1. On the Home page, users can directly input parameters of whole-plant corn silage raw materials and fermentation conditions.

2. Then click "Start" to quickly obtain the index values of silage after fermentation.

3. This section will display the results.

Additionally, the Home page offers a batch prediction mode, enabling users to predict fermentation indices for multiple samples at once.

1. Before uploading files, users may click the Demo button to download the template.

2. After uploading the file.

3. Once the operation has completed, the download button becomes available, allowing you to download the results.

1.Click to switch between Circle tree diagram and Linear tree diagram.

2.Click on the leaves of the tree to access the database displaying the distribution of X and Y value data for the trained model.

3.Linear tree.

4.Display the distribution of X and Y value data for the training model

The Publication interface allows users to search for literature information on the theme of whole-plant maize silage fermentation.

1. Number of countries providing statistical literature information sources.

2. Number of years for statistical literature sources.

3. Literature information.

1. On the Model interface, users can access details about the service models, including core features, hyperparameters, and performance metrics.

2. Furthermore, users can download results of feature analysis they are interested in, covering all outcomes of feature importance ranking, SHAP analysis, 1D-PDP, and 2D-PDP (feature interaction) analysis.

1. We welcome users to submit their new experimental data to help us optimize the models in a targeted manner.

2. Please prepare your data in accordance with the table format requirements specified on the Submit interface, and also provide author information. Click the Demo button to download the table format requirements.

3. This will allow us to contact you in the future, ensure the protection of your ownership rights, and acknowledge your contribution.