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: 1.0.1
Category: Agriculture / Analytics
Billing: SkillPay (1 token per call, ~0.001 USDT)
Free Trial: 10 free calls per user
A big data-driven agricultural product output forecasting tool that helps farmers, agronomists, and agricultural businesses predict crop yields and production outputs.
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.
from scripts.forecast import forecast_output
import os
# Set environment variables (only needed after trial)
os.environ["SKILL_BILLING_API_KEY"] = "your-api-key"
os.environ["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"])