Automated Solutions for Fruit and Vegetable Production: Picking Robots with Ripeness Detection
Benefit from efficient and reliable harvesting technology. Invest in AI and robotic harvesting solutions.
There is great interest in economical, automated harvesting techniques for fruits and vegetables. Robot-assisted gripping and harvesting strategies enable precise harvesting of different varieties, thanks to vision-based processes for flexible gripper positioning and path planning.
Fraunhofer IPK has been working for many years and in several projects on the development of flexible grippers, gripping strategies with passive compliance and handling with controlled force regulation. The gripping and handling of fruits, the necessary flexibility of the system to interact with grown plants - these are all difficult tasks that have not yet been solved. The variety of shapes and sizes requires a highly flexible solution. Our expertise lies not only in getting the robotic harvester to recognize the individual fruits, but also to securely approach the necessary positions and grip the fruit without damaging it.
Fraunhofer IPK's innovative solution provides the basis for automated harvesting. The topology of plants and fruits is highly variable in terms of shape and geometry. In addition, fruits can be distributed over a plant. By using AI-based algorithms, fruits can be reliably identified, harvesting processes can be automated, and efficiency can be sustainably increased. Overall, innovative automated harvesting technologies offer many benefits to the agricultural industry and will help increase crop yields while maintaining optimal quality.
Although harvesting robots can be used virtually around the clock, they still need to have human-like cycle times while being highly reliable in recognizing and harvesting fruit. One approach in a previous research project was to use a two-armed robot. This robot was already able to recognize certain types of vegetables between the leaves and to pick and place them gently with its two gripper arms, even in adverse weather conditions. Three different gripper prototypes have been developed and tested under real-life conditions:
In order to develop robot programmin, video analyses of movement sequences during manual harvesting provide important insights into individual movement elements such as "two-handed searching" and "grasping". In addition to touch sensitivity and adaptability to environmental conditions, human grasping movements can now be imitated. Pre-programmed behavior patterns enable the robot to search for fruits and vegetables with two hands in a human-like manner. The fruit can be picked flexibly "on the fly". After recognizing a fruit, the robot should approach it, grab it securely, and separate it from the plant.
There are many benefits of automated fruit and vegetable harvesting: the initial cost of a robot is quickly amortized compared to the annual salary of a worker, and it offers a high level of reliability. The innovative harvesting technology opens up new possibilities for agriculture and increases the efficiency of the harvesting process by saving time and money.
Innovative gripper systems enable efficient harvesting of a wide variety of fruits and vegetables.
The agricultural industry is increasingly trying to develop solutions to both combat climate change and remain economically viable under changing climatic conditions. In particular, greenhouse and vertical farming already offer the possibility of growing a wide variety of crops under constant environmental conditions, regardless of climatic changes. The conditions can be specifically adjusted to change plant characteristics and increase yields. In addition, the use of water, nutrients and light can be optimized to conserve resources. The automation of harvesting processes also offers great potential for making agriculture sustainable and future-proof.
Identifying fruits and vegetables, which are often partially or completely covered by leaves of the same color, is a real challenge. Production is under increasing economic pressure, especially because harvesting is labor-intensive and therefore costly. Inconsistent light conditions in the field and irregular plant arrangement make it difficult to identify the fruits and vegetables to be harvested.
Automating the harvesting process offers many economic benefits. Some vegetables, for example, require up to 30 harvest cycles per season. Without improved harvesting technology, it is expected that such harvest cycles will soon be economically unviable in Germany. In addition, the shortage of harvesters makes automation a necessity if we want to continue to source fruits and vegetables from local farms.
Fraunhofer IPK's technology for automated harvesting is based on artificial intelligence that recognizes fruit and vegetable varieties and their degree of ripeness.
Our many years of experience with small and large industrial partners in the automotive and mechanical engineering sectors have given us in-depth knowledge of a wide range of industrial processes. The technical challenges of our customers, e.g. in the automated assembly of cables, flexible screw connections in vehicles or mobile manipulation, e.g. loading and unloading of machine tools, are comparable to the problems in the field of agricultural harvesting.
In addition, Fraunhofer IPK has already worked on the development of robot-based harvesting technology in several projects. In the "Catch" project, for example, we developed a two-arm robot system for use in cucumber harvesting and implemented it in a prototype. A control system with efficient task-oriented programming for the two-arm robot was developed to plan, program and control the robot's behavior.
We strongly believe that it is worth investing in automated harvesting technology and developing it with our help. Work with us to develop a modern automation solution and benefit from our experience in agricultural robotics.
Let us address your challenges and cultivation methods together. Together with our partner IME, we will develop the optimal system for your conditions.