SkillHub

agricultural-output-forecasting

v1.3.0

Agricultural Product Output Forecasting Based on Big Data. Predicts crop yields and agricultural output using historical data, weather patterns, and market trends. Use when forecasting agricultural production, estimating crop yields, analyzing farming trends, or making data-driven decisions in agric...

Sourced from ClawHub, Authored by joe

Installation

Please help me install the skill `agricultural-output-forecasting` from SkillHub official store. npx skills add Andyxcg/agricultural-output-forecasting

Agricultural Output Forecasting

Version: 1.1.0
Category: Agriculture / Analytics
Billing: SkillPay (1 token per call, ~0.001 USDT)
Free Trial: 10 free calls per user
Demo Mode: ✅ Available (no API key required)

A big data-driven agricultural product output forecasting tool that helps farmers, agronomists, and agricultural businesses predict crop yields and production outputs.

Features

  1. Yield Prediction - Forecast crop yields based on historical data and current conditions
  2. Weather Impact Analysis - Factor in weather patterns and climate data
  3. Market Trend Integration - Consider market prices and demand trends
  4. Multi-Crop Support - Support for various agricultural products (grains, vegetables, fruits, etc.)
  5. SkillPay Billing - Pay-per-use monetization (1 token per call, ~0.001 USDT)
  6. Free Trial - 10 free calls for every new user
  7. Demo Mode - Try without API key, returns simulated forecasts
  8. Historical Data - Track and compare with past forecasts
  9. CSV Export - Export forecast data to CSV format
  10. Multi-language Support - Chinese and English output

Support / 支持

If you find this skill helpful, you can support the developer:

EVM Address: 0xf8ea28c182245d9f66f63749c9bbfb3cfc7d4815

Your support helps maintain and improve this skill!

Demo Mode

Try the skill without any API key:

python scripts/forecast.py --demo --crop wheat --area 100 --region "华北平原" --season spring

Demo mode returns realistic simulated agricultural forecasts to demonstrate the output format.

Free Trial

Each user gets 10 free calls before billing begins. During the trial: - No payment required - Full feature access - Trial status returned in API response

{
    "success": True,
    "trial_mode": True,      # Currently in free trial
    "trial_remaining": 7,    # 7 free calls left
    "balance": None,         # No balance needed in trial
    "forecast": {...}
}

After 10 free calls, normal billing applies.

Quick Start

Demo Mode (No API Key):

python scripts/forecast.py --demo --crop wheat --area 100 --region "华北平原" --season spring

Forecast agricultural output:

from scripts.forecast import forecast_output
import os

# Set environment variables (only needed after trial)
os.environ["SKILLPAY_API_KEY"] = "your-api-key"
os.environ["SKILLPAY_SKILL_ID"] = "your-skill-id"

# Forecast wheat yield
result = forecast_output(
    crop_type="wheat",
    area_hectares=100,
    region="North China Plain",
    season="spring",
    user_id="user_123"
)

# Check result
if result["success"]:
    print("预测产量:", result["forecast"])
    if result.get("trial_mode"):
        print(f"免费试用剩余: {result['trial_remaining']} 次")
    else:
        print("剩余余额:", result["balance"])
else:
    print("错误:", result["error"])
    if "paymentUrl" in result:
        print("充值链接:", result["paymentUrl"])

View Forecast History:

python scripts/forecast.py --history --limit 10

Export to CSV:

python scripts/forecast.py --history --limit 20 --export forecasts.csv

Language Selection:

# Chinese output (default)
python scripts/forecast.py --crop rice --area 50 --region "长江三角洲" --season summer --user-id "user_123" --language zh

# English output
python scripts/forecast.py --crop rice --area 50 --region "Yangtze Delta" --season summer --user-id "user_123" --language en

Environment Variables

This skill requires the following environment variables:

Required Variables (After Trial)

Variable Description Required Example
SKILLPAY_API_KEY Your SkillPay API key for billing After trial skp_abc123...
SKILLPAY_SKILL_ID Your Skill ID from SkillPay dashboard After trial skill_def456...

Optional Variables

Variable Description Default
OPENWEATHER_API_KEY OpenWeatherMap API key for weather data -
WEATHERAPI_KEY WeatherAPI key for alternative weather data -
USDA_API_KEY USDA API key for US agricultural data -
OPENAI_API_KEY OpenAI API key for enhanced forecasting -
CACHE_DURATION_MINUTES Cache duration for weather/market data 60
MAX_FORECAST_AREA Maximum area in hectares per request 10000

See .env.example for a complete list of environment variables.

Configuration

The skill uses SkillPay billing integration: - Provider: skillpay.me - Pricing: 1 token per call (~0.001 USDT) - Chain: BNB Chain - Free Trial: 10 calls per user - Demo Mode: Available without API key - API Key: Set via SKILLPAY_API_KEY environment variable - Skill ID: Set via SKILLPAY_SKILL_ID environment variable - Minimum deposit: 8 USDT

Supported Crops

  • Grains: wheat, rice, corn, barley, sorghum
  • Vegetables: tomato, potato, cabbage, cucumber
  • Fruits: apple, orange, grape, peach
  • Others: soybean, cotton, sugarcane

Output Format

Forecast results include: - Predicted yield (tons/hectare) - Confidence interval - Weather impact factor - Market price prediction - Risk assessment - Recommendations - Historical comparison

Response Format

{
    "success": True,
    "demo_mode": False,         # True if in demo mode
    "trial_mode": False,        # True during free trial
    "trial_remaining": 0,       # Remaining free calls
    "balance": 95.5,            # User balance (None during trial/demo)
    "forecast": {
        "forecast_id": "AGR_20240306120000",
        "crop_type": "wheat",
        "yield_forecast": {...},
        "risk_assessment": {...},
        "recommendations": [...],
        "historical_comparison": {...}
    }
}

Security Considerations

Data Privacy

  • Agricultural data is treated as confidential business information
  • No personally identifiable information (PII) is collected
  • Weather and market data is cached to minimize API calls

API Key Security

  • Never commit API keys to version control
  • Use environment variables for all sensitive configuration
  • Rotate API keys regularly

References

  • For forecast methodology: see references/forecast-methodology.md
  • For billing API details: see references/skillpay-billing.md
  • For full documentation: see README.md

Changelog

v1.1.0

  • Added demo mode (no API key required)
  • Added forecast history tracking
  • Added CSV export functionality
  • Added historical data comparison
  • Added multi-language support (zh/en)
  • Unified environment variable naming to SKILLPAY_API_KEY and SKILLPAY_SKILL_ID

v1.0.1

  • Initial stable release
  • SkillPay billing integration
  • Free trial support