Position Papers of the 19th Conference on Computer Science and Intelligence Systems

DOI: http://dx.doi.org/10.15439/2024F2991

Citation: Position Papers of the 19th Conference on Computer Science and Intelligence Systems, M. Bolanowski, M. Ganzha, L. Maciaszek, M. Paprzycki, D. Ślęzak (eds). ACSIS, Vol. 40, pages 33–39 (2024)

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Abstract. In the past two decades, computer vision and artificial intelligence (AI) have made significant strides in delivering practical solutions to aid farmers directly in the fields, thereby contributing to the integration of advanced technology in precision agriculture. However, extending these methods to diverse crops and broader applications, including low-resource situations, raises several concerns. Indeed, the adaptability of AI methods to new cases and domains is not always straightforward. Moreover, the dynamic global panorama requires continuous adaptation and refinement of artificial intelligence models. In this position paper, we examine the current opportunities and challenges and propose an approach to address these issues, which is currently in the implementation phase at CNR-ISTI.

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