & Despoudi, S. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102350 · Cited by 134 · see citing works
Deep learning-based spacecraft relative navigation methods: A survey
Song, J., Rondao, D., & Aouf, N. (2022) · Acta Astronautica · doi:10.1016/j.actaastro.2021.10.025 · Cited by 106 · see citing works
Precision agriculture adoption and technical efficiency: An analysis of sugarcane farms in Brazil
Carrer, M. J., Filho, H. M. D. S., Vinholis, M. D. M. B., & Mozambani, C. I. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2022.121510 · Cited by 106 · see citing works
Agriculture 5.0: Reconciling Production with Planetary Health
Fraser, E., & Campbell, M. (2019) · One Earth · doi:10.1016/j.oneear.2019.10.022 · Cited by 105 · see citing works
Deep learning based assistive technology on audio visual speech recognition for hearing impaired
Kumar, L. A., Renuka, D. K., Rose, S. L., Chinnan, S. P. M., & Wartana, I. M. (2022) · International Journal of Cognitive Computing in Engineering · doi:10.1016/j.ijcce.2022.01.003 · Cited by 100 · see citing works
India's COVID-19 social assistance package and its impact on the agriculture sector
Varshney, D., Kumar, A., Mishra, A. K., Rashid, S., & Joshi, P. K. (2021) · Agricultural Systems · doi:10.1016/j.agsy.2021.103049 · Cited by 99 · see citing works
Towards Smart Farming: Fog-enabled intelligent irrigation system using deep neural networks
Cordeiro, M., Markert, C. B., Araújo, S. S., Campos, N. G. S., Gondim, R. S., da Silva, T. L. C., & Rocha, A. R. D. (2021) · Future Generation Computer Systems · doi:10.1016/j.future.2021.11.013 · Cited by 90 · see citing works
Sustainability-oriented research and innovation in ‘farm to fork’ value chains
Riccaboni, A., Neri, E., Trovarelli, F., & Pulselli, R. M. (2021) · Current Opinion in Food Science · doi:10.1016/j.cofs.2021.04.006 · Cited by 81 · see citing works
Photovoltaic Agricultural Internet of Things Towards Realizing the Next Generation of Smart Farming
Huang, K., Shu, L., Li, K., Yang, F., Han, G., Wang, X., & Pearson, S. (2020) · IEEE Access · doi:10.1109/access.2020.2988663 · Cited by 79 · see citing works
‘You can't eat data’?: Moving beyond the misconfigured innovations of smart farming
Fraser, A. (2021) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2021.06.010 · Cited by 78 · see citing works
IoT-Agro: A smart farming system to Colombian coffee farms
Rodríguez, J. P., Montoya‐Munoz, A. I., Rodriguez-Pabon, C., Hoyos, J., & Corrales, J. C. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106442 · Cited by 73 · see citing works
Digital from farm to fork: Infrastructures of quality and control in food supply chains
Donaldson, D. A. (2021) · Journal of Rural Studies · doi:10.1016/j.jrurstud.2021.10.004 · Cited by 63 · see citing works
Van, J. C. F., Tham, P. E., Lim, H. R., Khoo, K. S., Chang, J., & Show, P. L. (2022) · Journal of the Taiwan Institute of Chemical Engineers · doi:10.1016/j.jtice.2022.104235 · Cited by 62 · see citing works
Gavurová, B., Келемен, М., & Polishchuk, V. (2022) · Socio-Economic Planning Sciences · doi:10.1016/j.seps.2022.101253 · Cited by 60 · see citing works
Sustainable renewable energy planning and wind farming optimization from a biodiversity perspective
Dhunny, A. Z., Allam, Z., Lobine, D., & Lollchund, M. R. (2019) · Energy · doi:10.1016/j.energy.2019.07.147 · Cited by 48 · see citing works
You, H. (2016) · Land Use Policy · doi:10.1016/j.landusepol.2016.11.025 · Cited by 46 · see citing works
Billing, S., Charalambides, G., Tett, P., Giordano, M., Ruzzo, C., Arena, F., Santoro, A., Lagasco, F., Brizzi, G., & Collu, M. (2021) · Energy Research & Social Science · doi:10.1016/j.erss.2021.102421 · Cited by 43 · see citing works
