Drones for harvest forecasting
Belgian Research Institute for the Manufacturing Industry Flander Make developed a drone for fruit counting. A flying drone can count from the air how many strawberries there are in the field thanks to artificial intelligence, thus helping manufacturers to more accurately predict their harvest.
The Flander Make Institute has made developed drones that perform automatically inventory list in the warehouse and an algorithm that can count flowers and fruits on parts of agricultural land to make a harvest forecast with help of cameras and sensors.
“In this case, we collected aerial photographs successful strawberry crops. Our algorithm is analyzed images and counted the fruits and flowers that were visible, “said Rob Halen, a researcher at the institute.
Doing manual counting during the research, Hailen says that they managed to determine the boundaries of the error between the number of digitally recognized colors and the actual number of the same.
“Since we now know this information, we are able to be very accurate determine the number of flowers based on quickly collected images of drones, “said Halen.
This application was created in collaboration with Belgian Experimental Center for Fruit Growing. They have already done a manual count of strawberry flowers to predict the yield of the harvest over a period of three weeks. Thanks to the drone, I can do it much faster now.
Biosensors for monitoring sugar levels
Researchers are Linking University in Sweden they have developed biosensors that enable monitoring sugar levels deep in plant tissues, and that in real time.
According to research, information from sensors could help growers to adapt crop production to climate change.
“Sensors are now used for basic scientific research of plants, but in the future they will be able to be applied in agriculture to, for example, optimized conditions for plant growth ili monitored product quality. In the long run, sensors can also be used for production new plant species which can grow in suboptimal conditions“, Said Eleni Stavrinidou, associate professor of organic electronics at this university.
Sensors developed by this research group give information, while without damaging the plant and can provide additional pieces of the puzzle on how it works plant metabolism.
“We discovered a variation in the sugar levels in the trees that was not noticed before. Future studies will focus on understanding how sugar levels in plants change when they are under stress“, Said Stavrinidou.
Source: Future Farming
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