0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Fertilizer Schedule Assistant.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Ambil data ladangFetch field & crop data
2
🧬
Kira jadual bajaCalculate NPK schedule
3
⚠️
Semak lebihanDetect over/under fertilizing
4
📊
Laporan & alertGenerate schedule report
import pandas as pd
from datetime import datetime, timedelta
def calc_fertilizer(field_id, crop, last_apply):
req = pd.read_sql("SELECT npk FROM crop_requirements WHERE crop = ?", crop)
days_since = (datetime.now() - last_apply).days
if days_since >= 14:
return f"Apply {req} - overdue by {days_since-14} days"
elif days_since >= 10:
return f"Apply {req} - due soon"
return f"Next application in {14-days_since} days"
04 Block Diagram
Menunggu Sedang aktif Selesai
05 System Schematic
Menunggu Sedang aktif Selesai
Always verify fertilizer type and dosage before field application.
06 Simulasi Fertilizer Schedule
Mula Jadual
07 Fertilizer Report
Terminal Log
[SISTEM] Fertilizer Schedule Assistant sedia
System Architecture
🤖 Agent Layer
Field data parser
NPK calculator
Schedule optimizer
🌾 Agriculture Layer
Field DB
Crop records
Weather API
Reports
Safety Notes
- Verify fertilizer type and dosage before field application.
- Configure role-based access for crop data.
- Audit all schedule changes for compliance.
- Browser demo uses simulated data only.