Integrated environmental assessment of energy crops for biofuel and energy production in Greece
Fontaras, G., Skoulou, V. K., Zanakis, G., Zabaniotou, A. A., & Samaras, Z. C. (2012) · Renewable Energy · doi:10.1016/j.renene.2011.12.010 · Cited by 41 · see citing works
Cortignani, R., Buttinelli, R., & Dono, G. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.152259 · Cited by 39 · see citing works
Impact of artificial intelligence on civilization: Future perspectives
Rajendra, P., Kumari, M., Rani, S., Dogra, N., Boadh, R., Kumar, A., & Dahiya, M. (2022) · Materials Today Proceedings · doi:10.1016/j.matpr.2022.01.113 · Cited by 37 · see citing works
Smart agriculture using renewable energy and AI-powered IoT
Doshi, M., & Varghese, A. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-823694-9.00028-1 · Cited by 37 · see citing works
Balancing biodiversity and agriculture: Conservation scenarios for the Dutch dairy sector
Kok, A., Oostvogels, V. J., de Olde, E. M., & Ripoll‐Bosch, R. (2020) · Agriculture Ecosystems & Environment · doi:10.1016/j.agee.2020.107103 · Cited by 33 · see citing works
Behera, B. S., Panda, B., Behera, R. A., Nayak, N., Behera, A. C., & Jena, S. (2015) · Procedia Computer Science · doi:10.1016/j.procs.2015.04.148 · Cited by 31 · see citing works
Emergent urban agricultural practices and attitudes in the residential area in China
Yuan, W., & Jones, P. R. (2022) · Urban forestry & urban greening · doi:10.1016/j.ufug.2022.127491 · Cited by 28 · see citing works
Selim, T., & Eltarabily, M. G. (2021) · Ain Shams Engineering Journal · doi:10.1016/j.asej.2021.11.018 · Cited by 26 · see citing works
The digital asset value and currency supervision under deep learning and blockchain technology
Fan, H. (2022) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2021.114061 · Cited by 25 · see citing works
Sinha, A., Priyadarshi, P., Bhushan, M., & Debbarma, D. (2021) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2021.11.002 · Cited by 24 · see citing works
Pisanó, I., Gottumukkala, L. D., Hayes, D. J. M., & Leahy, J. J. (2021) · Industrial Crops and Products · doi:10.1016/j.indcrop.2021.113857 · Cited by 23 · see citing works
Implementation of the PaperRank and AuthorRank indices in the Scopus database
Amodio, P., Luigi Brugnano, A., & Scarselli, F. (2021) · Journal of Informetrics · doi:10.1016/j.joi.2021.101206 · Cited by 21 · see citing works
Machine learning and control theory
Bensoussan, A., Li, Y., Nguyen, D. P. C., Tran, M.-B., Yam, S. C. P., & Zhou, X. (2022) · Handbook of numerical analysis · doi:10.1016/bs.hna.2021.12.016 · Cited by 17 · see citing works
Smart farming in pig production and greenhouse horticulture : An inventory in the Netherlands
Hoste, R., Suh, H. K., & Kortstee, H. J. M. (2017) · doi:10.18174/425037 · Cited by 17 · see citing works
Manlove, J. L., Shew, A. M., & Obembe, O. S. (2021) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2021.106432 · Cited by 15 · see citing works
Business Strategies in HR in Times of Crisis: The Case of Agri-Food Industry in Central Greece
Ragazou, K. (2021) · Businesses · doi:10.3390/businesses1010004 · Cited by 12 · see citing works
Self-citationFeasibility of using different renewable energy sources in Brazilian swine farmings
de Oliveira, A. C. L., Fernandes, O. R., Renato, N. D. S., & Borges, A. C. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.130040 · Cited by 12 · see citing works
Engels, H., & Jonker, J. B. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819817-9.00019-3 · Cited by 4 · see citing works
Flagged first, then by citations
1 of the 53 references couldn’t be matched to a known paper.
