Exemples d'apports de l'intelligence artificielle (IA) pour l'envirotypage et Phénotypage numérique des plantes

Abstract

The characterization of plants and their environment is changing scale with the development of digital plant phenotyping tools and methods. Phenotyping and envirotyping tools are more accessible, enabling multi-scale observation of plants and their environment—even molecules—through multi-plot observation via satellite. At the same time, large amounts of data are more accessible and easier to exploit through indexing in open information systems. Processing is facilitated by an increasing number of sophisticated tools, particularly with the help of artificial intelligence, thus facilitating analysis by the operator. Two applicated examples are detailled here regarding segmentation for combined mixed crops and insects identification and counting. Environmental and phenotypic data can be combined in predictive or decision support models. These data are valuable assets for accelerating the deployment of agroecology and resilient, sustainable agriculture.

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