Plant growth management and control model construction method, electronic equipment and storage medium
A technology for plant growth and construction methods, applied in the field of plant growth control, can solve problems such as strong subjectivity, environmental pollution, and lack of differentiated treatment models.
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Embodiment 1
[0035] Such as figure 1 Shown is an embodiment of a method for building a plant growth control model of the present invention, a method for building a plant growth control model. include:
[0036] Obtain the visible light image data of the plant, perform image clipping and labeling on the visible light image data as the training set and verification set, input the training set and verification set into the visible light data processing model, and complete the training and verification;
[0037] Obtain the multispectral image data of plants, perform data splicing and preprocessing on the multispectral image data, and then perform image segmentation and labeling on the multispectral image data, input the segmented and labeled multispectral image data into the multispectral data processing model, and Complete training and validation;
[0038]Obtain the planting knowledge of plants and the environmental data in the field, input them into the visible light data processing model a...
Embodiment 2
[0043] This embodiment is similar to Embodiment 1, the difference is that the main control object in this embodiment is the new shoot of the plant, and the construction method of the plant growth new shoot control model is as follows: figure 2 shown. Visible light image data is collected by the camera components set up in the field to collect visible light images of the growth of new shoots of plants. The multispectral image data is collected by the multispectral camera mounted on the drone. The multispectral camera follows the drone in the air. Acquire multispectral images of shoot growth on top of plants.
[0044] The visible light image data is clipped and marked, and the data set is divided according to the ratio of 8:2 to construct a training set and a verification set. Perform verification to adjust the parameters of the visible light data processing model.
[0045] Splicing the data of new shoots from the multispectral image data, after image segmentation and labelin...
Embodiment 3
[0047] This embodiment is similar to Embodiment 2, the difference is that the main control object in this embodiment is the flower of the plant, and the construction method of the plant growth and flower control model is as follows: Figure 4 shown. Visible light image data is collected by camera components set up in the field to collect visible light images of the growth of plants and flowers. Multispectral image data is collected by the multispectral camera mounted on the drone. The multispectral camera follows the drone flying in the air and collects A multispectral image of flower growth on top of a plant.
[0048] Cut and label the visible light image data, divide the data set according to the ratio of 8:2, construct the training set and the verification set, input the training set into the visible light data processing model for training, so that it can recognize flowers, and perform the verification set on it. Validation tunes the parameters of the visible light data p...
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