Research works printed but not linked: 2
- Majid, A.A.M.; Alshaibi, A.J.; Kostyuchenko, E.; Shelupanov, A. A review of artificial intelligence based malware detection using deep learning. Mater. Today Proc. 2021; epub ahead of print. [CrossRef] · DOI
- Shrivastava, A.; Nayak, C.K.; Dilip, R.; Samal, S.R.; Rout, S.; Ashfaque, S.M. Automatic robotic system design and development for vertical hydroponic farming using IoT and big data analysis. Mater. Today Proc. 2021; epub ahead of print. [CrossRef] · DOI
Cited by
Sorted by citations
Lakhiar, I. A., Yan, H., Zhang, C., Wang, G., He, B., Hao, B., Han, Y., Wang, B., Bao, R., Syed, T. N., et al. (2024) · Agriculture · doi:10.3390/agriculture14071141 · Cited by 474 · see citing works
The IoT and AI in Agriculture: The Time Is Now—A Systematic Review of Smart Sensing Technologies
Miller, T. I., Mikiciuk, G., Durlik, I., Mikiciuk, M., Łobodzińska, A., & Śnieg, M. (2025) · Sensors · doi:10.3390/s25123583 · Cited by 352 · see citing works
A Review of CNN Applications in Smart Agriculture Using Multimodal Data
Sakka, M. E., Ivanovici, M., Chaâri, L., & Mothe, J. (2025) · Sensors · doi:10.3390/s25020472 · Cited by 215 · see citing works
Sustainable Crop Protection via Robotics and Artificial Intelligence Solutions
Balaska, V. E., Adamidou, Z., Vryzas, Z., & Gasteratos, A. C. (2023) · Machines · doi:10.3390/machines11080774 · Cited by 181 · see citing works
Taha, M. F., Mao, H., Zhang, Z., ElMasry, G. M., Awad, M. A., Abdalla, A., Mousa, S., Elwakeel, A. E., & Elsherbiny, O. (2025) · Agriculture · doi:10.3390/agriculture15060582 · Cited by 180 · see citing works
Examining the interplay between artificial intelligence and the agri-food industry
Rejeb, A., Rejeb, K., Zailani, S. H. M., Keogh, J. G., & Appolloni, A. (2022) · Artificial Intelligence in Agriculture · doi:10.1016/j.aiia.2022.08.002 · Cited by 131 · see citing works
Automation’s Impact on Agriculture: Opportunities, Challenges, and Economic Effects
Bazargani, K., & Deemyad, T. (2024) · Robotics · doi:10.3390/robotics13020033 · Cited by 129 · see citing works
The impact of 6G-IoT technologies on the development of agriculture 5.0: a review
Polymeni, S., Plastras, S., Skoutas, D. N., Kormentzas, G., & Skianis, C. (2023) · Electronics · doi:10.3390/electronics12122651 · Cited by 121 · see citing works
Thilakarathne, N. N., Bakar, M. S. A., Abas, P. E., & Yassin, H. (2025) · Heliyon · doi:10.1016/j.heliyon.2025.e42136 · Cited by 127 · see citing works
Fragomeli, R., Annunziata, A., & Punzo, G. (2024) · Sustainability · doi:10.3390/su16062425 · Cited by 99 · see citing works
Raihan, A. (2023) · Innovation and Green Development · doi:10.1016/j.igd.2023.100066 · Cited by 95 · see citing works
Bissadu, K. D., Sonko, S., & Hossain, G. (2024) · Information Processing in Agriculture · doi:10.1016/j.inpa.2024.04.003 · Cited by 90 · see citing works
Unraveling the European Agricultural Policy Sustainable Development Trajectory
Doukas, Y. E., Salvati, L., & Vardopoulos, I. (2023) · Land · doi:10.3390/land12091749 · Cited by 86 · see citing works
Agriculture 5.0 and Explainable AI for Smart Agriculture: A Scoping Review
Razak, A., Yogarayan, S., Sayeed, M. S., & Derafi, M. I. F. M. (2024) · Emerging Science Journal · doi:10.28991/esj-2024-08-02-024 · Cited by 75 · see citing works
AgriSecure: A Fog Computing-Based Security Framework for Agriculture 4.0 via Blockchain
Padhy, S. K., Alowaidi, M. A., Dash, S., Alshehri, M., Malla, P. P., Routray, S., & Alhumyani, H. A. (2023) · Processes · doi:10.3390/pr11030757 · Cited by 70 · see citing works
