Agricultural Economics

Agricultural Economics

Application of Artificial Intelligence and Big Data in Designing Sustainable Agriculture Educational Programs

Document Type : Research Paper

Author
Assistant Professor, Faculty of Agricultural Extension and Education, University of Applied Science and Technology, Tehran, Iran.
10.22034/iaes.2025.2053562.2110
Abstract
Artificial intelligence (AI) and big data are key tools in developing educational programs for sustainable agriculture, addressing environmental challenges and enhancing agricultural productivity. This research examines how AI and big data can improve educational strategies focused on sustainability in agriculture.

Utilizing a descriptive and survey-based approach, data was collected through a standardized questionnaire employing a five-point Likert scale. The study's population consisted of 384 farmers and agricultural exporters in Tehran Province, selected via simple random sampling and determined using Cochran’s formula. Descriptive and inferential statistical methods were applied to analyze the data, assessing the relationship between the application of AI and big data and the effectiveness of agricultural education in promoting sustainable practices.

Findings revealed that sustainable agricultural education positively impacts agricultural sustainability. The integration of AI and big data into educational programs significantly enhances the effectiveness of sustainable agricultural education and improves farming practices. However, the study also identified various challenges and barriers that hinder the implementation of these technologies, negatively affecting both agricultural education and sustainability efforts.

