What Data for This Category Looks Like
Data sources for crop farming intelligent due diligence reports include public monitoring datasets from agricultural and rural affairs departments, internal ledgers of planting bases, analysis results of satellite remote sensing images, real-time observation data from meteorological stations, and more. Update rhythms vary across sources: basic planting ledgers are updated quarterly, meteorological and remote sensing data are updated daily, and pest and disease monitoring records are updated weekly.
The document structure of a single report includes text analysis pages, multi-dimensional growth charts, original test report PDFs. Some reports include hundreds of pages of historical planting operation record documents. Fields include plot number, crop variety name, growth stage, single irrigation water volume, fertilizer type and dosage, meteorological observation period, satellite image capture date, and more. Some fields use agricultural-specific units such as cubic meters, kilograms, degrees Celsius, days.
Constraints on Tool Calling and Plugins From These Characteristics
Multiple heterogeneous data sources require tool calling to integrate with different types of APIs and plugins, including remote sensing analysis plugins, meteorological data retrieval plugins, and ledger database query plugins.
The presence of long documents and large-volume attachments requires adjusting tool calling configurations to support large file parsing and upload limits, preventing task interruptions caused by default restrictions.
Agricultural-specific fields and units require plugins to support custom parsing rules to complete field normalization and standardization.
Differences in update frequencies across data sources require configuring differentiated scheduled calling cycles, avoiding resource waste from frequent calls to low-update-frequency data sources.
The dependency order of tool calling must be clearly defined. For example, meteorological data must first be retrieved to calculate accumulated temperature, then combined with planting ledgers to generate growth analysis conclusions. Otherwise, data logic errors will occur.
How to Configure Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600–900 seconds | Crop farming due diligence reports often include hundreds of pages of historical planting record PDFs, with parsing times far exceeding standard documents, so extended timeout periods are required |
UPLOAD_FILE_MAX_SIZE | 2000–5000 MB | Individual due diligence reports include attachments such as remote sensing images and original test reports, with file volumes exceeding general document limits |
maxContext | 8000–12000 characters | Snippets of long planting ledger documents must be fully loaded to avoid truncation of critical planting data |
TOOL_CALL_TIMEOUT | 300 seconds | Multi-source data calling requires sequential completion of remote sensing analysis, meteorological data retrieval, and ledger queries, resulting in a longer total calling duration |
custom_parse_rules | Configure agricultural-specific field mappings | Crop farming data includes specialized units such as mu yield, accumulated temperature, and irrigation water volume, so custom rules are required to complete field normalization |
plugin_execution_retry_count | 2 times | Some agricultural data source APIs are affected by network fluctuations, so retry counts must be configured to ensure calling success rates |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- An error is triggered when using the doc2x plugin to parse hundreds of pages of crop farming due diligence report PDFs, while parsing similar documents with tens of pages works normally. The
PARSE_FILE_TIMEOUT_SECONDSconfiguration was not adjusted, so large file parsing exceeded the default timeout threshold and was interrupted. - When deploying the pdf-marker 4.9.0 plugin locally, the parsing API call returns the error
Cannot read properties of undefined (reading 'xxx'). This occurs because the environment variables required by the plugin were not configured, or the model interface address was not mapped correctly during local deployment. - After configuring a multi-tool calling workflow, the parsing results for dedicated fields in due diligence reports are empty. This occurs because the
custom_parse_rulesconfiguration was not enabled, so the unit and naming rules for crop farming-specific fields could not be recognized, leading to parsing failure.
How to Verify Successful Configuration
- Upload a PDF file matching the scale of a crop farming due diligence report, and check whether the parsing process completes within a reasonable duration without interruptions or errors.
- Manually trigger a complete multi-tool calling workflow, and verify that the return results of each plugin include crop farming-specific fields, with no null values or parsing errors.
- Review tool calling logs to confirm that the execution duration of each plugin does not exceed the configured timeout threshold, and that retry counts match the preset requirements.
- Test large-volume attachment uploads to confirm that no file size limit error is triggered during the upload process.
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.