0.5×← Perlahan · Cepat →
💬Tekan Play Demo untuk lihat Pest Observation Log Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
02 Requirement Analysis
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03 Python Script Generation
1
📥
Ambil log pestFetch field pest observations
2
🦗
Analisis seranganAnalyze infestation patterns
3
🧱
Cadang kawalanRecommend control measures
4
📊
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 Block Diagram
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05 System Schematic
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Always verify pest identification before applying control measures.
06 Simulasi Pest Observation
Mula Log
07 Pest Observation Report
Terminal Log
[SISTEM] Pest Observation Log Agent sedia
System Architecture
🤖 Agent Layer
Observation parser
Pattern analyzer
Control recommender
🌾 Agriculture Layer
Field DB
Pest database
Treatment records
Reports
Safety Notes
- Verify pest identification before applying control measures.
- Configure role-based access for pest data.
- Audit all pest control actions for compliance.
- Browser demo uses simulated data only.