Bongomin, O., Lamo, J., Guina, J. M., Okello, C., Ocen, G. G., Obura, M., Alibu, S., Owino, C. A., Akwero, A., & Ojok, S. (2022) · The Plant Phenome Journal · doi:10.1002/ppj2.20096 · Cited by 64 · see citing works
Haloui, D., Oufaska, K., Oudani, M., & Yassini, K. E. (2024) · Sustainability · doi:10.3390/su16093507 · Cited by 61 · see citing works
Symeonaki, E. G., Maraveas, C., & Arvanitis, K. G. (2024) · Applied Sciences · doi:10.3390/app14020686 · Cited by 57 · see citing works
Chen, T., Lv, L., Wang, D., Zhang, J., Yang, Y., Zhao, Z., Wang, C., Guo, X., Chen, H., Wang, Q., et al. (2024) · ACM Computing Surveys · doi:10.1145/3698589 · Cited by 51 · see citing works
Ferreira, M. V. D. S., de Moraes, I. A., Passos, R. V. L., Barbin, D. F., & Barbosa, J. L. (2022) · Scientia Horticulturae · doi:10.1016/j.scienta.2022.111784 · Cited by 50 · see citing works
Rehman, W. U., Koondhar, M. A., Afridi, S. K., Albasha, L., Smaili, I. H., Touti, E., Aoudia, M., Zahrouni, W., Mahariq, I., & Ahmed, M. M. R. (2025) · Energy Nexus · doi:10.1016/j.nexus.2025.100368 · Cited by 46 · see citing works
Glady, J. B. P., D’Souza, S. M., Priya, A. P., Amuthachenthiru, K., Vikram, G., & Boopathi, S. (2024) · Advances in systems analysis, software engineering, and high performance computing book series · doi:10.4018/979-8-3693-1794-5.ch001 · Cited by 43 · see citing works
Mešić, A., Jurić, M., Donsı̀, F., Bandić, L. M., & Jurić, S. (2024) · Discover Sustainability · doi:10.1007/s43621-024-00581-z · Cited by 42 · see citing works
Nature‐based solutions are critical for putting Brazil on track towards net‐zero emissions by 2050
Soterroni, A. C., Império, M., Scarabello, M., Seddon, N., Obersteiner, M. H., Rochedo, P., Schaeffer, R., Andrade, P. R., Ramos, F. M., Azevedo, T., et al. (2023) · Global Change Biology · doi:10.1111/gcb.16984 · Cited by 39 · see citing works
A Survey of Computer Vision Technologies in Urban and Controlled-environment Agriculture
Luo, J., Li, B., & Leung, C. (2023) · ACM Computing Surveys · doi:10.1145/3626186 · Cited by 36 · see citing works
Environmental, social and governance (ESG) in agriculture: trends and gaps on research
de Almeida, A. C. L., Dale, A. P., Hay, R., Everingham, Y. L., & Lockie, S. (2024) · Australasian Journal of Environmental Management · doi:10.1080/14486563.2024.2430313 · Cited by 30 · see citing works
Розвиток інноваційної діяльності аграрних підприємств: на шляху до агробізнесу 4.0
Кучер, Л., Кучер, А., Khareba, V., Демидчук, Л. Б., & Skhidnytska, H. (2023) · Agricultural and Resource Economics International Scientific E-Journal · doi:10.51599/are.2023.09.04.11 · Cited by 29 · see citing works
Marino, R., Petrera, F., & Abeni, F. (2023) · Animals · doi:10.3390/ani13142280 · Cited by 28 · see citing works
The digital future of farming: A bibliometric analysis of big data in smart farming research
Paudel, B., Riaz, S., Teng, S. W., Kolluri, R. R., & Sandhu, H. (2024) · Cleaner and Circular Bioeconomy · doi:10.1016/j.clcb.2024.100132 · Cited by 30 · see citing works
Agyekum, E. B. (2024) · Sustainable Energy Technologies and Assessments · doi:10.1016/j.seta.2024.104055 · Cited by 26 · see citing works
Advancements in Agriculture 4.0 and the Needs for Introduction and Adoption in Ethiopia: A Review
Mihret, Y. C., Takele, M. M., & Mintesinot, S. M. (2025) · Advances in Agriculture · doi:10.1155/aia/8828400 · Cited by 25 · see citing works
Climate Change in Regional Perspective
Hoffmann, A. R., Sandrin, P. O., & Doukas, Y. E. (2024) · United Nations University series on regionalism · doi:10.1007/978-3-031-49329-4 · Cited by 25 · see citing works
Suproń, B., & Myszczyszyn, J. (2024) · Energies · doi:10.3390/en17153743 · Cited by 24 · see citing works
