Industrial PoCs

The OLIOP project aims to act as an incubator for the new olive-growing sector in Oltrepò Pavese, a region historically known for its high-quality viticulture, where cultivation levels are progressively rising due to the effects of climate change. The project seeks to establish a precise production protocol for low-altitude olive farming, which includes the digitalisation of olive-growing areas, the design of pilot plantations in different microclimates, and the development of advanced monitoring systems capable of providing predictive models and decision-making support.     Contacts: Paolo Bazzano paolo.bazzano@icloud.com

DIVINE aims to automatically recognise vine diseases such as downy mildew and powdery mildew through image processing captured directly in the field during normal agricultural operations, using a system trained with artificial intelligence. The project will develop new hardware and software components within the framework of precision agriculture, which, once industrialised, will be able to transmit precise commands to actuators for micro-treatment with plant protection products, optimising and reducing the use of pesticides compared to the amounts used by traditional mechanical farming equipment.     Contacts: Luca Giuseppe Antonio Monterzino prologic@pro-logic.it

EVA aims to develop a robotic machine capable of automatically harvesting fruit from trees, particularly plums. The machine, which will move autonomously in the orchard, will be equipped with an artificial vision system to manage its harvesting approach. The project is part of a precision agriculture framework, with the goal of industrialising the fruit harvesting process to increase the value of agro-industrial production.   Contacts: Mariano Gabriel Marchetti mariano.marchetti@mgmrobotics.it

PESTWIN proposes the development of a digital twin, an advanced simulation model that combines biological and environmental data to facilitate the study of agricultural pests and enable more targeted and effective management. The digital twin will initially be applied to the fruit fly *Drosophila suzukii*, but it will be highly flexible and extendable in the future to other harmful insect species. The simulation environment will integrate biology, mathematics, physics, and artificial intelligence to create a tool capable of informing Integrated Pest Management (IPM) strategies, facilitating increased agricultural productivity and a reduction in the use of chemical insecticides.    Contacts: Matteo Rucco matteo.rucco@biocentis.com

STRATAG aims to develop services accessible through a webGIS platform for precision agriculture that assist users in making informed decisions regarding crop management. Users will have access to general information on the health status of vegetation based on satellite data, as well as more detailed information on controlled flooding dynamics and irrigation of fields, based on data collected from sensors placed on innovative stratospheric probes that will be tested for the first time in this context.   Contacts: Lorenza Bovio lorenza.bovio@ithaca.earth  

DIGIFARM aims to improve the technical-economic efficiency of livestock farms, from field to stable, and enhance economic and environmental sustainability through digital solutions to make the dairy supply chain more resilient. The primary objective of the project is to develop and utilise advanced monitoring systems for land, crops, livestock, and biogas, thereby providing farmers with guidance on future managerial choices to maximise production performance, even in the context of seasonal climate change and fluctuations in milk prices and various raw materials.   Contacts: Andrea Zaniboni pcolombaiesrl@colombaie.info 

DIGICAT focuses on developing a digitisable process for the production of biostimulants from digestate aimed at improving the health and yield of crops. The resulting material will be tested in the field to validate its functional effectiveness on tomatoes. The final process for producing the material in a controlled and digitised reactor, along with its process control specifications, will be the end product of the service.   Contacts: Giuliana D'Imporzano giuliana.dimporzano@gmail.com

SRUFTAI concerns the study of the effectiveness and efficiency of the ultrasonic food treatment technology designed by Metacibus. The study will lead to the definition of validated recipes based on the availability of nutrients, nutraceuticals, and antinutritional factors, which, along with the ability to modulate the processing cycle depending on the product, will enable even non-specialised operators to use the technology simply and repetitively, while enhancing its adaptability to the specific needs of customers.    Contacts: Luigi Passeri luigi.passeri@metacibus.it 

UFTAI concerns the implementation of ultrasonic technology designed by Metacibus for the agri-food sector, aimed at reducing energy and water consumption, thereby lowering costs, increasing shelf life, and improving the nutritional and sensory profile of food products released into the market. The requested services support the design and development of the system and the control of the treatment process, enabling the creation of a prototype and the transition to pre-industrialisation and market entry.   Contacts: Luigi Passeri luigi.passeri@metacibus.it 

The aim of the project is to develop a distributed monitoring sensor system that will allow farmers to observe the soil moisture status in real-time across different micro-zones. This will ensure effective irrigation of water-scarce micro-zones while saving water resources where moisture levels are already adequate. The project will introduce elements of radical innovation into the reference market by developing a product characterised by lower costs, greater sensitivity and precision, as well as enhanced environmental sustainability compared to the technology currently available.   Contacts: Giacomo Paolo Manessi giacomo.manessi@elsenuclear.com

