Researchers from Penza State University have developed two neural network complexes that can control a greenhouse. With the help of video cameras, it monitors the condition of plants in real time and, accordingly, selects the optimal parameters of the microclimate.

Currently used mechanical sensors are installed in the facilities. As a result, the escape does not develop normally. In a comment to Izvestia, one of the developers, Sergey Markelov, stated that such problems do not arise when observing a facility using video cameras. It is also cheaper – the cameras are disposable and require special care.

One camera can observe three to 16 plants. A neural network divides the resulting image into many areas where artificial intelligence determines the main elements: the plant itself, the environment, the boundaries of objects. After that, the analysis is as follows: the diameter of the stem and petiole, the area of ​​​​the leaf cover, the growth of the stem and fruit are determined. The data is transmitted to a second neural network that calculates the growth, volume, number and approximate volume of the leaves of the plant.

Also, AI can determine the chlorophyll content in the shoot, from which you can find out if the plant has enough nitrogen. With the help of lamps with LEDs of different colors placed in the greenhouse, the neural networks can choose the most suitable lighting for the crops. You can control your smart greenhouse from your smartphone or computer. Researchers say its use will help reduce the energy spent growing plants by two to three times.

Now the development is being tested in a small box. According to the creators, it will be possible to use it not only in agriculture, but also for research purposes – to develop new varieties and strategies for their cultivation.

Source: Ferra

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