Doukas, Y. E., Vardopoulos, I., & Petides, P. (2024) · United Nations University series on regionalism · doi:10.1007/978-3-031-49329-4_8 · Cited by 23 · see citing works
Zhang, Y. (2024) · Sustainable Development · doi:10.1002/sd.2923 · Cited by 22 · see citing works
Scalable Knowledge Management to Meet Global 21st Century Challenges in Agriculture
Short, N. M., Woodward-Greene, M. J., Buser, M. D., & Roberts, D. P. (2023) · Land · doi:10.3390/land12030588 · Cited by 21 · see citing works
Ciasullo, M. V., & Ferrara, M. (2025) · Global Business and Organizational Excellence · doi:10.1002/joe.70000 · Cited by 19 · see citing works
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Kraft, M., Bernhardt, H., Brunsch, R., Büscher, W., Colangelo, E., Graf, H., Marquering, J., Tapken, H., Toppel, K., Westerkamp, C., et al. (2022) · Applied Sciences · doi:10.3390/app122412844 · Cited by 19 · see citing works
Technological Capabilities for the Adoption of New Technologies in the Agri-Food Sector of Mexico
Vargas-Canales, J. M. (2023) · Agriculture · doi:10.3390/agriculture13061177 · Cited by 19 · see citing works
Murugan, M., & Prabadevi, M. N. (2023) · Revista de Gestão Social e Ambiental · doi:10.24857/rgsa.v17n4-007 · Cited by 15 · see citing works
Bridging science and society: the integration of indigenous and scientific knowledge management
Sohad, M. K. N., & Mafrolla, E. (2025) · Journal of Knowledge Management · doi:10.1108/jkm-11-2024-1326 · Cited by 14 · see citing works
Smart Farming and the SDGs: Emerging Research Patterns and Sustainability Implications
Barroso-Barroso, C., Vega-Muñoz, A., Maradiaga-López, J., Salazar-Sepúlveda, G., & Carabantes-Silva, R. (2025) · Agriculture · doi:10.3390/agriculture16010081 · Cited by 13 · see citing works
Science, technology, agri-food systems, health, and wellbeing: logic, dynamics, and relationships
Vargas-Canales, J. M., Orozco-Cirilo, S., Estrada, S., Ovando, P. S. D. C., Vera, J. H. C., López-Carmona, D., Melchor, N. G., Rodríguez-Haros, B., Valdés-Cobos, A., Torres, Y. S., et al. (2024) · Frontiers in Sustainable Food Systems · doi:10.3389/fsufs.2024.1344357 · Cited by 12 · see citing works
Digital Transformation in Agriculture
Ivanovici, M., Olteanu, G., Florea, C., Coliban, R., Ştefan, M., & Marandskiy, K. (2024) · Intelligent systems reference library · doi:10.1007/978-3-031-63337-9_9 · Cited by 12 · see citing works
Cuomo, M. T., Genovino, C., de Andreis, F., Fauceglia, G., & Papa, A. (2024) · British Food Journal · doi:10.1108/bfj-05-2024-0431 · Cited by 12 · see citing works
Demircioğlu, P., Böğrekçi, İ., Durakbasa, M. N., & Bauer, J. M. (2024) · Lecture notes in mechanical engineering · doi:10.1007/978-3-031-53991-6_42 · Cited by 12 · see citing works
Ragazou, K., Garefalakis, A., Papademetriou, C., & Passas, I. (2023) · International Conference on Tourism Research · doi:10.34190/ictr.6.1.1066 · Cited by 10 · see citing works
Self-citationDrivers of Industry 5.0 technologies in dairy industry: an exploratory study
Malik, M., Mor, R. S., Gahlawat, V. K., Hassoun, A., & Jagtap, S. (2025) · Sustainable Food Technology · doi:10.1039/d5fb00156k · Cited by 10 · see citing works
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Na’im, M., & Boukhizzou, A. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.101788 · Cited by 10 · see citing works
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Gul, D., Banday, R. U. Z., & Muzamil, M. (2024) · Advances in Modern Agriculture · doi:10.54517/ama3078 · Cited by 9 · see citing works
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He, Y. (2022) · Sustainability · doi:10.3390/su15010602 · Cited by 9 · see citing works