VINE-AI aims to implement a cloud-based web platform for monitoring the health of grapevines. The system includes a subsystem of artificial intelligence trained to recognise abiotic stresses (e.g., water or nutrient deficiencies) in the vines and the presence of specific pests through the analysis of a set of sample leaves. The training process for the AI will be built around a simple web interface and an automated system, through which a dynamic machine learning process will be trained.   Contacts: Gaston Ezequiel Di Filippo g.difilippo@betacom.it

The project aims to assist producers in meticulously monitoring their vineyards during the growing season, providing valuable data for targeted field operations, such as variable rate fertilisation and cluster thinning, aimed at achieving high-quality standards. This is made possible by Cartographer, an innovative proximal sensing system developed by Green Atlas, a spin-off from the University of Sydney. The requested service will enable the development of a specific operational protocol for the enological objectives of the most representative grape varieties in the Terre d’Oltrepò region using Cartographer technology.    Contacts: Roberta Cambiaghi r.cambiaghi@terredoltrepo.it 

SmartSilo aims to develop an interconnected silo for the 'intelligent' supply of feed and to enhance sustainability in the dairy sector. The silos in dairy farms will be equipped with load cells connected to both the farm's computers and those of the suppliers to automatically and remotely monitor the quantity present in the silo and the daily consumption. This system will be developed and optimised in an experimental farm equipped with precision systems for monitoring feed consumption. All collected information, including performance and feed consumption, will enable the nutritionist to adjust the diet and select the feed according to the animals' needs.   Contacts: Franco Gerevini franco.gerevini@sivamspa.it 

The Dairy Life PRO project aims to develop software for managing intensive dairy livestock farms, facilitating the management of the herd's records, reproduction, and health. The software uses predictive algorithms for the selection of replacements and culling, supporting the decision-making process of farmers and technicians. The final product will be tested and applied in an industrial environment with the goal of enhancing the decision-making capacity of the livestock enterprise by providing innovative, user-friendly, and technologically advanced software support.    Contacts: Iosef Eugenio Cigagna iosef.cigagna@digitaldrop.eu

The DIGICAO project aims to develop an information system for the digitalization of sheep farms associated with the Cooperativa Allevatori Ovini (CAO) in Oristano, one of the most important players in the national sheep dairy sector, which includes around 1,000 farms. The project's objectives are to provide the associated farms with an IT platform accessible from smartphones, tablets, and PCs that allows for monitoring the performance of the business from a technical, economic, environmental, and animal welfare perspective, in order to facilitate decision-making and collaboration among technicians, farmers, and the cooperative.   Contacts: Gavino Nieddu gavino.nieddu@caoformaggi.it

The goal of the GAINS project is to develop and engineer a smart agriculture service that involves the application of predictive models to support wheat cultivation. These models will be designed to create a harmonized link between satellite data, mechanistic decision support models, sensors, and other auxiliary data (for example, from drones) in order to create a decision support platform that assists the user during cultivation and integrates - in an interoperable manner - with various existing technologies.    Contacts: Andrea Galante andrea@primoprincipio.it

The SPIDAP project aims to implement an innovative decision support system for citrus growers based on advanced sensors that consider the hydrological conditions of the soil and the health status of the plants, leveraging the high-throughput phenotyping system Plantarray and the in vivo sensor Bioristor, which can continuously and real-time monitor the plants' needs. SPIDAP is a concrete response to the productive realities of the area, aimed at increasing the efficiency of irrigation water use while ensuring abundant and high-quality production.    Contacts: Salvatore Timpanaro timpanaro@agrigeos.com 

TRACTOR aims to develop a digital technological solution capable of optimizing and improving current production and management systems in agricultural businesses. Specifically, TRACTOR plans to develop applications based on the use of an autonomous and collaborative rover, along with AI (artificial intelligence) solutions, to continuously monitor blueberry plants within protected environments, in order to support the decision-making processes of agricultural enterprises.     Contacts: Valerio Verderosa valerio.verderosa@we-plus.eu 

The project involves collecting all relevant data in the context of a "farm to fork" approach to support the creation of a sustainable and resilient supply chain model, targeting producers, the horeca sector, and consumers. The data gathered in an ever-changing environmental, climatic, and economic context, through the use of digital technologies involving the production chain, will form the information base necessary to build a strategy of valorization and transparency for a high-quality and excellent product like Pinot Noir. On pilot vineyard installations, technical trials will be conducted to sustainably mitigate water stress through practices such as under-vine mulching, emergency irrigation tests, and trials of nets to reduce excessive solar radiation—techniques that have so far been underutilized or not used at all.    Contacts: Antonio Seggioli  antonio.seggioli@projectfarm.it

CEBUS aims to promote sustainable agricultural processes that respect the soil. To achieve this goal, the project involves developing a humus balance model capable of providing insights into changes in soil organic matter content. More sustainable soil resource management allows for carbon sequestration and contributes to climate change mitigation. Farmers will have the opportunity to obtain a certification that, based on recognized standards, values the actual increase of organic matter in the soil.     Contacts: Sofia Maria Lilli Sm.lilli@agricolus.com