Ensure that you have prepared the data of silage raw materials on the 0th day and fermentation condition indicators for prediction. The data should be organized in the specified format, and the specific format requirements are as follows:
If the model runs through a specific software or platform, complete the installation according to the installation guide. For the web-based model, ensure a stable network connection, enter the specified URL in the browser address bar, and access the model operation interface.
In the model operation interface, find and click the "Data Entry" button to enter the data entry page.
Fill in the prepared data of silage raw materials on the 0th day and fermentation condition indicators into the corresponding input fields according to the page prompts. Pay attention to ensuring the accuracy and integrity of the data to avoid deviations in the prediction results due to data errors.
After completing the data entry, carefully check whether the filled data is correct. If any modification is needed, you can directly adjust it in the input fields.
After confirming that the data is correct, click the "Run Model" button. At this time, the model will start processing and analyzing the input data. The page may display a progress bar, and you can understand the running status of the model according to the progress bar. Please wait patiently for the model to complete. The running time will vary depending on the data volume and model complexity.
After the model runs, the page will automatically jump to the result display page. You can see the predicted results of various indicators of silage feed based on the input data, including but not limited to pH value, lactic acid content (%), acetic acid content (%), and the ratio of ammonia nitrogen to total nitrogen.
pH Value: The suitable pH value for silage feed is usually between 3.5 and 4.2. If the predicted result is within this range, it indicates that the silage fermentation effect is good. If the pH value is higher than 4.2, it may indicate insufficient fermentation and a risk of spoilage. If the pH value is lower than 3.5, the acidity of the silage may be too high, affecting the palatability of the feed.
Lactic Acid Content: Lactic acid is an important product in the silage fermentation process. A higher lactic acid content (generally greater than 3%) indicates that lactic acid bacteria have played a good role in the fermentation process, and the quality of the silage feed is excellent.
Acetic Acid Content: An appropriate amount of acetic acid (generally between 0.5% and 2%) helps to inhibit the growth of harmful microorganisms. However, an excessively high acetic acid content (exceeding 2%) will give the silage feed a pungent odor and reduce the feed quality.
Ratio of Ammonia Nitrogen to Total Nitrogen: This ratio reflects the degree of protein decomposition. The lower the ratio (generally less than 10%), the less the protein decomposition, and the better the preservation effect of protein in the silage feed.
You can evaluate the quality and fermentation effect of the silage feed according to the above indicator interpretations and your actual needs.
If you need to save the prediction results or conduct further analysis, you can find the "Data Export" button on the result display page. Click this button and select the file format you need (such as Excel, CSV, etc.) to download the prediction result data to your local device for saving.
If the system prompts an error during data entry, carefully check whether the input data meets the format requirements and whether there are any null values or unreasonable numerical values. Modify the data according to the prompt information and try to enter it again.
If the model fails to run, it may be due to reasons such as interrupted network connection or insufficient system resources caused by excessive data volume. Check the network connection, close other programs that occupy system resources, and then restart the model. If the problem persists, please contact the technical support personnel.
If you have doubts about the interpretation of the prediction results, you can refer to the result interpretation part of this user guide, or consult relevant professional materials on silage feed fermentation. You can also contact our professional team via email or online customer service, and we will provide you with detailed answers.
The above user guide covers the key processes of model use. If you have any other questions during use or suggestions for model improvement, please feel free to communicate with us.