Khan, A. A., Siddiqui, Y., Tan, G. H., & Ali, A. (2024) · ACS Food Science & Technology · doi:10.1021/acsfoodscitech.4c00140 · Cited by 8 · see citing works
Italian farmers’ preferences for adopting agriculture 4.0 technologies: A choice experiment analysis
Fragomeli, R., Zawadzki, W., Czajkowski, M., Annunziata, A., & Punzo, G. (2025) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2025.146601 · Cited by 8 · see citing works
Sayed, H. A. A., Lai, Q., Tu, J., Abdelhamid, M. A., Abdelkader, T. K., Tawfik, T. M., Olalekan, O. R., Uddin, M., & Refai, M. (2026) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2026.111415 · Cited by 8 · see citing works
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Sizan, N. S., Dey, D., Mia, M. S., & Layek, M. A. (2023) · International Conference on Sustainable Technologies for Industry 5.0 (STI) · doi:10.1109/sti59863.2023.10464478 · Cited by 8 · see citing works
An intelligent and secure internet of robotic things: A review and conceptual framework
Rahim, M. A., Rokonuzzaman, M., Alqumsan, A. A., Arogbonlo, A., Islam, M. Z., Trinh, H. M., & Islam, M. S. (2025) · Internet of Things · doi:10.1016/j.iot.2025.101684 · Cited by 7 · see citing works
Kivekäs, K., & Lajunen, A. (2024) · Energies · doi:10.3390/en17040966 · Cited by 7 · see citing works
Harnessing automation techniques for supporting sustainability in agriculture
Al-Sammarraie, M. A. J., & Ilbas, A. I. (2024) · Technology in Agronomy · doi:10.48130/tia-0024-0026 · Cited by 7 · see citing works
Sustainability analysis of FarmFox IoT device towards Agriculture 5.0
Das, A., Debnath, B., Sengupta, A., Das, A., & De, D. (2024) · Environment Development and Sustainability · doi:10.1007/s10668-024-05356-0 · Cited by 7 · see citing works
Pace, L., Galella, M., Ciaschini, C., Sateriano, A., Cudlín, P., Vardopoulos, I., Ρόντος, Κ., & Salvati, L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-31596-1.00007-6 · Cited by 7 · see citing works
The Great Transformation of the Agri-Food Sector: A Transformation for Life and Well-Being
Vargas-Canales, J. M. (2024) · Agronomy · doi:10.3390/agronomy14092123 · Cited by 6 · see citing works
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Adenan, M. A. B., Bakar, L. J. A., & Yaakub, S. (2025) · Foresight-Russia · doi:10.17323/fstig.2025.24864 · Cited by 6 · see citing works
Gálvez, A. I., Afonso, F., & Martínez-Heredia, J. M. (2025) · Remote Sensing · doi:10.3390/rs17132253 · Cited by 6 · see citing works
Haller, A. P., Dragolea, L.-L., & Brumă, I. S. (2025) · Agricultural and Food Economics · doi:10.1186/s40100-025-00416-z · Cited by 5 · see citing works
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Angelaki, E., Garefalakis, A. E., Sitzimis, I., Rompogiannakis, I., & Passas, I. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-2327-5.ch005 · Cited by 5 · see citing works
Self-citationCorporate Web Positioning as a Strategic Communication Tool in Agriculture
Ruban, D. A., & Yashalova, N. N. (2022) · Agriculture · doi:10.3390/agriculture12081101 · Cited by 5 · see citing works
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Apeināns, I., Sondors, M., Litavniece, L., Kodors, S., Zarembo, I., & Feldmane, D. (2024) · Environment Technology Resources Proceedings of the International Scientific and Practical Conference · doi:10.17770/etr2024vol2.8013 · Cited by 5 · see citing works
As’ari, E., Zainuri, A., Yuniar, & Amma, T. (2024) · JURNAL IQRA · doi:10.25217/ji.v9i2.4353 · Cited by 5 · see citing works
Doukas, Y. E., Salvati, L., & Petidis, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-31596-1.00019-2 · Cited by 4 · see citing works
The future of the agri-food sector and agribusiness
