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Optimization of fertilization rate density
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Optimization of fertilization rate density

Module content

The module of fertilizer amount density optimization is mainly used for regression analysis of fertilizer amount and planting density and optimization of fertilizer amount and planting density. After you upload the data in the correct format, the system will calculate the best combination of fertilizer amount and planting density to maximize the yield. The running results of the system will be displayed from three aspects

Data table display
This section shows the data you entered and the output data predicted after system modeling
Neural network regression
This part is the regression part of BP neural network, which shows the expression of BP neural network, fitting effect test and goodness of fit test chart. At the same time, it also shows the best combination of planting density and fertilizer amount, as well as the corresponding maximum yield
Polynomial regression
This part is the polynomial regression part, which shows the polynomial regression expression, fitting effect test and goodness of fit test chart. At the same time, it also shows the best combination of planting density and fertilizer amount, as well as the corresponding maximum yield

Module implementation method

1. Regression analysis of planting density and fertilization data

BP neural network and polynomial regression were used to analyze the uploaded data of planting density and fertilizer amount.

The expression of BP neural network is as follows:

The expression of polynomial regression is as follows:

2. Optimization of fertilizer amount and planting density

The genetic algorithm was used to find the best combination of planting density and fertilizer amount for maximum yield.

3. Data visualization

The data visualization is realized, and the legend is as follows

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