What the data for this category looks like
Agrochemical data primarily comes from pesticide registration announcements issued by the Ministry of Agriculture and Rural Affairs, enterprise production record ledgers, field trial reports, and dealer sales ledgers. Data update frequency varies by business scenario: newly registered products are updated alongside annual approval cycles, dealer monthly sales data is synchronized monthly, and field trial data is updated based on crop growth cycles. Document structures primarily use structured forms, including fields such as product name, registration certificate number, active ingredient content, applicable crops, recommended application rate, and pre-harvest interval. Active ingredient content units are mostly g/L or %, while recommended application rate units are mostly g/mu or mL/hm².
What constraints these characteristics impose on the forms and interactions link
The specialized fields and fixed unit requirements for agrochemicals mean forms must pre-configure specialized term options, and avoid open input to prevent users from entering non-standard terms. Data updates alongside approval and growth cycles mean the interaction link must associate the latest recorded data in real time, to avoid using expired information. Different formulations correspond to different application rate units, so forms must automatically switch unit options based on formulation to reduce user input errors. Fixed format prefixes exist for registration certificate numbers, so the interaction link must automatically validate format validity and block invalid input.
How to set configurations
| Configuration Item | Recommended Setting | Rationale | ||
|---|---|---|---|---|
form_field_validation_rule | Configure the regex `^[0-9.]+(g/L | %)$ for active ingredient fields, and ^[0-9.]+(g/亩 | mL/hm²)$` for application rate fields | Matches standard format requirements for agrochemical active ingredients and application rates |
recall_top_k | Top 6 results | Covers marketing content needs for common crop, formulation, and application rate combinations | ||
text_extract_threshold | 0.85 | Agrochemical specialized terms have high recognition accuracy; a too-low threshold may extract irrelevant content | ||
conversation_wait_trigger | Trigger when text_extract returns an empty result | Adapts to scenarios where the session waits for user supplementary information after extraction failure | ||
re_rank_return_count | Top 3 results | Controls the number of precise results returned after re-ranking, to avoid information overload | ||
form_unit_switch | Automatically switch application rate units based on formulation (powder/liquid/granule) | Matches application rate unit specifications for different agrochemical formulations |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against your own samples before finalizing settings.
Three common mistakes
- Symptom: No specified prompt appears after text extraction fails, and the conversation ends directly. Cause: The
conversation_wait_triggerparameter is not configured, so the session is not suspended to wait for user input after extraction fails. - Symptom: After enabling the re-ranking model, the number of returned results does not match the configuration. Cause: The value of the
re_rank_return_countparameter is greater than that of therecall_top_kparameter, resulting in configuration conflict. - Symptom: Unit mixing errors occur after form submission, such as a powder product using mL/hm² as the application rate unit. Cause: The
form_unit_switchparameter is not configured, and the corresponding unit is not automatically switched based on formulation.
How to confirm configurations are set correctly
- Upload a complete agrochemical product record document, and check whether the
text_extractmodule correctly extracts core fields such as active ingredient content and application rate. - Manually trigger a text extraction failure scenario, and check whether a preset prompt appears and the system enters a waiting state, with normal continuation of the conversation after user input is received.
- After enabling the re-ranking model, check whether the number of returned results matches the
re_rank_return_countconfiguration, with no excess or missing results. - Submit a test form containing different formulations, and check whether the application rate unit automatically matches and switches based on the formulation, with no format errors.
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.