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Yapay Zekanın Tarımsal Girişimciliği Geliştirmedeki Kullanım Çabalarının Değerlendirilmesi: Tunus Örneği

Year 2025, Volume: 29 Issue: 4, 732 - 753, 19.12.2025
https://doi.org/10.53487/atasobed.1734836

Abstract

Yapay zeka, tarım sektörünün karşılaştığı sorunları ve zorlukları ele almayı amaçlamayan tarımsal girişimcilik alanında önemli bir öneme sahiptir. Bu amacı gerçekleştirmek için, yapay zeka teknolojilerinin çeşitli geleneksel tarım uygulamalarına entegre edilmesi, tarım teknolojisi sektöründe girişimlerin kurulması ve girişimcilerin yapay zeka tekniklerini kullanabilmelerine olanak sağlanması gerekliliği doğmuştur. Bu araştırma makalesi, Tunus'ta tarımsal girişimciliği geliştirmek için yapay zekanın kullanımına yönelik temel çabaları belirlemeyi ve bu çabaları Tunus’taki iş ortamını analiz ederek değerlendirmeyi, aynı zamanda tarımsal girişimciliği teşvik etmedeki rolünü açıklamayı
amaçlamaktadır. Bu amaçla, tarım sektörünü güçlendirmek için benimsenen en önemli stratejiler ele alınacak ve Tunus’taki öncü girişim modelleri incelenecektir. Ayrıca, bu alandaki bazı uluslararası deneylerle kısa bir karşılaştırma yapmanın yanı sıra, çalışma ulusal raporlara, resmi kurumlar tarafından yayınlanan istatistiksel verilere ve tarımsal girişim kuruluşlarıyla ilgili dijital kaynaklara dayanan bir vaka çalışması yöntemine dayanmaktadır. Sonuç olarak, yapay zeka kullanımının tarımsal operasyonların yönetimine katkıda bulunduğu ve tarımsal yenilikleri teşvik ettiği, böylece Tunus'ta tarımsal girişimciliği destekleme eğilimini yansıttığı tespit edilmiştir.

