Agricultural Output Forecasting

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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

🌟 用户好评

📈 数据统计

Pricing / 定价 💰

🎁 免费试用 (Free Trial)

💎 基础版 (Basic) - 最受欢迎!

⭐ 专业版 (Pro) - 性价比之王!

🏢 企业版 (Enterprise)

🎫 积分包 (Credit Packages) - 灵活选择!

🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!

💡 温馨提示:

🎁 免费试用 (Free Trial)

💎 基础版 (Basic) - 最受欢迎!

⭐ 专业版 (Pro) - 性价比之王!

🏢 企业版 (Enterprise)

🎫 积分包 (Credit Packages) - 灵活选择!

🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!

💡 温馨提示:

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:

{
    "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:

🌟 用户好评

📈 数据统计

Pricing / 定价 💰

🎁 免费试用 (Free Trial)

💎 基础版 (Basic) - 最受欢迎!

⭐ 专业版 (Pro) - 性价比之王!

🏢 企业版 (Enterprise)

🎫 积分包 (Credit Packages) - 灵活选择!

🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!

💡 温馨提示:

🎁 免费试用 (Free Trial)

💎 基础版 (Basic) - 最受欢迎!

⭐ 专业版 (Pro) - 性价比之王!

🏢 企业版 (Enterprise)

🎫 积分包 (Credit Packages) - 灵活选择!

🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!

💡 温馨提示:

Supported Crops

Output Format

Forecast results include:

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

API Key Security

References

Changelog

v1.1.0

v1.0.1

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

The skill uses SkillPay billing integration:

🌟 用户好评

📈 数据统计