Molab2, Via Dismano, 3845, Cesena (2026)

12/10/2026

🌾 From field data to better decisions
A drone image reveals a patch of crop growing differently from the rest of the field. What should the farmer check first?
🚁 The image gives them a place to start. Visiting that patch helps them investigate the cause before deciding whether any action is needed.
Satellite images can help put the observation in context. Comparing images over time allows farmers to follow crop development across fields and identify areas that need a closer look.
🐄 An animal tracker offers a similar starting point. If an animal’s activity changes, the farmer can check the animal and look for an explanation. The record alone does not establish the cause.
These situations make useful classroom exercises. Learners can examine a crop image or an activity record, discuss what might explain the change and decide what information they need before recommending an action.
A useful question to ask in class is: “What would you check on the farm, and why?” Answering it helps learners connect the data with a practical decision.
💬 Which example would you use with your students: a change in crop growth or an animal’s activity?

09/10/2026

🌱 MOLAB2 in Japan 🇯🇵

The idea behind the MOLAB2 project was met with great enthusiasm during our conversations with Japanese farmers and universities.

MOLAB2 connects education, research and agricultural practice bringing together international partners to exchange knowledge, experience and innovative solutions for agriculture.

What attracted particular attention in Japan was the way we cooperate across Europe and build international partnerships around real agricultural challenges This model of collaboration brings tangible results and offers an inspiring perspective for our Japanese partners.

🌾 From international cooperation to local farms – sharing knowledge that works in practice.

08/10/2026

🌱 Your cotton T-shirt started in a field
Yesterday was World Cotton Day, putting the spotlight on a crop that is part of our everyday lives and supports millions of farmers and families around the world.
But it also gives us a good reason to keep the conversation going: what does it mean to produce more sustainably?
🌾 Behind that cotton T-shirt there is a whole chain of resources and choices. How do we protect the resources we will need tomorrow? How can we reduce waste and use water and other inputs more efficiently? How do we keep farming economically viable? And where can technology actually help?
💡 These are also some of the questions we are exploring in MO-LAB II, where sustainability means looking at the bigger picture from an environmental, social and economic perspective and understanding how digital tools can support better-informed decisions and more responsible use of resources.
Because sustainable agriculture is not simply about producing differently. It is about understanding how we produce, what it costs our resources and how we can do it better.
And sometimes, even an everyday cotton T-shirt is a good place to start that conversation. 👕🌱
🌐 https://molab2.eu/

05/10/2026

🎓 Today, on World Teachers’ Day, we celebrate the people who help us learn, grow and prepare for what comes next
Every field has its own challenges and teaching means constantly keeping pace with a world that does not stand still. This is something we see first-hand in MO-LAB II, working alongside teachers and trainers who are preparing the next generation of agricultural professionals.
💡 At MO-LAB II, we know that keeping teaching up to date takes time, knowledge and a lot of work. That is why one of our goals is to make this task a little easier, developing practical learning materials and digital tools that teachers can use, adapt and bring into their classrooms.
🚜 Because preparing the farmers of tomorrow does not start with a new technology. It starts with a teacher who can help students understand it, question it and use it well.
💚 So today, a special thank you goes to our teacher colleagues across the MO-LAB II partnership, who share their experience, challenge our ideas and help us keep our work connected to what actually happens in the classroom.
And beyond the project, thank you to all the teachers we have met along the way and especially those we still remember years later because, in one way or another, they changed the course of our lives.
Happy World Teachers’ Day! 🎓
🌐 Learn more about MO-LAB II: https://molab2.eu/

01/10/2026

🌾 What should a farmer check first?

🚁 A drone image reveals a patch of crop growing differently from the rest of the field. It gives the farmer a place to start: visit that patch and look for the cause.

🛰️ Satellite images can help put that observation in context. Comparing images over time allows farmers to follow crop development across fields and decide which areas need a closer look.

🐄 In livestock farming, a change in an animal’s usual activity can also prompt a check. A tracker may flag the change, while observing the animal helps the farmer understand what might be happening.

📊 Each example involves the same practical skill: interpreting the data, comparing it with conditions on the farm and deciding what to do next.

🎓 For agricultural learners, practising this process means looking at an image or an activity record and asking: What has changed? What should I check before taking action?

🌐 Visit the MO-LAB II website: https://molab2.eu/

28/09/2026

🌱 Biomass production is at the heart of farming, and digital tools can improve its efficiency

🎓 Farmers at the Estonian Agricultural Fair highlighted gaps in agricultural education that should be addressed by strengthening digital competences

🇪🇪 The MO-LAB II Estonian team took part in the Estonian Agricultural Fair on 23–25 April, attended by more than 40,000 visitors.

💬 During three days of discussions, visitors confirmed that agricultural education still has gaps in digital competences. They showed strong interest in the learning materials being developed by MO-LAB II.

🌾 The discussions also highlighted the need for holistic thinking. Farmers must interpret data from different digital tools and monitoring systems, while remembering that the central purpose of a farm is to produce biomass efficiently and responsibly.