References

  • Annys, R., Emma, H., Fuentes, P. N., & Sulamaan, R. (2022). Government AI readiness index 2022. Oxford Insights. https://oxfordinsights.com/wp-content/uploads/2023/11/Government_AI_Readiness_2022_FV.pdf
  • Agence de Promotion des Investissements Agricoles. (2022). APIA news – Mai 2022. https://www.apia.com.tn/medias/files/News/APIANews-MAI-2022.pdf
  • Awais, A., Tajamul, H., Tantashutikun, N., Hussain, N., & Giacomo, C. (2023). Application of smart techniques, Internet of Things and data mining for resource use efficient and sustainable crop production. Agriculture, 13(2), 10. https://doi.org/10.3390/agriculture13020397
  • Brodziński, Z. (2019). Entrepreneurship of agricultural producers – determinants of development. Annals of the Polish Association of Agricultural and Agribusiness Economists, 3, 22. https://doi.org/10.5604/01.3001.0013.3544
  • Babar Malook, M., Moeen, M., Noureen, A., Majid, A., Barua, Sh., Riaz, M., Ahmad, Sh., Abubakar, M., Shahidul, I., Jamwal, S., Hussain Mir, M., & Rayees Khan, Q. (2023). Artificial intelligence in agriculture for application of pesticides and herbicides. NeuroQuantology, 21(6), 1295. https://doi.org/10.48047/nq.2023.21.6.NQ23132
  • Cheng, Ch., Gao, Q., Juc, K., & Ma, Y. (2024). How digital skills affect farmers’ agricultural entrepreneurship? An explanation from factor availability. Journal of Innovation & Knowledge, 9(2), 2.
  • Djemali, M., Bouchoucha, K., & Ngara, W. (2022). The effect of months of the year, recorded by a smart bee device, on the temperature and relative humidity of beehives and broods. International Journal of Innovative Approaches in Agricultural Research, 6(3), 233.
  • Davidsson, P., & Sufyan, M. (2023). What does AI think of AI as an external enabler (EE) of entrepreneurship? An assessment through and of the EE framework. Journal of Business Venturing Insights, 20(3), 2. https://doi.org/10.1016/j.jbvi.2023.e00413
  • Emma, H., Fuentes, P. N., Livia, M., Gonzalo, G., & Sulamaan, R. (2023). Government AI readiness index 2023. Oxford Insights. https://oxfordinsights.com/wp-content/uploads/2023/12/2023-Government-AI-Readiness-Index-2.pdf
  • Ezzayra Startup. (2024). Qui sommes-nous ? https://ezzayra.com/
  • Hill, S., Ionescu-Somers, A., Coduras Martínez, A., Guerrero, M., Menipaz, E., Boutaleb, F., & Shay, J. (2023). Global entrepreneurship monitor 2022/2023 global report: Adapting to a “new normal”. London Business School. https://www.gemconsortium.org/report/20222023-global-entrepreneurship-monitor-global-report-adapting-to-a-new-normal-2
  • IRIS Technologies Startup. (2024). SmartBeePro & Beekeeper.Tech: The ultimate smart solutions for your apiary. https://www.smartbeekeeper.com/
  • Javaid, M., Haleem, A., Haleem Khan, I., & Suman, R. (2023). Understanding the potential applications of artificial intelligence in agriculture sector. Advanced Agrochem, 2(1), 17.
  • Kahan, D. (2012). Entrepreneurship in farming. Food and Agriculture Organization of the United Nations. https://www.fao.org/uploads/media/5-EntrepreneurshipInternLores.pdf
  • Kangogo, D., Dentoni, D., & Bijman, J. (2021). Adoption of climate-smart agriculture among smallholder farmers: Does farmer entrepreneurship matter? Land Use Policy, 109, 3. https://doi.org/10.1016/j.landusepol.2021.105666
  • Kipkorir Songol, M., Mzee Awuor, F., & Maake, B. (2021). Adoption of artificial intelligence in agriculture in the developing nations: A review. Journal of Language, Technology & Entrepreneurship in Africa (JOLTE), 12(2), 13.
  • McCarthy, J. (2007). What is artificial intelligence? Stanford University. https://www-formal.stanford.edu/jmc/whatisai.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2022). Annual program for the performance of the agriculture, water resources, and fisheries mission for the year 2023 [Translated]. Republic of Tunisia. http://www.gbo.agrinet.tn/ar/docs/PAP_2023.pdf
  • Ministry of Economy and Planning. (2022). Guiding document Tunisia 2035, preliminary version [Translated]. Republic of Tunisia. https://www.mdici.gov.tn/wp-content/uploads/2022/07/version_pr%C3%A9liminaire _vision2035_juillet_2022.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2023). Annual project for the performance of the agriculture, water resources, and fisheries mission for the year 2024 [Translated]. Republic of Tunisia. http://www.onagri.tn/uploads/PAP/PAP_Agr_2024_V_FINAL.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2024a). Annual report on the performance of the agriculture, water resources, and fisheries mission for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.nat.tn/uploads/enquetes/rapports/RAP_MARHP_2023.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2024b). Annual report on the activities of the Ministry of Agriculture, Water Resources, and Fisheries for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.nat.tn/uploads/rap-agri-23082024VD-.pdf
  • Maslej, N., Fattorini, L., Perrault, R., Parli, V., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, J. C., Shoham, Y., Wald, R., & Clark, J. (2024). Artificial Intelligence Index Report 2024. Stanford Institute for Human-Centered Artificial Intelligence. https://hai.stanford.edu/ai-index/2024-ai-index-report
  • Organization for Economic Co-operation and Development. (2021). Artificial intelligence, machine learning and big data in finance: Opportunities, challenges and implications for policy makers. https://www.oecd.org/en/publications/artificial-intelligence-machine-learning-and-big-data-in-finance_98e761e7-en.html
  • Observatoire National de l’Agriculture. (2024). Annual report on the activities of the National Observatory of Agriculture for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.tn/uploads/Rapport-d-activite-de-ONAGRI2023(version-definitive).pdf
  • O’Keeffe, G. (2024). The impact of AI on agriculture in Kenya and Nigeria. The Borgen Project. https://borgenproject.org/impact-of-ai-on-agriculture/
  • Palos-Sánchez, P., Baena-Luna, P., Badicu, A., & Infante-Moro, J. (2022). Artificial intelligence and human resources management: A bibliometric analysis. Applied Artificial Intelligence: An International Journal, 36(1), 4. https://doi.org/10.1080/08839514.2022.2145631
  • Press Information Bureau. (2024). Digital agriculture mission: Tech for transforming farmers’ lives. Ministry of Agriculture & Farmers Welfare. https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2051719
  • Ryan, M., Isakhanyan, G., & Tekinerdogan, B. (2023). An interdisciplinary approach to artificial intelligence in agriculture. NJAS: Impact in Agricultural and Life Sciences, 95(1), 2. https://doi.org/10.1080/27685241.2023.2168568
  • RoboCare Startup. (2024). We tech-care of your land: Optimize plant needs and detect stress early with our agronomic solutions using satellites, drones and IoT. https://robocare.tn/
  • Statista. (2024, September 15). Artificial intelligence worldwide. https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide
  • Shah, V., Bhakare, D., Wani, T., & Shirsath, V. (2024). Krishi Mitra: Growing smarter with AI-powered farming. Indian Journal of Computer Science and Technology, 3(1). https://doi.org/10.59256/indjcst.20240301010
  • Zlaoui, M., Dhraief, Z., Bedhiaf, S., Annabi, M., & Benyoussef, S. (2019). Engagement of policy makers in agricultural innovation in Tunisia: Stories of success and failures. FARA Research Report, 4(11), 33.
  • Zoltán, J. Á., László, S., Esteban, L., & Gábor, M. (2020). Global Entrepreneurship Index 2019. The Global Entrepreneurship and Development Institute. https://www.researchgate.net/publication/338547954_Global_Entrepreneurship_Index_2019

