This review explores how Artificial Intelligence (AI) can revolutionize sustainable agriculture in Nigeria by employing advanced analytical methods. The methodology involved a systematic approach, including thorough searches across academic databases, journals, and conference proceedings to gather relevant literature on AI applications in sustainable agriculture in Nigeria. The selection criteria prioritized recent publications, credibility of sources, and in-depth analysis of AI technologies in the agricultural sector. Key findings from the synthesized data highlight the transformative potential of AI in optimizing resource management, improving crop yields, and addressing challenges related to climate change and limited infrastructure. The review underscores the importance of sustainable practices in driving agricultural development in Nigeria and emphasizes the need for affordable and centralized AI models to guide future research and strategies tailored to Nigeria's unique agricultural landscape.

Abdul Hussein, A.H., Jabbar, K.A., Mohammed, A., and Al-Jawahry, H.M. (2024). AI and IoT in Farming: A Sustainable Approach. E3S Web of Conferences. Abdullahi, H.S., and Sheriff, R.E. (2017). Case Study to Investigate the Adoption of Precision Agriculture in Nigeria Using Simple Analysis to Determine Variability on a Maize Plantation. Adekunle, I.O. (2013). Precision Agriculture: Applicability and Opportunities for Nigerian Agriculture. Aggarwal, S., Bansal, S., andGoel, R. (2024). AI in Agriculture: A looming Challenge, A Gleaming Opportunity. International Journal of Engineering Science and Humanities. Anbarasan, M.V. (2022). Artificial Intelligence in Agriculture and its Application. Ani, O.A., Chukwuma, K., Okoro, G.O., and Oyiga, A. (2019). Applications of Mechatronics and Autonomous Systems in Smart Agriculture: Potentials and Challenges for Nigeria. Armstrong, L.J., Gandhi, N., Taechatanasat, P., andDiepeveen, D. (2020). Advances in artificial intelligence (AI) for more effective decision making in agriculture. Babatunde, I. (2013). Role of Information and Communication Technology in Sustainable Agriculture in Nigeria. Bakhtadze, N.N., Maximov, E.M., Maximova, N., and Kozlovskaya, L.N. (2021). Predictive Models for Agricultural Management. International Journal of Environmental Science and Development. Bamigboye, F.O., and Ademola, E.O. (2016). Internet of Things (Iot): It’s Application for Sustainable Agricultural Productivity In Nigeria. Chimakurthi, V.N. (2019). Implementation of Artificial Intelligence Policy in the Field of Livestock and Dairy Farm. American Journal of Trade and Policy. Daraojimba, D.O., Adewusi, A.O., Asuzu, O.F., Olorunsogo, T., Iwuanyanwu, C., and Adaga, E. (2024). AI in precision agriculture: A review of technologies for sustainable farming practices. World Journal of Advanced Research and Reviews. Dawn, N., Ghosh, T., Ghosh, S., Saha, A., Mukherjee, P., Sarkar, S., Guha, S., andSanyal, T. (2023). Implementation of Artificial Intelligence, Machine Learning, and Internet of Things (IoT) in revolutionizing Agriculture: A review on recent trends and challenges. International Journal of Experimental Research and Review. Dayo, F.B. (2008). Clean Energy Investment in Nigeria The domestic context. Dinebari, A., Gaage, F., Tosin, A.O., Nwaigwu, F.F., and Yiinu, N. (2017). Spatial Data Infrastructure for Sustainable Developing in Nigeria. Ehikhamenor, F.A., Bamitale, A.A., and Owens-Ibie, O. (2014). Demand and support for enterprise applications integration in Nigeria. Information Development, 30, 80 - 94. Eli-Chukwu, N.C. (2019). Applications of Artificial Intelligence in Agriculture: A Review. Engineering, Technology and Applied Science Research. Elijah, O., Orikumhi, I., Rahman, T.A., Babale, S.A., and Orakwue, S.I. (2017). Enabling smart agriculture in Nigeria: Application of IoT and data analytics. 