Work

Towards the actual deployment of robust, adaptable, and maintainable AI models for sustainable agriculture

Year: 2024

Type: conference-paper

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 a continuous adaptation and refinement of artificial intelligence models.In this position paper, we examine the current opportunities and challenges, and propose a new approach to address these issues, currently in the implementation phase at CNR-ISTI.

Source: Annals of Computer Science and Information Systems

DOI: 10.15439/2024f2991

Authors: Giacomo Ignesti, Davide Moroni, Massimo Martinelli

Institutions: University of Pisa, Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo", National Research Council

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: diamond

Funders: European Commission, HORIZON EUROPE Framework Programme