📊 Digitalisation should support informed decisions, sustainable practices and the long-term productivity of farmland.

🔄 Adaptability was identified as an essential intrapersonal competence. MO-LAB II is translating these needs into updated competence profiles, six training modules and a smart learning platform.

🌐 Learn more about MO-LAB II: https://molab2.eu/

23/09/2026

🌏 MOLAB2 in Vietnam! 🇻🇳

From 22–25 September 2026, representatives of the University of Agriculture in Krakow (URK) are participating in project meetings at Dalat University in Vietnam

These intensive days are filled with exchanging experiences, presenting the project’s achievements so far, and discussing upcoming activities and new opportunities for further international cooperation. 🤝🌱

The visit is also a great opportunity to promote the MOLAB2 project its objectives and results, as well as to share URK’s experience with international partners.

Meetings like these show that academic cooperation knows no borders – it connects people, knowledge and experience, while creating opportunities for new joint initiatives. 🌍💡

📍 Dalat University, Vietnam
📅 22–25 September 2026

🌏 MOLAB2 w Wietnamie! 🇻🇳

W dniach 22–25 września 2026 r. przedstawiciele Uniwersytetu Rolniczego im. Hugona Kołłątaja w Krakowie uczestniczą w spotkaniach projektowych na Dalat University w Wietnamie.

To intensywny czas wymiany doświadczeń, prezentacji dotychczasowych rezultatów projektu oraz rozmów o kolejnych działaniach i możliwościach dalszej współpracy międzynarodowej. 🤝🌱

Wizyta jest również doskonałą okazją do promocji projektu MOLAB2 jego założeń i efektów oraz do dzielenia się doświadczeniami URK z partnerami z różnych krajów.

Takie spotkania pokazują, że współpraca akademicka nie zna granic – łączy ludzi, wiedzę i doświadczenia oraz otwiera przestrzeń dla nowych wspólnych inicjatyw. 🌍💡

📍 Dalat University, Vietnam
📅 22–25 September 2026

21/09/2026

🌱 Digital tools are promising solution for the agronomists 🌱
🌍 Molab2 was presented to visitors of European Society for Agronomy congress, which was held in the last week of August in Tartu, Estonia.
👥 Over 250 participants from 26 countries spent the entire week discussing about cropping systems, agronomic production, climate change, nitrogen management, soil health, and finally crop quality.
🌾 Sustainable solutions were sought after and discussed in lecture rooms, as well as on farmers field during the excursions.
🚜 Estonian farmers are very skilled in technolgy and they can be good role-models and inspiration providers for other European farmers.
💻 The fact that one entire day was dedicated to digital tools, gives assurance that educational tools, such as Molab2, are needed by our farmers of tomorrow.
🔗https://esa2026.ee/programme/scientific-programme/⁠

17/09/2026

🚁 What can drones show us that we may not notice from the ground?
🌱 A field may look healthy when inspected on foot.
📸 Drone images may reveal that some parts of the field are growing more slowly, have thinner vegetation or look different in colour.
For example, one area may appear lighter or less dense than the rest of the crop. This may be caused by uneven watering, poor drainage, a lack of nutrients, pests, disease or differences in the soil.
🔎 But the image does not show the exact cause.
👨‍🌾 The farmer still needs to visit the area, examine the plants and soil, and compare what is seen on the ground with the drone image.
Only then can the farmer decide whether the area needs more water, fertiliser, crop protection or another response.
🎓 This is also an important part of agricultural education. Learners need more than the ability to collect digital data - they need to understand how to interpret it, check it against real field conditions and use it to support practical decisions.
🌾 This is one of the areas addressed by MO-LAB II, where digital tools are connected with real agricultural situations and practical competences.
🔗 https://molab2.eu/

14/09/2026

🌾 Why should agricultural education be closer to real farm practice?
💻 Knowing how a digital tool works is one thing. Knowing what to do with the information it gives you on a farm is another.
📡 A sensor can provide data. 🚁 A drone can show differences across a field. 📊 Farm software can bring information together. But learners also need to know how to interpret what they see, recognise when something requires attention and decide what to do next.
🧑‍🌾 This is where practical experience matters.
🔎 The research carried out within MO-LAB II identified gaps between what is taught in agricultural vocational education and the competences increasingly needed in agricultural practice. In some cases, digital topics are covered in theory, while learners have fewer opportunities to operate tools, interpret their outputs and apply what they know in realistic situations.
🚜 Bringing education closer to farm practice gives learners the chance to connect knowledge with real tasks, real decisions and real working conditions.
📚 This approach is reflected in the MO-LAB II Competence Catalogue and in the training modules being developed within the project, with a focus on competences that are relevant to the changing needs of agriculture.
🌱 Because preparing someone for agricultural work means more than explaining how a technology works. It means helping them learn when, why and how to use it in practice.
🔗 Learn more about MO-LAB II: https://molab2.eu/

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