# QuantiFarm study finds net benefit in 23 of 30 digital-farming cases > A three-year cost-benefit analysis spanning more than 100 farms found mixed results across technologies and contexts, with payback for several tools within one or two production cycles. - Canonical URL: https://newsverum.com/en/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases - Publisher: Newsverum - Section: Agriculture - Country: Italy - Published: 2026-10-25T02:27:51+00:00 - Updated: 2026-10-25T02:27:51+00:00 - Event / data period: 2026-10-22 - Other editions: [Türkçe](https://newsverum.com/tr/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md), [العربية](https://newsverum.com/ar/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md), [Français](https://newsverum.com/fr/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md), [Español](https://newsverum.com/es/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md), [Deutsch](https://newsverum.com/de/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md), [Português](https://newsverum.com/pt/news/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases.md) A European study of digital agriculture reported a net monetary benefit in 23 of 30 case studies, based on the average of three years of experimentation. Four cases showed mixed results within the same farm, where a solution benefited one crop but produced a loss for another; three cases showed a net loss. The findings were released on 22 October by Politecnico di Milano, which coordinated the work with its Smart AgriFood Observatory and Food Sustainability Lab. QuantiFarm was funded through Horizon Europe and brought together 32 European organizations. Researchers collected evidence in 30 case studies across 20 countries, involving more than 100 farms in different biogeographic and production settings. The project examined open-field and specialized crops, dairy cattle, pigs and oyster farming, as well as farm-management performance. Its aim was to assess digital technology in operational conditions rather than infer value from technology specifications alone. The technologies included decision-support systems, agrometeorological stations, sensors, monitoring and data-collection tools, irrigation-management solutions, farm-management platforms, precision-fertilization tools, milking and feeding robots, and automated monitoring of barns and animals. These systems serve different tasks and cannot be treated as one standardized intervention. The release groups them as digital agriculture technology solutions and reports results across heterogeneous cases. The economic analysis associated the technologies with more efficient use of production inputs, lower costs, better yields and productivity, and improved work quality in most participating farms. The three-year view was intended to reduce the influence of year-to-year variation, which the researchers said can be affected by weather, agronomic conditions and farm operating constraints. The mixed cases illustrate that the same tool can perform differently across crops even within one operation. For several tools—especially decision-support systems, farm-management information systems and field sensors—the project found investment recovery within one or two production cycles. The release does not state that every farm achieved that payback period, and the result applies to the specified solution types in the analyzed cases. Longer time horizons can change the calculation as technology use improves, agronomic decisions adapt and savings on inputs accumulate. The project also reported environmental and social effects. It linked digital tools with more efficient use of fertilizers, crop-protection products, animal feed, antibiotics and veterinary medicines, as well as more precise irrigation and fertilization and improved monitoring of crops and animals. Productivity increased in more than two-thirds of comparisons, while remote monitoring, administrative simplification and automation were associated with greater flexibility in farmers’ work and time management. The results are evidence from a diverse set of applied cases, not a single controlled comparison of identical farms. Politecnico di Milano’s release does not provide the case-by-case data, sample design, effect sizes or a common percentage return across all 30 cases. The count of positive, mixed and loss-making cases describes the reported cost-benefit classifications; it does not establish that a given technology will deliver the same result in every crop, farm or season. QuantiFarm’s conclusion is that digital tools should be evaluated by context and across economic, environmental and social dimensions. Its consortium included universities and research centers, along with agricultural organizations such as Confagricoltura, Copa-Cogeca, CEMA, Teagasc, Delphy and IDELE. Politecnico di Milano says the project’s methods and knowledge will inform follow-on Horizon Europe initiatives, including GreenFit, Farmory, Agritechvalley and CeAmplify. The announcement provides a framework for assessing adoption, not a universal ranking of farm technologies. ## Data ### QuantiFarm case sample and cost-benefit outcomes Project sample and three-year net-benefit classifications in Politecnico di Milano’s 22 October release. Methodology: Counts cases from the 30 reported studies. The 23 net-benefit, four mixed and three net-loss categories refer to the three-year average cost-benefit analysis. | label | value | unit | period | basis | value_qualifier | |---|---|---|---|---|---| | Case studies | 30 | count | 2026-10-22 | observed | exact | | European countries | 20 | count | 2026-10-22 | observed | exact | | Farms involved (more than) | 100 | count | 2026-10-22 | observed | lower-bound | | Net-benefit cases | 23 | count | 2026-10-22 | observed | exact | | Mixed-result cases | 4 | count | 2026-10-22 | observed | exact | | Net-loss cases | 3 | count | 2026-10-22 | observed | exact | Sources: · Download data: [JSON](https://newsverum.com/api/v1/articles/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases/data/quantifarm-study-sample-and-outcomes?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/quantifarm-study-finds-positive-net-benefit-in-23-of-30-european-farm-cases/data/quantifarm-study-sample-and-outcomes?lang=en&format=csv) ## Sources - [Politecnico di Milano]() (Source checked: 2026-10-25; Published: 2026-10-22) --- Cite the canonical URL above. 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