Data Structure for This Category
The data for intelligent due diligence reports in crop farming primarily comes from production logs submitted by agricultural producers, analysis results from satellite remote sensing monitoring images, and regional planting statistics publicly released by agricultural authorities. Data update frequencies vary by dimension: plot-level production data is updated weekly, while regional-level statistics are released monthly. A single due diligence report document includes fields such as plot ID, crop variety, planting cycle, per-mu input, expected yield, and pest and disease control records. Most units use standard agricultural production units like mu, kilogram, liter, and plant. Some regional data will include latitude and longitude coordinate fields.
Constraints Imposed on Workflow Orchestration
The multi-source and dispersed nature of crop farming data requires the workflow to be configured with multi-source data access nodes that support multiple formats including Excel logs, remote sensing image analysis files, and PDF statistical reports. The differing update frequencies of data across dimensions require the workflow to set up scheduled branches triggered weekly and monthly to pull plot-level and regional-level data respectively. Fields including latitude and longitude coordinates and specialized agricultural units require the workflow to include a pre-data cleaning node to complete unit standardization and coordinate format verification, as well as an entity association node to match plot IDs with corresponding production records and avoid data misalignment. Some raw data has non-standard submission entries, requiring the workflow to configure an outlier filtering node to remove values that clearly contradict common agricultural planting knowledge.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 900 seconds | Crop farming due diligence reports often contain high-resolution remote sensing image files, and the parsing time for a single file far exceeds that of regular text data |
UPLOAD_FILE_MAX_SIZE | 2048 MB | Single remote sensing image files have large file sizes, so upload limits need to be relaxed to fit this scenario |
data_sync_cycle | Weekly + Monthly | Plot-level production data is updated weekly, while regional-level statistics are released monthly, requiring different synchronization cycles to be set accordingly |
field_uniform_rule | Enable unit conversion | Crop farming data uses multiple unit expressions such as mu/hectare, kilogram/ton, so conversion to standard agricultural production units is required |
entity_match_threshold | 0.82–0.88 | Accurate matching of plot IDs with corresponding production records is needed; this threshold range balances matching precision and recall rate |
workflow_trigger_type | Scheduled trigger + Manual trigger | Routine scenarios automatically pull data on a scheduled basis, while temporary due diligence for specific plots requires manual workflow trigger support |
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 it is recommended to test on your own samples before finalizing settings.
Three Common Configuration Mistakes
- Issue: When uploading remote sensing images or large log files in the workflow, the interface displays
Failed to create post presigned url. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration item was not adjusted, and the file size exceeds the platform's default limit, causing pre-signed URL generation to fail. - Issue: Variable references in the knowledge base search node of the workflow are not correctly assigned, resulting in empty or unexpected return results. Cause: Business fields such as plot ID and crop variety were not correctly mapped to the query variables for knowledge base search, causing search keywords to be empty or incorrect.
- Issue: The workflow times out and terminates when reaching the file parsing node. Cause: The
PARSE_FILE_TIMEOUT_SECONDSvalue was not adjusted to fit large file sizes, and the default timeout duration is insufficient to complete remote sensing image parsing.
How to Confirm Proper Configuration
- Upload a single high-resolution remote sensing image file, check the upload progress and parsing results to confirm no upload errors are triggered.
- Manually trigger the workflow once, check whether the data pull node pulls datasets of the corresponding dimension according to the set cycle.
- View the output of the entity association node in the workflow to confirm that plot IDs and production records have been correctly matched.
- Export the generated due diligence report, check that all fields use standard agricultural production units.
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.