| name | Yield Prediction Model |
| author | yieldai |
| version | 1.0.0 |
| type | agent |
| category | Agriculture |
| license | MIT |
| description | Predicts crop yields using satellite imagery, weather data, and historical production records |
| tags | ["agent","agriculture","ai","automation"] |
| models | ["gpt-4o","claude-3.5-sonnet","gemini-1.5-pro"] |
| parameters | {"temperature":{"type":"number","default":0.7,"min":0,"max":2,"description":"Controls randomness in output generation"},"max_tokens":{"type":"integer","default":4096,"min":256,"max":16384,"description":"Maximum number of tokens to generate"},"streaming":{"type":"boolean","default":false,"description":"Enable streaming output"}} |
| inputs | {"query":{"type":"string","required":true,"description":"Primary input for the skill"},"context":{"type":"object","required":false,"description":"Additional context for processing"}} |
| outputs | {"result":{"type":"string","description":"Primary output from the skill"},"metadata":{"type":"object","description":"Execution metadata including tokens used and latency"}} |
Yield Prediction Model
Predicts crop yields using satellite imagery, weather data, and historical production records
Usage
This skill can be used standalone or as part of an Agent workflow on SkillsHub.
Standalone
skillshub run yieldai/Yield-Prediction-Model --input "Your query here"
In Agent
Add this skill to your Agent configuration to enable its capabilities.
