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π¬Tekan Main Demo untuk lihat Pest Observation Log Ejen.
Demo Selesai Semua Peringkat Dijana
01 WhatsApp Arahan
02 Analisis Keperluan
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03 Penjanaan Skrip Python
1
π₯
Ambil log pestFetch field pest observations
2
π¦
Analisis seranganAnalisis infestation corak
3
π§±
Cadang kawalanRecommend control measures
4
π
Laporan & alertGenerate pest log report
import pandas as pd
def assess_pest_risk(field_id):
obs = pd.read_sql("SELECT * FROM pest_observations WHERE field_id = ?", field_id)
severity = 0
for _, row in obs.iterrows():
if row['pest_type'] in ['Aphid','Locust']: severity += 3
elif row['pest_type'] in ['Caterpillar','Thrip']: severity += 2
if row['population'] > 100: severity += 2
return 'Critical' if severity > 8 else 'High' if severity > 5 else 'Moderate' if severity > 2 else 'Low'
04 Rajah Blok
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05 Skema Sistem
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Always verify pest identification before applying control measures.
06 Simulasi Pest Observation
Mula Log
07 Pest Observation Report
Log Terminal
[SISTEM] Pest Observation Log Ejen sedia
Seni Bina Sistem
π€ Lapisan Ejen
Observation parser
Pattern analyzer
Control recommender
πΎ Pertanian Lapisan
Field DB
Pest database
Treatment records
Laporan
Nota Keselamatan
- Verify pest identification before applying control measures.
- Configure role-based access untuk pest data.
- Audit all pest control actions untuk compliance.
- Demo pelayar menggunakan data simulasi sahaja.