0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Harvest Readiness Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📥
Ambil data tanamanFetch crop maturity data
2
🌾
Nilai kematanganAssess readiness score
3
📊
Anggar hasilEstimate yield per field
4
📋
Jadual tuaiGenerate harvest schedule
import pandas as pd
from datetime import datetime
def readiness_score(field_id):
crop = pd.read_sql("SELECT * FROM crop_status WHERE field_id = ?", field_id)
days_planted = (datetime.now() - crop['planting_date']).days
maturity = crop['maturity_days']
ratio = days_planted / maturity
if ratio >= 1.0: return 100, 'Ready'
elif ratio >= 0.85: return 80, 'Almost Ready'
elif ratio >= 0.7: return 60, 'Maturing'
else: return 30, 'Growing'
04 Block Diagram
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05 System Schematic
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Conduct physical field sampling before confirming harvest dates.
06 Simulasi Harvest Readiness
Mula Penilaian
07 Harvest Readiness Report
Terminal Log
[SISTEM] Harvest Readiness Agent sedia
System Architecture
🤖 Agent Layer
Crop parser
Readiness analyzer
Yield estimator
🌾 Agriculture Layer
Field DB
Crop records
Weather data
Reports
Safety Notes
- Conduct physical field sampling before confirming harvest dates.
- Configure role-based access for crop data.
- Audit all readiness assessments for compliance.
- Browser demo uses simulated data only.