To address these issues, the research suggests that strengthening agricultural education can amplify the benefits of AI and big data while reducing the impact of existing obstacles. By enhancing educational processes and tackling challenges, the long-term sustainability of agriculture can be achieved. Ultimately, the study underscores the importance of integrating innovative technologies into educational frameworks to foster a more sustainable agricultural future.
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Ali, G., Mijwil, M. M., Buruga, B. A., Abotaleb, M., & Adamopoulos, I. (2024). A survey on artificial intelligence in cybersecurity for smart agriculture: State-of-the-art, cyber threats, artificial intelligence applications, and ethical concerns. Mesopotamian Journal of Computer Science, 2024, 53-103.
Ali, Z. A., Zain, M., Pathan, M. S., & Mooney, P. (2024). Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan. Environment, Development and Sustainability, 26(8), 19131-19175.
Attri, I., Awasthi, L. K., & Sharma, T. P. (2024). Machine learning in agriculture: a review of crop management applications. Multimedia Tools and Applications, 83(5), 12875-12915.
Delbaz, Ebrahimi, & Hamed. (2024). A review of the application of data science and machine learning in agricultural water management. Water and Sustainable Development, 11(2), 39-56. (In Farsi)
Esmaeily, R., Razavi, M. A., & Razavi, S. H. (2024). A step forward in food science, technology and industry using artificial intelligence. Trends in Food Science & Technology, 143, 104286.
Fazl Oli, Ramin, Sarraf, Shadi, Vejahat, & Emadi. (2024). Application of artificial intelligence-based methods in estimating water use efficiency (Case study: Sari City). Water and Sustainable Development. (In Farsi)
Fountas, S., Espejo-García, B., Kasimati, A., Gemtou, M., Panoutsopoulos, H., & Anastasiou, E. (2024). Agriculture 5.0: Cutting-edge technologies, trends, and challenges. IT Professional, 26(1), 40-47.
Fuentes-Peñailillo, F., Gutter, K., Vega, R., & Silva, G. C. (2024). Transformative technologies in digital agriculture: Leveraging Internet of Things, remote sensing, and artificial intelligence for smart crop management. Journal of Sensor and Actuator Networks, 13(4), 39.
Gikunda, K. (2024). Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact. arXiv preprint arXiv:2401.06171.
Gryshova, I., Balian, A., Antonik, I., Miniailo, V., Nehodenko, V., & Nyzhnychenko, Y. (2024). Artificial intelligence in climate smart in agricultural: toward a sustainable farming future. Access to science, business, innovation in the digital economy, ACCESS Press, 5(1), 125-140.
Gupta, N., & Gupta, P. K. (2024). Robotics and Artificial Intelligence (AI) in Agriculture with Major Emphasis on Food Crops. Digital Agriculture: A Solution for Sustainable Food and Nutritional Security, 577-605.
Hakimi Khansar, Heydari, Abbas, Rashidi, & Bagheri. (2024). Using artificial intelligence models to predict daily air temperature in Rasht. Agricultural Meteorology, 12(1), 5-19. (In Farsi)
Hamed, M. A., El-Habib, M. F., Sababa, R. Z., Al-Hanjor, M. M., Abunasser, B. S., & Abu-Naser, S. S. (2024). Artificial Intelligence in Agriculture: Enhancing Productivity and Sustainability.
Hashemi Ghandali, & Farkhondeh. (2024). Optimal use of groundwater aquifers using the FNN-LM artificial intelligence model (Case study: Khuzestan Plain). Quarterly Journal of Sustainable Urban and Regional Development Studies. (In Farsi)
Hashemi, A., Alaf Jafari, & Roosta. (2024). Factors influencing the adoption of artificial intelligence in saffron product sales. Intelligent Marketing Management, 5(3), 135-155. (In Farsi)
Hernandez, D., Pasha, L., Yusuf, D. A., Nurfaizi, R., & Julianingsih, D. (2024). The role of artificial intelligence in sustainable agriculture and waste management: Towards a green future. International Transactions on Artificial Intelligence, 2(2), 150-157.
Jafar, A., Bibi, N., Naqvi, R. A., Sadeghi-Niaraki, A., & Jeong, D. (2024). Revolutionizing agriculture with artificial intelligence: plant disease detection methods, applications, and their limitations. Frontiers in Plant Science, 15, 1356260.
Kamali, Saki, Ahmad, Moghadam, Dibvand Hafshejani, & Laleh. (2024). Prediction of weighted entropy water quality index for agricultural purposes using simple and hybrid artificial intelligence methods. Advanced Technologies in Water Productivity, 4(2), 59-76. (In Farsi)
Kashyap, G. S., Kamani, P., Kanojia, M., Wazir, S., Malik, K., Sehgal, V. K., & Dhakar, R. (2024). Revolutionizing Agriculture: A Comprehensive Review of Artificial Intelligence Techniques in Farming.
Kisten, M., Ezugwu, A. E., & Olusanya, M. S. (2024). Explainable Artificial Intelligence Model for Predictive Maintenance in Smart Agricultural Facilities. IEEE Access.
