What Data for This Category Looks Like
Crop farming investment research data sources include public industry monitoring reports, field IoT collected data, seed enterprise variety trial archives, and hourly meteorological station observation data. Update rhythms vary significantly: field IoT data updates in real time or hourly, monthly industry reports are released each month, and variety approval information is updated irregularly. Each document includes variety identifiers, planting regions, time dimensions, core parameters, and associated analysis content. Core parameters include yield per mu, growth cycle, soil pH value, effective accumulated temperature, and more, with corresponding units of kg/mu, day, dimensionless, and ℃·day.
Constraints Imposed by These Characteristics on Deployment and Upgrade
The multi-source heterogeneous nature of crop farming investment research data requires mixed parsing plugins that support structured tables, PDF reports, and IoT time-series data during the deployment phase. Data sources with different update rhythms need mixed scheduling rules configured for incremental and full synchronization. During the upgrade phase, scheduling intervals must be adjusted to adapt to the update requirements of real-time data and low-frequency reports. Parameters with special measurement units need mandatory standardization during the knowledge base parsing process to avoid unit confusion across documents. The coexistence of long-text trial records and short parameter entries in document structures requires personalized configuration of segment length and recall rules to balance parsing efficiency and information integrity.
How to Set Configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Single agricultural variety trial reports and monthly monitoring collections may contain tens of thousands of characters, requiring sufficient time for structured parsing |
UPLOAD_FILE_MAX_SIZE | 1024 MB | Compressed packages containing multiple batches of field IoT data and cross-year industry report collections can reach this size |
Segment Length | 800–1200 characters | Crop farming documents contain both long-text trial records and short parameter entries; this range balances long-text splitting and short parameter integrity |
Similarity Threshold | 0.72–0.80 | Differences in parameters across planting regions for the same variety must be distinguished. A threshold that is too low will introduce irrelevant data, while a threshold that is too high will result in insufficient recall |
Recall Count | Top 8–12 entries | Crop farming investment research requires coverage of multi-dimensional parameters. This quantity balances recall coverage and retrieval efficiency |
Incremental Sync Interval | Hourly | Field IoT data requires real-time synchronization, while industry reports are updated monthly. Hourly incremental synchronization balances real-time performance and resource usage |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume and business rules. Specific issues require targeted analysis, and testing should be conducted against samples specific to the deployment before finalizing settings.
Three Common Misconfigurations
- Issue: After deployment, 127.0.0.1 can access the platform normally, but other devices on the local network cannot load the page. Cause:
SERVER_HOSTwas not configured to 0.0.0.0, and only the local loopback address was bound. - Issue: After deploying version 4.9.0, the default QR code is displayed at the bottom of the page and cannot be hidden. Cause: The
SHOW_FOOTER_QRCODEconfiguration item was not set to false; footer QR code display is enabled by default. - Issue: After attempting cluster deployment, data synchronization between nodes fails, returning the
CLUSTER_CONNECT_FAILEDstatus code. Cause: TheCLUSTER_NODE_IPparameter for cluster nodes was not correctly configured, and network permissions for the corresponding port were not opened.
How to Verify Successful Configuration
- Access the configured local area network or public IP address. Verify the platform page loads normally to confirm the network binding configuration is active.
- Upload a crop farming document containing long-text trial records and structured parameters. Verify the parsing task completes and all fields are complete and free of missing values.
- Initiate a targeted investment research retrieval. Check the number of recall results and parameter matching accuracy to confirm the recall configuration meets expectations.
- Manually trigger an incremental synchronization task. Verify that IoT collected data is automatically synchronized to the knowledge base with no duplicate or missing entries.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.