| abstract |
The invention relates to an autonomous set of devices for detecting and identifying wild and cultivated plant species on a farm, using software which, by obtaining a video in real time, can detect, isolate and identify different wild and cultivated plant species by using convolutional neural networks able to distinguish distinctive aspects of the morphology, taxonomy and philotaxy of the plants. By previously training the convolutional neural networks on the characteristics that distinguish one species from another, the system allows the particular identification of each species. By means of a system of video cameras mounted along a transport vehicle, and with the data being obtained in real time, the computer system can determine the agrochemical to be applied according to the plant identified and electronically or mechanically actuate the opening of the valve of a spray nozzle. In this way, the plant receives the exact dose and the specific agrochemical according to the necessary treatment. |