Europe must feed 450 million people in a context of climate change, resource scarcity, and growing environmental and health requirements. Faced with these challenges, artificial intelligence and the cloud bring concrete solutions to improve farmers' daily lives, strengthen the resilience of our agriculture and the continent's food autonomy while guaranteeing food quality and safety.
Improved animal welfare, production optimization, reduced environmental impact, climate risk predictability, waste reduction, traceability, and water savings: from the far reaches of Brittany to Northern Italy, passing through the United Kingdom and Spain, cloud and AI technologies are transforming farms. With the use of these technologies in agriculture, McKinsey anticipates up to 25% increase in yields, 40% reduction in fertilizer use, 90% for herbicides, and water savings that can reach 1.5 billion gallons.
Throughout Europe, AWS makes cutting-edge AI and cloud technologies accessible to all agriculture stakeholders: from Breton cooperatives to farmers in Aragon, including startups exporting their innovations worldwide, concrete innovations are emerging to make agriculture more sustainable, productive, and resilient.
Abit Agritech: AI-Powered Biodiversity and Soil Health Monitoring
In Italy, Abit Agritech has developed AI prediction systems that help farmers and agri-food businesses combat climate change by better understanding and supporting biodiversity in agriculture. The startup uses Amazon SageMaker to develop its AI algorithms and built a minimum viable product of its mobile app in six months using AWS Amplify, achieving a 70% reduction in costs compared to on-premises solutions. The app provides data-driven insights on soil quality, weather patterns, and biodiversity, helping farmers optimize soil management practices, reduce dependency on chemical inputs, and promote environmental sustainability. Built on over 20 years of ecological science, Abit Agritech's platform transforms field-level ecological data into certifiable sustainability metrics for ESG reporting, Scope 3 disclosures, and regenerative sourcing decisions, making biodiversity measurable, verifiable, and actionable across industries including food, beverage, and agriculture.
Agrow: Saving Water with Precision Irrigation
Agrow, a precision agriculture solution based on AI and AWS cloud, helps farmers optimize their water consumption and improve irrigation efficiency, particularly in the Ebro basin in Spain. By combining between 50 and 100 data points (satellite imagery, soil moisture sensors, hyperlocal weather data), the solution allows farmers to know exactly when, where, and how much to irrigate. Water consumption can thus be reduced by up to 50% per year while maintaining yields. Nearly 450 farmers in the regions of El Burgo de Ebro and Villanueva de Gállego already benefit from this initiative.
Cooperl: The Digital Twin Serving Animal Welfare
COOPERL, a French agricultural cooperative with 3,900 member farmers, has embarked on a data and AI transformation program with AWS. At its heart: a solution called the "Digital Twin of the Farm", a concept still new in the agricultural world—that enables data-driven farm management. Temperature, humidity, and video data are captured on-site and sent to AWS for storage and AI model training. These models are then deployed at the edge, directly on the farm's computing infrastructure, for real-time use cases: pig counting, real-time animal positioning, hydrometry, feed monitoring, and early identification of bleeding and health risks.
Already deployed on about ten farms in 2025, the cooperative's goal is to equip several hundred farms by 2030. For farmers, this means less time spent on direct observation monitoring, faster response to animal health issues, and better overall farm management while improving animal welfare.
Compagnie Fruitière: AI in the service of fruit and vegetable production
A leading distributor of exotic fruits (bananas, pineapples, mangoes) and vegetables in Europe through its extensive network of ripening facilities, Compagnie Fruitière is also a major producer in Africa and Latin America. The group, which today employs 23,000 people, has developed with its technology subsidiary FARMS Digital a precision agriculture software platform designed for growers.
At the heart of this innovation, the FARMS solution uses geolocated field data to provide comprehensive, real-time monitoring of the banana production chain, from the field all the way to packing. Geolocation ensures precise and reliable data compared to traditional collection based on declarative reporting and enables intra-plot diagnostics that open the way to precision agriculture in phytosanitary treatments and field operations.
Deployed directly in the field, including in offline mode, the solution turns agronomic data into an operational decision-making tool. It helps optimize fruit disease management and boost farm productivity. As plantations employ large numbers of agricultural workers, the solution also enables better tracking of actual working hours for overtime payment, a benefit welcomed by the workers.
Built on AWS using native services, FARMS Digital now relies on several platform services including Amazon Bedrock for generative AI integration and Kiro for the development of its third-party applications, enabling the company to offer its clients complementary services based on non-personal data processing. FARMS illustrates how a solution built by and for growers can harness the cloud and AI to deliver tangible impact on agricultural performance, in environments where every optimization is strategic.
Orisha: Agentic AI to Reduce Pesticide Use
Faced with the difficult equation of protecting crops while reducing the environmental and health impact of pesticides, European software publisher Orisha has developed an agricultural health monitoring solution based on agentic AI. Built on Amazon Bedrock, AWS's generative AI platform, the solution continuously analyzes plant health bulletins published by government authorities. It automatically identifies farms affected by health risk and triggers targeted prevention actions: specific treatments on threatened plots rather than systematic treatments across the entire farm.
Phytoform: Reducing Food Waste Through Precision Genome Editing
In the United Kingdom, Phytoform combines AI and precision genome editing to tackle food waste. Their CRE.AI.TIVE platform uses machine learning to identify and introduce new genetic traits into crops with great precision, developing ultra-compact tomato varieties for indoor agriculture requiring up to 70% less labor. Unlike traditional GMOs that introduce foreign genes, this approach modifies the plant's existing genome in a targeted manner. Supported by the AWS Compute for Climate Fellowship, Phytoform illustrates how European innovation can simultaneously address productivity and sustainability challenges.
Sencrop: Anticipating Weather to Save Water and Reduce Chemical Treatments
Weather forecasts are only reliable 40% of the time for precipitation, which complicates planning for farmers: when to treat? When to irrigate? Sencrop, a French startup founded in Lille, has developed a microclimate solution that analyzes 1.5 billion weather data points per day. AWS infrastructure allows it to process these massive volumes in real time thanks to scalable computing and storage services, and make them accessible via a mobile application, giving farmers precise hyperlocal forecasts for each plot. Thanks to this solution, nearly 30,000 farmers in Europe, including 9 out of 10 winemakers and potato producers, have reduced their chemical treatments.
xFarm Technologies: Transforming Data into Decision-Making Power
In Northern Italy, after losing a third of his family farm's crops, the founder of xFarm Technologies developed management tools accessible to all farmers. His application today provides access to comprehensive solutions, from irrigation to pest control, to more than 500,000 farms in over 100 countries, covering seven million hectares. Built on AWS, the xFarm platform processes massive volumes of agricultural data (satellite imagery, crop health monitoring) while complying with strict European data protection standards, enabling farmers to make better decisions based on accurate and up-to-date data.
