Publications on AI and digital agriculture

Mission report 24053 on administrative uses of AI, data governance, skills and the risks of generative AI at the French Ministry of Agriculture and its agencies.

An open-access collective book covering sensors, data, AI, decision support and the social implications of digital agriculture.

A white paper on real use cases of generative AI in farming sectors and agricultural advice, and on the principles for using it.

A book on AI in agriculture, with a foreword by Julien Denormandie, and its website extending it into a reading path and learning environment.

A general-audience feature on uses of AI in farm production and the agronomic conditions under which they make sense.

Mission report 25034 analysing uses of AI in farming and food processing, sovereignty, public data, training and priorities for action in France.

A summary of the work of French agricultural technical institutes on data science and AI, a way into applications already trialled in French farming sectors.

A feature on data, sensors and digital twins, setting out the data quality and governance prerequisites that come before any promise of AI.

A study of AI-based decision-support tools, their uneven adoption and the barriers of interoperability, cost, transparency and data.

A framework for assessing the digitalisation policies of the CAP Strategic Plans and their effects.

A foresight study on the distributional effects of the digital transition, rural resilience and public choices, beyond technical performance alone.

Report of the seminar held in Utrecht on 19-20 February 2025, with thematic annexes on robotics and AI in farming and forestry; rich in use cases and actors.

A review of 34 publications on digital technology for smallholders in low- and middle-income countries, useful for questioning how accessible and inclusive tools are.

A survey of 1,444 farmers in nine Member States, an empirical basis for prioritising needs, connectivity, skills and data sharing.

A survey of the US agricultural extension system on AI governance, training, infrastructure and field practice.

The USDA's institutional AI strategy — research, imagery, forecasting, governance and responsible use. A public strategy, not an endorsement of any product.

A paper in IT Professional (IEEE, vol. 22, no. 3) on how AI is transforming agriculture and agricultural research. The ARS page gives its record and abstract; the full text is at the publisher (DOI 10.1109/MITP.2020.2986124).

Report EIB-248, based on US farm surveys, measuring actual adoption of guidance systems, yield maps and variable-rate input application.

A report of the Secretary-General to the General Assembly on technology trends in agriculture, their benefits and risks, and the conditions for rural areas and smallholders to benefit.

Country diagnostics of the barriers to and drivers of digital agricultural transformation, to compare contexts rather than transpose a tool as is. The landing page is still online, but its links to the reports no longer reach the texts (as of 22/09/2026).

An international overview of AI applications in agriculture and the conditions for deploying them.

A report on data, AI and the monitoring of agri-environmental policies, which also documents the risks of a digital divide and of poor governance.

A study of Earth observation for food security monitoring and agricultural policy, a companion to the satellite and geospatial data in the directory.

A brief on decision-support apps, sensors, remote sensing, drones and digital platforms, and how they can reduce the information asymmetries smallholders face.

A map of digital farming innovations for smallholders in developing countries, the obstacles to their adoption and recommendations to overcome them.

A global report built on 27 case studies, analysing the benefits of agricultural automation, its risks of inequality and the conditions for its adoption. Also available in French.

arXiv preprint — the linked version is not a journal version; read it as work in progress.

A hierarchical benchmark for evaluating multimodal large language models on agricultural tasks. Presented at the CVPPA workshop at ECCV 2024.

arXiv preprint — the linked version is not a journal version; read it as work in progress.

An evaluation of vision-language models across seven agricultural topics, announced for ICCV 2025; useful for designing assistant tests, not for certifying their reliability.

An open-access paper on the conditions for and limits of agricultural AI in developing countries, for a critical reading of inclusion issues.

An open-access review linking modelling, precision agriculture and food security; it sets out potential more than effects measured in the field.

Living portal — a watch source, not a publication.

An overview of the AI research and extension areas funded by the USDA, from remote sensing to livestock and decision support; a way into funded projects.

Living portal — a watch source, not a publication.

The stream of publications from the DigitAg convergence institute, with their records, dates and HAL or DOI identifiers.

Living portal — a watch source, not a publication.

A searchable database of recent ARS scientific manuscripts; results have to be picked one by one.

Living portal — a watch source, not a publication.

The OECD's topic page gathering its studies and updates on innovation and digital technology in agriculture.