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Environmentally friendly agriculture

Name: Agriculture Bot

The big idea: Environmentally friendly agriculture

Challenge type: Standard, Strategic, Nano

Challenge owner: Class Agricultural Machines, Harsewinkel,


Facilitator: Jochen Dickel

Facilitator Contact data:

Challenge is related to the topic of Robotic & IoT




Context & relevance: in general relating to SDG / specific to a field of vocational application

Innovation in terms of robotics applications in agriculture has advanced during in the last 5 years. The objective of agricultural robotics is to help the sector in its efficiency and in the profitability of the processes. In other words, mobile robotics works in the agricultural sector to improve productivity, specialisation and environmental sustainability. Factors such as labour shortages, rising consumer demand and high production costs have accelerated automation in the sector to reduce costs and optimise harvests.


Some applications in agriculture for which Robotnik is used:

  • Detecting the condition of crops and applying chemicals accordingly, spraying or harvesting, depending on the needs of the fruit or plant.

  • Mobile robots for harvesting and processing

  • Collection and transformation of useful information for the farmer.

  • Selective use of pesticides.

  • Selection to avoid food waste


Variants of the challenge

In order to recognize the condition of a plant and to be able to use appropriate pesticides in a targeted and gentle manner, certain agricultural machines have appropriate sensors

With the help of these sensors and data processing, the condition of the plant can be determined by changes in leaf color and shape.

Variant 1: Develop an information architecture for a simple agriculture robot that uses a colour sensor to detect darkly discoloured plant leaves and then treats the leaf with pesticide.

Variant 2: Develop Information architecture and an simple mBot (MakeBlock) prototype of a simple agriculture robot that uses a colour sensor to detect darkly discoloured plant leaves and then treats the leaf with pesticide.


Business partner in an industry or a research field

Business partner: Class, Harsewinkel, Germany

Manufacturer of Agricultural machinery, Agriculture Robotics, Agriculture Robotics research Institutes


The interest of these Partners is in:

  • Attracting young professionals

  • Employee branding

  • Expanding cooperation with universities


Possible cooperation could consist of:

  • Material support (e.g. hardware)

  • Know how support (e.g. software)

  • Sponsoring (e.g. laboratory materials)


Prerequisites of the learners


Functional requirements

Software: No Code application for Application Modelling and -Programming: 

Hardware: Small scale robotic system and components: MakeBlock with color sensors, actuators and mobility functions.

Working Space: complete Mobile? Software lab, Robotic Lab?



Robotic systems enable innovative methods for the environmentally friendly management of agricultural land. By means of special sensor and actuator technology, the use of chemical agents for pest control can be reduced to a minimum. This not only protects the environment but also reduces the need for cost-intensive chemical substances.

Evaluation methods: for example, by comparing the use of chemical agents without and with the aid of robotics.


Open Issues and questions

How can we estimate the workload related to Competence and Challenge level?

How can we define what kind of support the learners get related to their competence level?

How far should specific hardware be assumed?

Which standard methods (e.g. software modeling) are required?

Challenge Based Learning in AI Enhanced Digital Transformation Curricular 
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