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AI-Based Technology Analyzes Microbes Present in Potato Seeds and Anticipates Their Productivity, Optimizing Cultivation and Reducing Waste in Agriculture
Researchers from Utrecht University and Delft University of Technology have developed a system based on artificial intelligence (AI) to optimize potato cultivation. The tool analyzes microorganisms present in potato seeds and combines this information with images of plantations. With this approach, it is possible to predict the quality of the seeds and increase production efficiency.
Microorganisms Influence Potato Growth
Potato plants of the same variety do not always grow uniformly. Some show greater resistance to diseases, while others produce fewer tubers.
Previous studies suggested that microorganisms present in potato seeds could be one of the factors responsible for these variations. Now, this hypothesis has been confirmed by the researchers.
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Bacteria and fungi present on the surface of the seeds directly influence the development of the plants. Some species promote growth, while others can harm productivity.
The new technology aims to map these interactions to provide farmers with more precise data on which seeds are more promising.
AI Model Analyzes Microbial DNA and Drone Images
The system developed by the scientists combines two sources of data. First, the genetic composition of the microorganisms living in potato seeds is analyzed. Then, drones fly over the plantations and capture images that allow for monitoring the growth of the plants.
With this information, the AI model identifies which microbial combinations are beneficial for cultivation and which may be harmful. This allows for predicting, even before planting, which seeds have the highest productive potential.
Large-Scale Data Collection Increases Accuracy
The researchers analyzed thousands of seed samples in 240 test fields. Throughout the growing season, drones captured detailed images of the plantations. This volume of data helped the AI find patterns and recognize the microorganisms that most affect potato development.
According to Yang Song, one of the leads on the project, this approach allows for a more accurate analysis of the role of microorganisms. The model can reliably identify which microbial factors are linked to the success or failure of the harvests.
Bacteria in Seeds That Help and Harm Crops
The study revealed that different types of microorganisms have distinct impacts on potato growth. Some bacteria, such as those from the Streptomyces genus, have been shown to stimulate plant growth.
On the other hand, certain fungi and other bacteria can reduce the growth rate and resilience of the crops.
With this knowledge, producers can choose seeds with the best microbial composition. This can lead to healthier and more productive harvests, without the need for genetic modifications or additional chemical treatments.
The innovation has the potential to make agriculture more efficient and sustainable. In addition to increasing productivity, the system can reduce waste and decrease the use of fertilizers and pesticides. With more resilient seeds, there is less need for chemical products to control pests and diseases.
The researchers plan to expand the database of the model to deepen the understanding of the interaction between microbes and plants. In the future, it should be possible to treat seeds with beneficial microorganisms, creating a more favorable environment for plant growth.
Less Waste and Lower Environmental Impact
With the ability to predict the quality of seeds before planting, farmers can avoid waste and optimize their harvests. Additionally, the reduced use of chemical inputs decreases the environmental impacts of agricultural production.
The research represents a significant advance for precision agriculture. Using artificial intelligence to analyze factors invisible to the naked eye opens new possibilities for increasing efficiency and sustainability in food production.
With information from Ecoinventos.
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