Machine interoperability fostered by H2020 projects
In 1799, French soldiers found the Stone of Rosetta: which was the ‘master’ key to deciphering Egyptian hieroglyphs, thereby opening a window into ancient Egyptian history. AgGateway.org i, standardization organisation for agricultural e-business, developed the open-source ADAPT framework, to be the ‘Rosetta Stone’ for data of a wide range of farm activities.In 1799, French soldiers found the Stone of Rosetta: which was the ‘master’ key to deciphering Egyptian hieroglyphs, thereby opening a window into ancient Egyptian history. AgGateway.org i, standardization organisation for agricultural e-business, developed the open-source ADAPT framework, to be the ‘Rosetta Stone’ for data of a wide range of farm activities.
A fast-growing number of agricultural data are generated by machines. Therefore, AgGateway is working together with the Agricultural Industry Electronics Foundation (AEF). AEF is a standardization organisation representing agricultural OEM’s. Their ISOXML file format is well known in the precision farming industry and can be translated through the ADAPT frameworkii. See the business interactions between AEF and AgGateway on the right.
Key in the adoption of ADAPT is involvement of machine manufacturers . With their ADAPT implementation, the data will flow easily to the agricultural e-business, which is an incentive for more to join.
H2020 Multi Actor Projects gave a strong impulse to this development, because they bring together the two standardisation organisations and provide resources to explore and create Proof of Concepts.
An important impulse came in 2019 from IoF2020.eu project, where the use-case on Farm Machine Interoperability showcased data interoperability by using the ADAPT framework. This acted like a trigger to help the agricultural OEM’s and software companies (=FMIS) understand that standardisation is one of the key solutions for solving interoperability issues and that this cannot be solved without multiple stakeholders working together.
See the recorded webinar
Starting from 2020, the ATLAS-h2020.eu projectiii investigates standard data interfaces in the field of cloud-based agricultural applications. They will build upon the IoF2020 knowledge and ecosystem.
The Use Case Machine data in GSAAiv in project NIVA4Caps.euv explores and applies the use of data from farm machines for Integrated Administration and Control System (IACS) of Paying Agencies in EU. Inspired by the activities in IoF2020, the NIVA Use Case investigates if they can use ADAPT, so that more machines can be connected in a standardised way. For farmers, the Paying Agencies could provide contextual and reference data, like field boundaries, to plan machine operations more easily.
P.G.A. (Peter) Paree Programmaleider Gezondheid | Projectleiding | Afdeling Programma's
The harvest of Scarlotta variety
In use case 3.1 (fresh table grape chain) the harvest is almost finished. We had the visit of Schuttelaar and Partners in order to make some videos of the trial in Castellaneta Marina in Apulia Region – ITALY.
The harvest of Scarlotta variety took place in 17 of August 2020 and the day after the preparation of the package took place in University of Basilicata.
The fourth year of harvest in Romanazzi farm confirms the results obtained of a better management of all the production means in particular about the irrigation management. This is of particular importance considering that the grapes are certified organic.
The BLOW insertion will certainly give the same results obtained in the previous years including the prolongation of the shelf life of the cluster able to reach 90 days.
This means that the cluster can be easily appreciated until the middle of December 2020, also during the final event of the IOF2020 project!!!
Porphyrio® - How Biostatistics, Big Data & smart algorithms can facilitate pig meat production
Together with ILVO, Vion, ZLTO and LINKS Foundation, Evonik Porphyrio contributes to the meat trial use case Pig Farm Management – UC5.1. The goal in this use case is to utilize IoT technologies to optimize the pig meat production process. Data along the complete production chain is used to support pig farmers in taking everyday decisions.
The Porphyrio® software enables key insights into the well-being and performance of the animals. Using a customized dashboard, the system enables farmers to always supervise their pigs – anytime and anywhere. Thereby, all crucial elements of production are taken into account: feed, climate, health, welfare, and many more factors. Our Early Warning System helps detecting issues upfront and allows better production efficiency. This makes it possible for farmers to control performance according to their long-term strategy and achieve their goals.
The Porphyrio® system represents the digital pillar of Evonik Precision Livestock Farming. It is a key element in the digital transformation, working towards an increased productivity and reduced cost while respecting the environment and animal welfare.
Within the next weeks, the first two farmers involved in the use case Pig Farm Management will get access to the Porphyrio® system. We are excited about moving on with the trial!
Francesca Renzi Data Science Team Lead a20t Evonik Porphyrio NV
Last updates for the traceability improvement in the beef chain
The Use Case 5.4. from the Meat trial of IoF2020 aims to demonstrate the potential of the integration of IoT devices, Open Data, cloud platforms, Big Data processing and blockchain to create a shared value system (Figure 1). The UC is specifically bringing together data retrieved from the phases of crop growing, beef cattle rearing, fattening, logistics, slaughtering, and consumers aspects.
With this aim, the first year of work under this use case was focused on hardware deployment in different testbeds across Europe, and integration of all hardware operability (Meteo stations, IoT collars, Ear tags, Smart animal scale).
Based on this data received from IoT connectivity, the second year of the use cases focuses on the app fusion and development between Crop and Livestock data. Once the data is integrated with the data flow on relevant servers, Blockchain is used to validate the data. Blockchain is a technological tool that allows to share data from different sources without interfering and without allowing change of information, so it is being used for trust and tracing many processes. For the food chain its application can be perfectly adapted since it can be used for certification purposes along the traceability chain. For this purpose, FIWARE technology was used as the Context Broker Generic Enabler allowing the data model to be operative. The first trials with the block chain technology are being performed with the events designed for the beef chain.
Check it out with the QR-code below
As a result, a summary of the beef life cycle can be shown in a QR label (Figure 2) to be used for all steps of the food chain, including the consumer as last step, what makes it very fitting for the actual “From farm to fork” panel from the European Union. If in all this data there is not any warning or changes the share beef system verifies that the animals were weaned from x date to y date, that they were growing in optimum conditions and transport to the slaughter . This ensures towards the consumer, farmer and food enterprise the origin and rearing circumstances of their products in a transparent and safe way.
Ana Bugueiro DVM (Project manager at Sensowave) and Ignacio G. Maqueda (CTO at Sensowave)
After meetings with WP3 regarding the catalog of reusable components and asking the different Use Cases for using them and feeding the catalog with own components (that are at present being tested), the next step is related to STRIDE analyses. Once these analyses have been performed, consultation regarding threat resolution is going to be done by WP3 through an online session that is going to be held on September 8, 11-12 CEST for vegetables trial.