Artificial intelligence and the future of integrated food systems
DOI:
https://doi.org/10.3329/aajbb.v11i2.89670Keywords:
artificial intelligence, agri-food systems, decision intelligence, non-destructive sensing, sustainable food systemsAbstract
Abstract not available
Asian Australas. J. Biosci. Biotechnol. 2026, 11(2), 18-21
Downloads
9
2
References
Balta I, J Lemon, CA Popescu, D McCleery, T Iancu, I Pet, G Dumitrescu, L Petculescu Ciochina, D Marcu, F Morariu, A Douglas, L Stef and N Corcionivoschi, 2026. Artificial intelligence in next-generation smart packaging for pH and spoilage monitoring in poultry products. Appl. Food Res., 6: 101804.
Ding H, Z Xie, W Yu, X Cui and DI Wilson, 2025. Artificial intelligence enhances food testing process: a comprehensive review. Food Biosci., 68: 106404.
Esmaeily R, MA Razavi and SH Razavi, 2024. A step forward in food science, technology and industry using artificial intelligence. Trends Food Sci. Technol., 143: 104286.
Gavai AK and J Heringa, 2026. Agentic artificial intelligence in food science: from automation to adaptation. Food Human., 6: 101132.
Hendrawan Y, S Widyaningtyas, MR Fauzy, S Sucipto, R Damayanti, DF Al Riza, MB Hermanto and S Sandra, 2022. Deep learning to detect and classify the purity level of Luwak coffee green beans. Pertanika J. Sci. Technol., 30: 1-18.
Houshmandi P, H Hashemi, F Ghiasi and MT Golmakani, 2026. Impacts of artificial intelligence on recent developments in modern packaging technology. J. Agric. Food Res., 25: 102524.
Huda SSM, A Akhtar, E Ahmed, KM Samiul Hoq and MN Islam, 2026. Artificial intelligence in agriculture across South Asia: technology adoption, improvements, and sustainability outcomes. Sustain. Futures, 11: 101620.
Kamran M, Z Tong, A Ullah, MHA Alvi, T Aqeel, X Chen, S Sagheer, U Umaira, B Xiao and H Xu, 2026. Integrating genomic technologies with artificial intelligence, CRISPR editing, and high-throughput phenotyping for engineering disease-resistant crops. Plant Stress, 20: 101317.
Kurdyś-Kujawska A, P Zarębski and N Chamier-Gliszczyński, 2025. Artificial intelligence in the food industry: adoption, technologies, barriers – the example of Poland. Procedia Comput. Sci., 270: 5416-5425.
Liu Q, P Zhu, H Sun, Z Chen and B Shao, 2026. Artificial intelligence-driven non-targeted screening: applications and prospects in environmental and food sciences. Trends Food Sci. Technol., 170: 105632.
Manning L, S Brewer, PJ Craigon, J Frey, A Gutierrez, N Jacobs, S Kanza, S Munday, J Sacks and S Pearson, 2022. Artificial intelligence and ethics within the food sector: developing a common language for technology adoption across the supply chain. Trends Food Sci. Technol., 125: 33-42.
Mao Y, M Zhang, CL Law and L Rui, 2026. The role of artificial intelligence in enhancing non-invasive quality monitoring in fresh food products supply chains: a comprehensive review. Food Res. Int., 232: 118927.
Naseem S and M Rizwan, 2025. The role of artificial intelligence in advancing food safety: a strategic path to zero contamination. Food Control, 175: 111292.
Reitano M, MS Segovia and RM Nayga Jr, 2025. A systematic review on the impact of artificial intelligence in the agri-food supply chain. Food Policy, 137: 102983.
Sadimantara MS, BD Argo, S Sucipto, DF Al Riza and Y Hendrawan, 2024. The classification of aflatoxin contamination level in cocoa beans using fluorescence imaging and deep learning. J. Robot. Control, 5: 82-91.
Sakir S, BD Argo, Y Hendrawan and S Sugiono, 2026. Kansei engineering modelling of intelligent food packaging for beef products using artificial neural network optimisation. Int. J. Ind. Syst. Eng., 52: 564-584.
Shao D and N Marwa, 2025. Examining the role of artificial intelligence in post-harvest management for enhanced food security: a critical review. Sustain. Futures, 10: 101286.
Singh D, 2025. Harnessing artificial intelligence to safeguard food quality and safety. J. Food Prot., 88: 100621.
Sucipto S, MW Niami, Y Hendrawan, DF Al Riza, S Yuliatun, S Supriyanto and AS Somantri, 2018. Prediction of water content, sucrose and invert sugar of sugarcane using bioelectrical properties and artificial neural network. Int. Food Res. J., 25: 2674-2680.
Wang C, C Lv, Y Gao, Y He, X Zhang, Z Zhang, W Min, D Zhang, D Fan, W Wang, P Ma and F Wang, 2026. Embodied artificial intelligence in the food supply chain: innovations, challenges, and future perspectives. Trends Food Sci. Technol., 172: 105698.
Zatsu V, AE Shine, JM Tharakan, D Peter, TV Ranganathan, SS Alotaibi, R Mugabi, AB Muhsinah, M Waseem and GA Nayik, 2024. Revolutionizing the food industry: the transformative power of artificial intelligence-a review. Food Chem. X, 24: 101867.
Zhang H, 2025. Image recognition method based on internet of things and artificial intelligence technology. Syst. Soft Comput., 7: 200281.
Zhang X, Y Guo, X Wang, J Yuan, Q Zheng, B Hu, R Liu and J Cao, 2025. Artificial intelligence-assisted volatile and biogenic amines sensors in intelligent monitoring of food freshness-recent advances, challenges, and future prospects. Trends Food Sci. Technol., 165: 105319.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Yusuf Hendrawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
