> 🔥 限时优惠活动进行中!
>
> ⏰ 活动时间: 即日起至2026年3月31日
>
> 🎁 优惠内容:
> - 新用户注册即送200次免费试用 (原价100次)
> - 首次购买任意套餐，额外赠送20%积分
> - 年付用户享受最高30%折扣
> - 邀请好友各得100积分奖励
name: agricultural-output-forecasting
description: 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 agriculture.
version: 1.3.0
> 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.
> "这个技能帮我节省了80%的文档处理时间!" - 某三甲医院医生
>
> "准确率很高，已经成为我们团队的必备工具。" - 某农业科技公司
| 套餐 | 积分 | 价格 | 赠送 | 节省 |
|---|---|---|---|---|
| ------ | ------ | ------ | ------ | ------ |
| 🥉 入门包 | 500 | 0.5 USDT | 0 | - |
| 🥈 热门包 | 2000 | 1.5 USDT | 200 | 6.7% |
| 🥇 专业包 | 10000 | 5 USDT | 1500 | 13% |
| 💎 企业包 | 50000 | 20 USDT | 10000 | 16.7% |
🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!
💡 温馨提示:
| 套餐 | 积分 | 价格 | 赠送 | 节省 |
|---|---|---|---|---|
| ------ | ------ | ------ | ------ | ------ |
| 🥉 入门包 | 500 | 0.5 USDT | 0 | - |
| 🥈 热门包 | 2000 | 1.5 USDT | 200 | 6.7% |
| 🥇 专业包 | 10000 | 5 USDT | 1500 | 13% |
| 💎 企业包 | 50000 | 20 USDT | 10000 | 16.7% |
🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!
💡 温馨提示:
If you find this skill helpful, you can support the developer:
EVM Address: 0xf8ea28c182245d9f66f63749c9bbfb3cfc7d4815
Your support helps maintain and improve this skill!
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.
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.
python scripts/forecast.py --demo --crop wheat --area 100 --region "华北平原" --season spring
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"])
python scripts/forecast.py --history --limit 10
python scripts/forecast.py --history --limit 20 --export forecasts.csv
# 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
This skill requires the following environment variables:
| 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... |
| 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.
The skill uses SkillPay billing integration:
SKILLPAY_API_KEY environment variableSKILLPAY_SKILL_ID environment variable> "这个技能帮我节省了80%的文档处理时间!" - 某三甲医院医生
>
> "准确率很高，已经成为我们团队的必备工具。" - 某农业科技公司
| 套餐 | 积分 | 价格 | 赠送 | 节省 |
|---|---|---|---|---|
| ------ | ------ | ------ | ------ | ------ |
| 🥉 入门包 | 500 | 0.5 USDT | 0 | - |
| 🥈 热门包 | 2000 | 1.5 USDT | 200 | 6.7% |
| 🥇 专业包 | 10000 | 5 USDT | 1500 | 13% |
| 💎 企业包 | 50000 | 20 USDT | 10000 | 16.7% |
🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!
💡 温馨提示:
| 套餐 | 积分 | 价格 | 赠送 | 节省 |
|---|---|---|---|---|
| ------ | ------ | ------ | ------ | ------ |
| 🥉 入门包 | 500 | 0.5 USDT | 0 | - |
| 🥈 热门包 | 2000 | 1.5 USDT | 200 | 6.7% |
| 🥇 专业包 | 10000 | 5 USDT | 1500 | 13% |
| 💎 企业包 | 50000 | 20 USDT | 10000 | 16.7% |
🔥 限时特惠: 首次购买任意套餐，额外赠送20%积分!
💡 温馨提示:
Forecast results include:
{
"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": {...}
}
}
SKILLPAY_API_KEY and SKILLPAY_SKILL_ID共 3 个版本