How are plant models made?

A plant cultivation model comprises a tree structure, which comprises a trunk, a pair of main branches and a plurality of side branches; The main branch is located at the top of the trunk, and the main branch and the trunk form a Y-shaped skeleton; The lateral branches are located at the top of the trunk and evenly distributed on both sides of the main branch; The lateral branches and the main branches form a fan.

1, and also comprises a truss structure, wherein the truss structure comprises scaffold lines, and the scaffold lines are used for respectively fixing the main branches and the side branches.

2. It also includes the frame structure. The trunk height is 50cm, the main branch height is 250cm, the plant spacing is 200cm×400cm, and the scaffold line is set at the height of 220cm directly above the planting line 150cm.

3. The included angle between the trunk and the fan is 20-50 degrees.

4. The included angle between the trunk and the fan is 30-40 degrees.

5. The tree structure includes 8 ~ 12 side branches.

6. The included angles between lateral branches and adjacent lateral branches and between lateral branches and adjacent main branches are 5-20 degrees respectively.

7. The height ratio of the highest point of the main branch to the trunk is 4 ~ 6: 1.

Extended data:

Crop growth model can quantitatively describe the dynamic process of crop growth, grain formation and yield according to meteorological conditions, soil conditions and crop cultivation management measures. However, the model simulation has great uncertainty and needs a lot of input parameters. Remote sensing data can obtain large-area crops and other related information in real time and dynamically, but remote sensing inversion and remote sensing products have temporal and spatial discontinuities.

Model simulation has great uncertainty and needs a lot of input parameters. Remote sensing data can obtain large-area crops and other related information in real time and dynamically, but remote sensing inversion and remote sensing products have temporal and spatial discontinuities. The assimilation of remote sensing and crop growth model can complement each other, improve crop monitoring and forecasting ability and remote sensing inversion accuracy, and realize the temporal and spatial expansion of remote sensing inversion.