Vargas-Canales, J. M., Torres, Y. S., Estrada, S., Orozco-Cirilo, S., Valdés-Cobos, A., Rabiela, R. D. G., & Ayanegui-Méndez, S. R. (2025) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2025.102521 · Cited by 4 · see citing works
Economic Impact of Optical Sensors and Deep Learning in Smart Agriculture: A Scientometric Analysis
Marín-Rodríguez, N. J., González-Ruíz, J. D., & Botero-Botero, S. (2025) · AgriEngineering · doi:10.3390/agriengineering7120397 · Cited by 4 · see citing works
Fragomeli, R., Punzo, G., & Annunziata, A. (2026) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2026.148316 · Cited by 4 · see citing works
Mulyono, A. E., Apnitami, P., Wangi, I. S., Wicaksono, K. N. P., & Apriono, C. (2022) · Green Intelligent Systems and Applications · doi:10.53623/gisa.v2i2.95 · Cited by 4 · see citing works
Mabe, K., & Bwalya, K. J. (2022) · South African Journal of Libraries and Information Science · doi:10.7553/88-1-2133 · Cited by 4 · see citing works
Bešić, C., Ćoćkalo, D., Bakator, M., Stanisavljev, S., & Bogetić, S. (2024) · Ekonomika poljoprivrede · doi:10.59267/ekopolj2403803b · Cited by 4 · see citing works
Prospects of UAVs in Agricultural Mapping
Escandón-Panchana, P., Herrera-Franco, G., Cuevas, S. M., & Morante-Carballo, F. (2023) · Communications in computer and information science · doi:10.1007/978-3-031-46813-1_21 · Cited by 4 · see citing works
Shennan‐Farpón, Y., Soterroni, A. C., Scarabello, M., & Visconti, P. (2024) · Environmental Research Letters · doi:10.1088/1748-9326/ad5ab2 · Cited by 4 · see citing works
Czubak, W., & Zmyślona, J. (2024) · Energies · doi:10.3390/en17184713 · Cited by 3 · see citing works
Chopra, I., Bindal, A. K., & Gupta, Z. (2024) · Advances in information security, privacy, and ethics book series · doi:10.4018/979-8-3693-7421-4.ch016 · Cited by 3 · see citing works
Evolução da agricultura de precisão: uma revisão
Garcia, F., de Araújo, M. D. S. B., Leite, A. C. D. S., Garcia, R. C., & Galvíncio, J. D. (2024) · Revista Brasileira de Geografia Física · doi:10.26848/rbgf.v17.6.p4761-4812 · Cited by 3 · see citing works
Wanat, L., Sikora, J., Majchrzak, L., Sarniak, Ł., Czarnecki, R., Smętkiewicz, K., & Ornoch, M. (2025) · Agriculture · doi:10.3390/agriculture15040412 · Cited by 3 · see citing works
The Synergy Potential of Energy and Agriculture—The Main Directions of Development
Švažas, M., & Navickas, V. (2025) · Energies · doi:10.3390/en18051031 · Cited by 3 · see citing works
AGRICULTURE 5.0 POTENTIAL AND THE APPLICATION OF ADVANCED TECHNOLOGIES IN SERBIA
Bešić, C., Ćoćaklo, D., Bakator, M., Vidas-Bubanja, M. M., & Stanisavljev, S. (2025) · Ekonomika poljoprivrede · doi:10.59267/ekopolj2502599b · Cited by 3 · see citing works
Dutta, S., Bhattacharya, S., Sadhukhan, R., Sengupta, S., Chatterjee, R., Choudhury, M. R., & Das, S. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4619159 · Cited by 3 · see citing works
Agri-tech evolution: harnessing digital pathways for sustainable agri-food systems
Das, S., Dutta, S., Bhattacharya, S., Sadhukhan, R., Chatterjee, R., & Choudhury, M. R. (2025) · Technology in Agronomy · doi:10.48130/tia-0025-0003 · Cited by 2 · see citing works
Recent Advances in the Digital Twin System for Smart Farming: A Five-Year Review
Xie, Q., Zhong, Y., Ariannejad, M., Budi, S. T. D., Zeyu, C., & Shuyi, C. (2024) · International Conference on Computing Innovation, Intelligence, Technologies and Education (CIITE) · doi:10.1109/ciite62244.2024.10987837 · Cited by 2 · see citing works
Sustainable Green Energy for Enhanced Agricultural Productivity
Suvana, S., & Singh, V. K. (2025) · Springer eBooks · doi:10.1007/978-3-031-88396-5_11 · Cited by 2 · see citing works