2017 IEEE 3rd International Conference on Electro-Technology for National Development (NIGERCON), 762-766. Enebeli, V.N., and Gilbert, S. (2022). Artificial Intelligence: Challenges and Opportunities for Arbitration in Nigeria. SSRN Electronic Journal. Eseosa, O., and S.O, O. (2014). Artificial Neural Network Based Economic Generation Scheduling in Nigeria Power Network. International Journal of Advances in Applied Sciences, 3, 206-214. Etim, N.A., Nkeme, K.K., and Ibom, A. (2015). Barriers to Increasing Agricultural Production in Nigeria. Gikunda, K. (2024). Harnessing Artificial Intelligence for Sustainable Agricultural Development in Africa: Opportunities, Challenges, and Impact. ArXiv, abs/2401.06171. Gupta, K., Senger, N., Bahl, V., and Goel, A. (2022). Agricultural Production Optimization. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. Hema, R., and Malik, N. (2011). Data Mining and Business Intelligence. Ibrahim, U. (2023). Artificial Intelligence in Agricultural Extension for Sustainable Development. International Journal of Applied and Scientific Research. Issa, F.O. (2013). Building the capacity of agricultural extension personnel for effective implementation of agricultural transformation agenda in Nigeria. The Journal of Agricultural Extension, 17, 78-88. J, Ejemeyovwi, Akhigbemidu A, Agharevba W, Arome V, Akaraiwe O, Ogunlusi T and Owuama I. (2017). Can ICT Adoption Aid Crop Production in Nigeria? (Smart-Agriculture). International Journal of English and Literature, 2, 1-9. Kehinde, K.T., and Agwu, E. (2015). Application of ICT to Agriculture as a Panacea to Unemployment in Nigeria. International Journal of Physical and Social Sciences, 5, 59-82. Khajeh Naeeni, S. (2023). Sustainability and AI: Prioritizing Environmental Considerations in Tech Advancements. AI and Tech in Behavioral and Social Sciences. Kumar, T.N., and Prakash, N. (2020). Adoption of AI in Agriculture: The Game-Changer for Indian Farmers. Proceedings of the International Conferences on ICT, Society and Human Beings (ICT 2020), Connected Smart Cities (CSC 2020) and Web Based Communities and Social Media (WBC 2020). Lohani, N. (2024). AI-based Environmental Sustainability: Transforming Conservation Efforts. International Journal for Multidisciplinary Research. Mathur, R. (2023). Artificial Intelligence in Sustainable Agriculture. International Journal for Research in Applied Science and Engineering Technology. Matthew, Oluwatoyin and FolasadeBosedeAdegboye. (2010). The Agricultural Sector and Economic Development: The Nigerian Experience. Milović, B., andRadojević, V. (2015). Application of data mining in agriculture. Bulgarian Journal of Agricultural Science, 21, 26-34. Nishant, R., Kennedy, M., and Corbett, J. (2020). Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda. Int. J. Inf. Manag., 53, 102104. Odirichukwu, J.C., Odirichukwu, S.P., Okolie, S.A., Njoku, O.A., Dimoji, C., Ndigwe, C., Ekuma, G.O., Onuoha, G., Igwe, F.A., Chika-Ugada, P.K., and Ewunonu, T.C. (2024). Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal. Journal of IoT and Machine Learning. Ogbuoshi, C.L. (2021). Adopting Artificial Intelligence in Broadcast Media in Nigeria. Ogunbameru, B.O. (2013). Capacity building for climate change adaptation: modules for agricultural extension curriculum development in Nigeria. Spanish journal of rural development, 4, 75-80. Ohunene, R., Tambo, E.R., Tsuanyo, D., Nguedia-Nguedoung, A., Rabiat, O.I., Ibrahim, O., and AxelNguedia-Nguesoung (2022). Modelling an Artificial Intelligence-Based Energy Management for Household in Nigeria. Ojeaburu, F. (2021). Environmental Accounting and Sustainability Development in Nigeria. Social Science Research Network, 2. Oladeebo, J.O., and Masuku, M.B. (2013). Effect of Farmer Education and Managerial Ability on Food Crop Production in Nigeria. Journal of economics and sustainable development, 4, 75-82. Olagunju, O.O. (2024). Harnessing Artificial Intelligence for Youth Engagement in Agriculture: Lessons from Global Practices and Prospects for Nigeria. International Journal of Advance Social Sciences and Education (IJASSE). Olajide-Taiwo, L.O., Cofie, O., Odeleye, O.M., Olajide-Taiwo, F.B., Olufunmi, Y., Adebayo, O.S., and Alabi, O.O. (2011). Effect of capacity building on production of safe and profitable leafy vegetables among farmers in Ibadan City of Nigeria. Omonona, B.T., and Sopitan, O.E. (2006). Land Management and Food Crop Production in Nigeria. Journal of New Seeds, 8, 15 - 32. Paramathma, K., Kumar, M.A., Ranjith, P., andSanthosh Reddy, C.S. (2023). Development of AI Based App for Precision Agriculture in India. 