Evaluating the Efforts of Utilizing Artificial Intelligence to Enhance Agricultural Entrepreneurship: A Case Study of Tunisia

Year 2025, Volume: 29 Issue: 4, 732 - 753, 19.12.2025
https://doi.org/10.53487/atasobed.1734836

Abstract

Artificial intelligence holds significant importance in the field of agricultural entrepreneurship, aimed at addressing the challenges and issues facing the agricultural sector. To achieve this goal, the necessity has led to the integration of artificial intelligence technologies into various traditional agricultural practices and the establishment of startups in the agricultural technology sector, in addition to enabling entrepreneurs to utilize artificial intelligence techniques. This research paper aims to identify the key efforts in employing artificial intelligence to enhance agricultural
entrepreneurship in Tunisia and to attempt to evaluate these efforts by analyzing the business environment in the Tunisian state and clarifying its role in promoting agricultural entrepreneurship. This will be done by addressing the most important strategies adopted to strengthen the agricultural sector, along with showcasing models of pioneering startups in Tunisia. In addition, to conducting a brief comparison with some international experiments in this field, the study relied on a case study method based on national reports, statistical data issued by official bodies, and digital sources
related to agricultural startup institutions. It has been concluded that the use of artificial
intelligence assists in managing agricultural operations and also contributes to enhancing agricultural innovation, reflecting the trend towards promoting agricultural entrepreneurship in Tunisia .