Potato-Free: Eliminating Model Training for Disease Detection and Localization in Potato Tubers
Gkountakos, K., Pasios, S., Ioannidis, K., Demestichas, K. P., Vrochidis, S., & Kompatsiaris, I. Y. (2026) · Agriculture · doi:10.3390/agriculture16131408 · Cited by 2 · see citing works
Jing, L., Chang, Y.-P., & Kaliyaperumal, K. (2023) · Energy Exploration & Exploitation · doi:10.1177/01445987231177472 · Cited by 2 · see citing works
Basak, S., Saha, S., Halder, A., Hati, A. J., Banerjee, B., & Krishnamurthy, V. (2023) · Lecture notes in networks and systems · doi:10.1007/978-981-99-1699-3_11 · Cited by 2 · see citing works
AI-Driven Crop Monitoring and Management for Sustainable Agriculture
Ghosh, P., Markad, A., & Maharana, C. (2025) · Springer eBooks · doi:10.1007/978-981-96-4795-8_3 · Cited by 1 · see citing works
The Relation Between the Agricultural Sector and the Energy Transformation
Švažas, M. (2025) · SpringerBriefs in economics · doi:10.1007/978-3-032-02987-4_4 · Cited by 1 · see citing works
Costa, D. P., da Cruz, C. G., Silva, R. F. S. E., Visôtto, L. E., Gómez, J. E., Giraldo-Jaramillo, M., & Fernandes, F. L. (2026) · Pest Management Science · doi:10.1002/ps.70677 · Cited by 1 · see citing works
Youth-Driven Agri-Entrepreneurship in Kerala
Mohan, D. (2025) · Advances in environmental engineering and green technologies book series · doi:10.4018/979-8-3693-9964-4.ch015 · Cited by 1 · see citing works
Value creation in business: current trends and future perspectives of economic research
Cejpek, T., Mrázová, P., Chytilová, E., & Ruschak, M. (2025) · Journal of Entrepreneurship and Sustainability Issues · doi:10.9770/d8582284867 · Cited by 1 · see citing works
Roque, A. F. (2026) · Research on World Agricultural Economy · doi:10.36956/rwae.v7i1.2502 · Cited by 1 · see citing works
Smart Farming and Digital Competence on Farmer Performance through Innovative Work Behavior
Putri, M. P., Hadiwijaya, H., & Aprizal, Y. (2026) · Annals of Human Resource Management Research · doi:10.35912/ahrmr.v6.n3.p475-492.2026 · Cited by 1 · see citing works
Ipate, G., Cotici, C. D., Ionescu, A.-D., Fătu, V., Găgeanu, I., Cujbescu, D., & Nicolau, A.-M. (2023) · INMATEH Agricultural Engineering · doi:10.35633/inmateh-71-48 · Cited by 1 · see citing works
ANALYSIS OF THE POTENTIAL OF PLANT RESIDUES AS A SOURCE OF HEAT IN HOTBEDS ON A FARM
Neugebauer, M., & Gołaszewski, J. (2024) · RURAL DEVELOPMENT 2019 · doi:10.15544/rd.2023.048 · Cited by 1 · see citing works
- Authors
- Ragazou, K., Garefalakis, A., Zafeiriou, E., & Passas, I.
- Affiliations
- Hellenic Mediterranean University (GR)
- Democritus University of Thrace (GR)
- Corresponding author
- Garefalakis, Alexandros
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2022-04-24
- Volume
- 15
- Issue
- 9
- Pages
- 3113
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W4224313986
- Cited by
- 125
- References
- 53
- Citations by year
- 2026: 20 · 2025: 34 · 2024: 44 · 2023: 19 · 2022: 8
- FWCI
- 14.46
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Energies (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (acceptedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, Agriculture Analysis
- Social Sciences › Business, Management and Accounting › Strategy and Management › Digitalization and Economic Development in Agriculture
- Keywords
- Agriculture 5.0, energy efficiency in agriculture, smart farm, cost reduction, farm sustainability, farmer welfare, Internet of Things, renewable energy, remote sensing, artificial intelligence in agriculture, anaerobic digestion, wireless sensor networks, agricultural robotics, emission control
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