Kotte, B., Naveen, A., Lingireddy, H., Gowtham, K. V., Mudhale, A., & Abhishek, E. (2024). Artificial intelligence (AI) and its applications in agriculture: A Review. Environment Conservation Journal, 25(1), 274-288.
Laleh, Azizi, Neda, Kefili, & Mahsan. (2024). Spectral-artificial intelligence analysis model with spatial variables in estimating some soil chemical properties. Water and Soil Modeling and Management, 4(3), 321-338. (In Farsi)
Mohammadi, Haji Rad, Iman, Ahmadali, & Khaled. (2024). Artificial intelligence and reducing the effects of climate change: Applications and challenges. Water Management in Agriculture. (In Farsi)
Nath, P. C., Mishra, A. K., Sharma, R., Bhunia, B., Mishra, B., Tiwari, A., ... & Sridhar, K. (2024). Recent advances in artificial intelligence towards the sustainable future of agri-food industry. Food Chemistry, 138945.
Nautiyal, C. T., Nautiyal, P., Papnai, G., Mittal, H., Agrawal, K., & Nandini, R. (2024). Importance of Smart Agriculture and Use of Artificial Intelligence in Shaping the Future of Agriculture. Journal of Scientific Research and Reports, 30(3), 129-138.
Pachiappan, K., Anitha, K., Pitchai, R., Sangeetha, S., Satyanarayana, T. V. V., & Boopathi, S. (2024). Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing. In Handbook of Research on AI and ML for Intelligent Machines and Systems (pp. 374-399). IGI Global.
Raman, R. K., Kumar, A., Sarkar, S., Yadav, A. K., Mukherjee, A., Meena, R. S., ... & Kumar11, V. (2024). Reconnoitering precision agriculture and resource management: A comprehensive review from an extension standpoint on artificial intelligence and machine learning. Indian Research Journal of Extension Education, 24(1), 108-123.
Rather, M. A., Ahmad, I., Shah, A., Hajam, Y. A., Amin, A., Khursheed, S., ... & Rasool, S. (2024). Exploring opportunities of Artificial Intelligence in aquaculture to meet increasing food demand. Food Chemistry: X, 101309.
SaberiKamarposhti, M., Why, N. K., Yadollahi, M., Kamyab, H., Cheng, J., & Khorami, M. (2024). Cultivating a sustainable future in the artificial intelligence era: A comprehensive assessment of greenhouse gas emissions and removals in agriculture. Environmental Research, 118528.
Sadidi, Tam Nia, & Rezaeian. (2024). Evaluation of artificial intelligence use in completing volunteered geographic data: A case study of OSM land use data. Scientific Journals System, 11(1), 0-0. (In Farsi)
Salehi, F. (2024). The role of artificial intelligence in revolutionizing the agriculture industry in Canada. Asian Journal of Research and Review in Agriculture, 70-78.
Sani Heydari, Safari, & Ahram. (2024). Examining the factors affecting behavioral intention and the use of artificial intelligence technology: A case study of Razavi Agricultural Industry. Agricultural Economics and Development. (In Farsi)
Senoo, E. E. K., Anggraini, L., Kumi, J. A., Luna, B. K., Akansah, E., Sulyman, H. A., ... & Aritsugi, M. (2024). IoT solutions with artificial intelligence technologies for precision agriculture: Definitions, applications, challenges, and opportunities. Electronics, 13(10), 1894.
Shams, M. Y., Gamel, S. A., & Talaat, F. M. (2024). Enhancing crop recommendation systems with explainable artificial intelligence: a study on agricultural decision-making. Neural Computing and Applications, 36(11), 5695-5714.
Sood, A., Bhardwaj, A. K., & Sharma, R. K. (2024). Towards sustainable agriculture: key determinants of adopting artificial intelligence in agriculture. Journal of Decision Systems, 33(4), 833-877.
Sorboni, S. G. A review of the concepts and applications of artificial intelligence for advancing and enhancing agriculture.
Taheri Haji Vand, Adel, Shirini, Kimia, Samadi Ghareh Varn, & Sina. (2024). A review of crop yield prediction using artificial intelligence algorithms. Agricultural Mechanization, 9(3), 1-14. (In Farsi)
Torabi, Rajabi Farjad, & Hajieh. (2024). A model of sustainability indicators in eco-cities using the ChatGPT smart engine approach. Urban Ecology Research Quarterly. (In Farsi)
Tosan, Moein, Khashaei Sivaki, Abbas, Marousi, & Gharib. (2024). A review of smart water management in establishing sustainable agriculture based on the Internet of Things. Water Management in Agriculture, 11(1), 145-166. (In Farsi)
Uddin, M., Chowdhury, A., & Kabir, M. A. (2024). Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture. AI & SOCIETY, 39(1), 221-234.
Vasileiou, M., Kyrgiakos, L. S., Kleisiari, C., Kleftodimos, G., Vlontzos, G., Belhouchette, H., & Pardalos, P. M. (2024). Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep learning. Crop Protection, 176, 106522.
Yang, T., Mei, Y., Xu, L., Yu, H., & Chen, Y. (2024). Application of question answering systems for intelligent agriculture production and sustainable management: A review. Resources, Conservation and Recycling, 204, 107497.