References

  • Annys, R., Emma, H., Fuentes, P. N., & Sulamaan, R. (2022). Government AI readiness index 2022. Oxford Insights. https://oxfordinsights.com/wp-content/uploads/2023/11/Government_AI_Readiness_2022_FV.pdf
  • Agence de Promotion des Investissements Agricoles. (2022). APIA news – Mai 2022. https://www.apia.com.tn/medias/files/News/APIANews-MAI-2022.pdf
  • Awais, A., Tajamul, H., Tantashutikun, N., Hussain, N., & Giacomo, C. (2023). Application of smart techniques, Internet of Things and data mining for resource use efficient and sustainable crop production. Agriculture, 13(2), 10. https://doi.org/10.3390/agriculture13020397
  • Brodziński, Z. (2019). Entrepreneurship of agricultural producers – determinants of development. Annals of the Polish Association of Agricultural and Agribusiness Economists, 3, 22. https://doi.org/10.5604/01.3001.0013.3544
  • Babar Malook, M., Moeen, M., Noureen, A., Majid, A., Barua, Sh., Riaz, M., Ahmad, Sh., Abubakar, M., Shahidul, I., Jamwal, S., Hussain Mir, M., & Rayees Khan, Q. (2023). Artificial intelligence in agriculture for application of pesticides and herbicides. NeuroQuantology, 21(6), 1295. https://doi.org/10.48047/nq.2023.21.6.NQ23132
  • Cheng, Ch., Gao, Q., Juc, K., & Ma, Y. (2024). How digital skills affect farmers’ agricultural entrepreneurship? An explanation from factor availability. Journal of Innovation & Knowledge, 9(2), 2.
  • Djemali, M., Bouchoucha, K., & Ngara, W. (2022). The effect of months of the year, recorded by a smart bee device, on the temperature and relative humidity of beehives and broods. International Journal of Innovative Approaches in Agricultural Research, 6(3), 233.
  • Davidsson, P., & Sufyan, M. (2023). What does AI think of AI as an external enabler (EE) of entrepreneurship? An assessment through and of the EE framework. Journal of Business Venturing Insights, 20(3), 2. https://doi.org/10.1016/j.jbvi.2023.e00413
  • Emma, H., Fuentes, P. N., Livia, M., Gonzalo, G., & Sulamaan, R. (2023). Government AI readiness index 2023. Oxford Insights. https://oxfordinsights.com/wp-content/uploads/2023/12/2023-Government-AI-Readiness-Index-2.pdf
  • Ezzayra Startup. (2024). Qui sommes-nous ? https://ezzayra.com/
  • Hill, S., Ionescu-Somers, A., Coduras Martínez, A., Guerrero, M., Menipaz, E., Boutaleb, F., & Shay, J. (2023). Global entrepreneurship monitor 2022/2023 global report: Adapting to a “new normal”. London Business School. https://www.gemconsortium.org/report/20222023-global-entrepreneurship-monitor-global-report-adapting-to-a-new-normal-2
  • IRIS Technologies Startup. (2024). SmartBeePro & Beekeeper.Tech: The ultimate smart solutions for your apiary. https://www.smartbeekeeper.com/
  • Javaid, M., Haleem, A., Haleem Khan, I., & Suman, R. (2023). Understanding the potential applications of artificial intelligence in agriculture sector. Advanced Agrochem, 2(1), 17.
  • Kahan, D. (2012). Entrepreneurship in farming. Food and Agriculture Organization of the United Nations. https://www.fao.org/uploads/media/5-EntrepreneurshipInternLores.pdf
  • Kangogo, D., Dentoni, D., & Bijman, J. (2021). Adoption of climate-smart agriculture among smallholder farmers: Does farmer entrepreneurship matter? Land Use Policy, 109, 3. https://doi.org/10.1016/j.landusepol.2021.105666
  • Kipkorir Songol, M., Mzee Awuor, F., & Maake, B. (2021). Adoption of artificial intelligence in agriculture in the developing nations: A review. Journal of Language, Technology & Entrepreneurship in Africa (JOLTE), 12(2), 13.
  • McCarthy, J. (2007). What is artificial intelligence? Stanford University. https://www-formal.stanford.edu/jmc/whatisai.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2022). Annual program for the performance of the agriculture, water resources, and fisheries mission for the year 2023 [Translated]. Republic of Tunisia. http://www.gbo.agrinet.tn/ar/docs/PAP_2023.pdf
