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Digital Twinzer
Digital Twinzer

The application represents a vineyard as a digital twin that provides winegrowers with comprehensive and up-to-date information. This enables them to take targeted measures to improve the vines in good time and on the basis of tangible data.

User Research

Concept

UX Design

Visual Design

Prototyping

Info

Time frame

March 2023 - July 2023

Context

Lean Design Project, Hochschule für Gestaltung

Tools

Figma, Protopie, Teachable machine

Teammembers

Konrad Kleisinger, Mikias Ehrmann, Fabian Buchenberger

Problem

In Europe's vineyards alone, winegrowers apply almost 90.000 tonnes of fungal toxins every year.

This is almost 60% of the total amount used in agriculture as a whole. Although the total area of vineyards in the EU accounts for only 2% compared to other crops.


This means that winegrowers use around 73 times more spraying agents than the rest of the agricultural sector.

Research

To gain a basic understanding of the work of an winemaker, we conducted a lot of desk research. Mainly through the internet and, you read it right, a book called "Hobby Winzer".


Afterward, we aimed to connect with as many winemakers as possible to gain insights from their daily experiences. Fortunately, we found several who were willing to assist us through online and in-person interviews. These conversations were incredibly valuable and allowed us to to create empathy maps, personas and identify key pain points.

Pain points

01

Preventive pest control

You have to spray preventively and not only when an infestation is present

02

Data collection

Too little and too imprecise data from the vineyard to make reliable forecasts

03

Documentation

There is a lack of opportunities to document abnormalities in the vineyard

Then, we used creative techniques like Crazy 8s and sketching to ideate features and concepts. After that we worked to form a balanced overall concept. In this process, methods like the MoSCoW method were very helpful in evaluating and prioritizing features. By the end, we had developed a shared understanding of the project and documented this with a "question zero."

Concept

The solution is a comprehensive digital application that records, analyses and visualises data from camera images, LiDAR sensors and satellites and makes it available to winegrowers in a single program. These sensors are attached to the tractor and collect data simultaneously alongside other activities in the vineyard. The vines are analysed for various diseases and their general state of health is determined.


This gives the winegrower both an early and holistic overview of the weak points in his vineyard and allows him to use the data collected to take targeted measures to tackle or rectify them.

Final Screens

Home Screen

The start screen displays the most important information about the vineyard and allows you to quickly access key areas of the app

Scan Start

During the daily work in the vineyard, the sensors attached to the tractor collect new information about the vineyard. As soon as the winegrower reaches a new field, he can start the scan.

Infestation view

Overview of all new infestations from the previous scan. You can obtain more detailed information by zooming in on the map or clicking on a field or an infestation type.

Forecast

Forecast of the spread of current infestations. All influences are displayed on the left-hand side so that the winegrower knows how the forecast came about. The forecast helps the winegrower to determine where control and prevention measures need to be taken.

Condition

By monitoring the leaf density and height of the foliage wall in addition to the NDVI vegetation index, it is possible to draw conclusions about the health and vitality of the plants.

Weather

Both particularly wet and particularly dry weather can be the cause of a pest infestation. This is why winegrowers must always keep a close eye on the weather. Our weather display provides precise information on temperature, precipitation and leaf moisture calculated for individual vineyards.

Notes

Not everything can be detected by the sensors. If the winegrower notices an anomaly in the vineyard, such as a fallen post, he can record it manually.

ongoing Scan

During the scan, the winegrower receives live feedback on the progress of the scan and the health of his vines.

Infestation view

Overview of all new infestations from the previous scan. You can obtain more detailed information by zooming in on the map or clicking on a field or an infestation type.

Forecast

Forecast of the spread of current infestations. All influences are displayed on the left-hand side so that the winegrower knows how the forecast came about. The forecast helps the winegrower to determine where control and prevention measures need to be taken.

Condition

By monitoring the leaf density and height of the foliage wall in addition to the NDVI vegetation index, it is possible to draw conclusions about the health and vitality of the plants.

Weather

Both particularly wet and particularly dry weather can be the cause of a pest infestation. This is why winegrowers must always keep a close eye on the weather. Our weather display provides precise information on temperature, precipitation and leaf moisture calculated for individual vineyards.

Notes

Not everything can be detected by the sensors. If the winegrower notices an anomaly in the vineyard, such as a fallen post, he can record it manually.

Infestation View

Overview of all new infestations from the previous scan. You can obtain more detailed information by zooming in on the map or clicking on a field or an infestation type.

Forecast

Condition

Weather

Notes

Product Video

Product Video

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2026

Jakob

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Send me an

or message me on

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2026

Jakob

Seeger

Send me an

or message me on

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2026

Jakob

Seeger