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM), 1-5. Patel, H.M. (2023). The Transformative Role of Artificial Intelligence in Modern Agriculture. Review of Artificial Intelligence in Education. Pooja, M., Gandhi, B., andParejiya, D.A. (2023). The Power of AIIn Addressing The Challenges Faced By Indian Farmers In The Agriculture Sector: An Analysis. TuijinJishu/Journal of Propulsion Technology. Rani, P. (2021). A Deep Learner Based Smart Precision Agriculture System Using Machine Learning. Rasak, ABamidele, G. (2018). Discourse and Narrative of The Nigerian Economy: From the Agricultural Policies Perspective. Rautela, K., Kumawat, K., Rahman, F., and Patidar, H.O. (2020). Artificial Intelligence in Environmental Monitoring and Conservation. International Journal of Psychosocial Rehabilitation. Ravisha, R., and Sinha, N. (2023). Predictive Model for Smart Agriculture Using Machine Learning. Journal of Mountain Research. Rehan, A., Yadav, R., Hosur, R., Vidhiya, R., Nagaral, M.U., Kulkarni, G., and Das, P. (2023). The Implication of Artificial Intelligence (AI) in Animal Husbandry. International Journal of Zoological Investigations. Saidu, T., and Tafa, S.A. (2016). Towards Fixing the Broken Value Chain of Agricultural Productivity in Nigeria. Imperial journal of interdisciplinary research, 2. Sharma, B., Singhvi, R., Chauhan, P., andNaik, N. (2024). A Study to Know the Role of AI and Sustainability in Agriculture. Interantional Journal of Scientific Research In Engineering And Management. Shehu, B., Rekwot, P.I., Kezi, D., Bidoli, T., andOyedokun, A.V. (2011). Challenges to Farmers' Participation In Artificial Insemination (AI) Biotechnology In Nigeria: An Overview. The Journal of Agricultural Extension, 14. Shuaibu, N.S., Obunadike, G.N., and Jamilu, B.A. (2024). Crop Yield Prediction Using Selected Machine Learning Algorithms. Fudma Journal of Sciences. Singla, Dr. Sonia. (2021). The Empirical Analysis of Agricultural Sector and Its Contribution to Economic Growth in Nigeria. Strang, K.D., Vajjhala, N.R., and Bitrus, N.S. (2019). Examining e-Adoption of Agricultural Systems by Farmers in Central Nigeria. Int. J. E Adopt., 11, 31-40. Ubochioma, J., and Agu, P.A. (2018). Perceived Competencies of Agricultural Extension and Advisory Services Providers in Building Rural Farmer Capability in Imo State Nigeria. Umar, M.A., Sani, B.M., and Suleiman, U. (2022). An Overview of Machine and Deep Learning Technologies Application in Agriculture: Opportunities and Challenges in Nigeria. SLU Journal of Science and Technology. Uwaoma, P.U., Eleogu, T.F., Okonkwo, F., Farayola, O.A., Kaggwa, S., and Akinoso, A.E. (2024). AI’s Role in Sustainable Business Practices and Environmental Management. International Journal of Research and Scientific Innovation. Vocaturo, E., Rani, G., Dhaka, V.S., andZumpano, E. (2023). AI-Driven Agriculture: Opportunities and Challenges. 2023 IEEE International Conference on Big Data (BigData), 3530-3537. Waidor, T.K. (2019). A Data Mining Framework for Improving Agricultural Production in Nigeria. Wihartiko, F.D., Nurdiati, S., Buono, A., and Santosa, E. (2021). Agricultural Price Prediction Models: A Systematic Literature Review. Proceedings of the International Conference on Industrial Engineering and Operations Management. Wit, C.T., and Vries, F.P. (1985). Predictive models in agricultural production. Philosophical Transactions of the Royal Society B, 310, 309-315. Younas, O., Zeb, M., Khan, and Khan, I. (2020). Artificial Intelligence (AI) As Sustainable Solution for The Agriculture Sector: Findings from Developing Economies. Zhang, L., Guo, W., Lv, C., Guo, M., Yang, M., Fu, Q., and Liu, X. (2023). Advancements in artificial intelligence technology for improving animal welfare: Current applications and research progress. Animal Research and One Health.