  • Ministry of Economy and Planning. (2022). Guiding document Tunisia 2035, preliminary version [Translated]. Republic of Tunisia. https://www.mdici.gov.tn/wp-content/uploads/2022/07/version_pr%C3%A9liminaire _vision2035_juillet_2022.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2023). Annual project for the performance of the agriculture, water resources, and fisheries mission for the year 2024 [Translated]. Republic of Tunisia. http://www.onagri.tn/uploads/PAP/PAP_Agr_2024_V_FINAL.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2024a). Annual report on the performance of the agriculture, water resources, and fisheries mission for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.nat.tn/uploads/enquetes/rapports/RAP_MARHP_2023.pdf
  • Ministry of Agriculture, Water Resources, and Fisheries. (2024b). Annual report on the activities of the Ministry of Agriculture, Water Resources, and Fisheries for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.nat.tn/uploads/rap-agri-23082024VD-.pdf
  • Maslej, N., Fattorini, L., Perrault, R., Parli, V., Reuel, A., Brynjolfsson, E., Etchemendy, J., Ligett, K., Lyons, T., Manyika, J., Niebles, J. C., Shoham, Y., Wald, R., & Clark, J. (2024). Artificial Intelligence Index Report 2024. Stanford Institute for Human-Centered Artificial Intelligence. https://hai.stanford.edu/ai-index/2024-ai-index-report
  • Organization for Economic Co-operation and Development. (2021). Artificial intelligence, machine learning and big data in finance: Opportunities, challenges and implications for policy makers. https://www.oecd.org/en/publications/artificial-intelligence-machine-learning-and-big-data-in-finance_98e761e7-en.html
  • Observatoire National de l’Agriculture. (2024). Annual report on the activities of the National Observatory of Agriculture for the year 2023 [Translated]. Republic of Tunisia. http://www.onagri.tn/uploads/Rapport-d-activite-de-ONAGRI2023(version-definitive).pdf
  • O’Keeffe, G. (2024). The impact of AI on agriculture in Kenya and Nigeria. The Borgen Project. https://borgenproject.org/impact-of-ai-on-agriculture/
  • Palos-Sánchez, P., Baena-Luna, P., Badicu, A., & Infante-Moro, J. (2022). Artificial intelligence and human resources management: A bibliometric analysis. Applied Artificial Intelligence: An International Journal, 36(1), 4. https://doi.org/10.1080/08839514.2022.2145631
  • Press Information Bureau. (2024). Digital agriculture mission: Tech for transforming farmers’ lives. Ministry of Agriculture & Farmers Welfare. https://www.pib.gov.in/PressReleaseIframePage.aspx?PRID=2051719
  • Ryan, M., Isakhanyan, G., & Tekinerdogan, B. (2023). An interdisciplinary approach to artificial intelligence in agriculture. NJAS: Impact in Agricultural and Life Sciences, 95(1), 2. https://doi.org/10.1080/27685241.2023.2168568
  • RoboCare Startup. (2024). We tech-care of your land: Optimize plant needs and detect stress early with our agronomic solutions using satellites, drones and IoT. https://robocare.tn/
  • Statista. (2024, September 15). Artificial intelligence worldwide. https://www.statista.com/outlook/tmo/artificial-intelligence/worldwide
  • Shah, V., Bhakare, D., Wani, T., & Shirsath, V. (2024). Krishi Mitra: Growing smarter with AI-powered farming. Indian Journal of Computer Science and Technology, 3(1). https://doi.org/10.59256/indjcst.20240301010
  • Zlaoui, M., Dhraief, Z., Bedhiaf, S., Annabi, M., & Benyoussef, S. (2019). Engagement of policy makers in agricultural innovation in Tunisia: Stories of success and failures. FARA Research Report, 4(11), 33.
  • Zoltán, J. Á., László, S., Esteban, L., & Gábor, M. (2020). Global Entrepreneurship Index 2019. The Global Entrepreneurship and Development Institute. https://www.researchgate.net/publication/338547954_Global_Entrepreneurship_Index_2019
There are 34 citations in total.

Details

Primary Language English
Subjects Political Economy Theory, Economic Theory (Other), Commercial Services (Other)
Journal Section Research Article
Authors

Zineb Harfouche 0009-0000-7661-7195

Adel Benattallah 0009-0005-8261-3648

Submission Date July 4, 2025
Acceptance Date October 20, 2025
Early Pub Date December 2, 2025
Publication Date December 19, 2025
Published in Issue Year 2025 Volume: 29 Issue: 4

Cite

APA Harfouche, Z., & Benattallah, A. (2025). Evaluating the Efforts of Utilizing Artificial Intelligence to Enhance Agricultural Entrepreneurship: A Case Study of Tunisia. Current Perspectives in Social Sciences, 29(4), 732-753. https://doi.org/10.53487/atasobed.1734836

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