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Andriani Società Benefit and B Corp produces pasta, baked goods, pet food, and protein ingredients made from naturally gluten-fre base s of grains and legumes. Its agricultural supply chain includes farms located in Puglia, Basilicata, and other Italian regions.
The challenge: collecting comparable data from hundreds of farms
For Andriani, sustainability must be supported by reliable data collected throughout the entire value chain: from the practices used in the field to the processing and marketing of the product.
At the start of the project, the 130 farms in the legume supply chain did not use a shared system to record field activities. The data was fragmented and difficult to compare: it was not possible to analyze environmental performance across farms, crops, and seasons, nor to establish a common baseline.
• assess the impact of agronomic practices;
• compare farms, crops, and growing regions;
• identify operations with the greatest potential for improvement;
• communicate verifiable results to retailers, investors, and certification bodies.
The initial goal was to gradually digitize the supply chain by 2028, reaching 200 farms covering approximately 7,000 hectares. By 2025, the number of farms involved had already exceeded 350.
The solution: an integrated project to digitize and monitor the supply chain
The partnership between Andriani and xFarm Technologies began in October 2022 with the development of Andriani Farm, a digital platform tailored to the needs of the supply chain. The xFarm team supports farmers and grain storage operators through in-person training sessions, field visits, and regular follow-up meetings.
Each farm records its seasonal activities, from cultivation to harvest. The data is consolidated into a centralized system where supply chain managers monitor acreage, agronomic practices, production, carbon footprint, net water use, acidification, and eutrophication. Through xFarm andAnalytics, Andriani provides a view that ranges from the big picture down to the details of each individual farm.
From Field Data to Regenerative Agriculture
In 2023, 100 hectares in Puglia will serve as a test site for one of Italy’s first major regenerative agriculture initiatives applied to a legume supply chain. No-till planting, cover crops, minimum tillage, crop rotations, intercropping, and circular organic soil amendments are digitally tracked, field by field.
With Marsilea’s field consulting and technical support from dss+, the data feeds into a protocol that can be replicated across the entire supply chain. The model available on the platform now estimates the carbon sequestration potential for each farm.
Thanks to the experience we’ve gained with xFarm Technologies, we transform the data collected in the field into a strategic resource to guide our decisions and help our production model evolve. Farmers—the guardians of expertise and biodiversity—remain at the center of it all.
The Results: An Environmental Baseline for Four Crops
The 2025 Sustainability Analysis established an environmental baseline for the supply chains of chickpeas, peas, lentils, and rice. The analysis uses a calculation engine certified by RINA in accordance with the ISO 14040 standard, which transforms data collected in the field into comparable and communicable information.
Low use of nitrogen fertilizers; planting and harvesting account for about 49% of emissions.
In organic farming, 0.28 compared to 0.42 in conventional farming: the difference is mainly due to yield.
Very low inputs; over 90% of the crop is organically grown.
Toward 2028: An Increasingly Measurable Supply Chain
The goal is to further increase the number of farms and hectares included in the digital system. The sustainability calculation model is currently being updated in accordance with the GHG Protocol and the ISCC+ standard to enhance the recognition of the data in international markets.
Sustainability isn't just a claim. It's measured.
“Andriani is proof that the sustainable transition of the Italian agri-food sector is already underway and that today it can be measured with the same rigor used to measure a product’s quality.”
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