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π¬Tekan Main Demo untuk lihat Harvest Readiness Ejen.
Demo Selesai Semua Peringkat Dijana
01 WhatsApp Arahan
02 Analisis Keperluan
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03 Penjanaan Skrip Python
1
π₯
Ambil data tanamanFetch crop maturity data
2
πΎ
Nilai kematanganAssess readiness score
3
π
Anggar hasilEstimate yield per field
4
π
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 Rajah Blok
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05 Skema Sistem
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Conduct physical field sampling before confirming harvest dates.
06 Simulasi Kesediaan Tuai
Mula Penilaian
07 Kesediaan Tuai Report
Log Terminal
[SISTEM] Harvest Readiness Ejen sedia
Seni Bina Sistem
π€ Lapisan Ejen
Crop parser
Readiness analyzer
Yield estimator
πΎ Pertanian Lapisan
Field DB
Crop records
Weather data
Laporan
Nota Keselamatan
- Conduct physical field sampling before confirming harvest dates.
- Configure role-based access untuk crop data.
- Audit all readiness assessments untuk compliance.
- Demo pelayar menggunakan data simulasi sahaja.