| Titre : | Applications and perspectives of Generative Artificial Intelligence in agriculture (2025) |
| Auteurs : | F. Pallottino ; S. Violino ; S. Figorilli ; C. Pane ; J. Aguzzi ; G. Colle ; E. Nerio Nemmi ; A. Montaghi ; D. Chatzievangelou ; F. Antonucci ; L. Moscovini ; A. Mei ; C. Costa ; L. Ortenzi |
| Type de document : | Article |
| Dans : | Computers and Electronics in Agriculture (vol. 230, March 2025) |
| Article en page(s) : | p. 109919 |
| Langues : | Anglais |
| Langues du résumé : | Anglais |
| Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM AGRICULTURE ; SYSTEME DE PRODUCTION ; INTELLIGENCE ARTIFICIELLE |
| Résumé : | Artificial Intelligence (AI) applications related to agriculture have recently gained in use and attention. They are indeed valuable tools for interpreting data, improving production chains, and optimizing the use of natural resources. Among AI models, the most recent and promising area is represented by Generative Artificial Intelligence (GAI). After an initial description of its general model architectures, this work aims to review its practical uses and potentials in the following individual sectors: agriculture, precision farming, and animal farming, as well as interdisciplinary applications. The literature search was carried out using the SCOPUS, Google Scholar, and Web of Science databases. GAI holds immense potential for revolutionizing agriculture, offering solutions ranging from precision farming to pest management and supply chain optimization. Though some applications can extend beyond efficiency gains, and hallucinations occurrence i.e. false output information presented as fact, remains an open issue, GAI can be decisive for tasks like improving training datasets, refining models, and facilitating time series analysis. This review extensively describes the vital importance of these tasks for agriculture, precision and animal farming, caused by the rise of new technologies. As a result, by embracing and responsibly implementing GAI applications, it is possible to create a more sustainable and resilient future for agriculture and precision farming. GAI have the capacity to extract specific information from big data systems, offering huge potential to meet a growing global population demand and consequent environmental challenges for the future. |
| Cote : | En ligne |
| URL / DOI : | https://doi.org/10.1016/j.compag.2025.109919 |
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