Assign, track, and optimize farm worker tasks based on field priorities and weather.
AI AgentLLM ServerAgricultureWorkersIoT
0.5×← Perlahan · Cepat →
0%Stage 0 / 7 · Idle
💬Tekan Play Demo untuk lihat Farm Worker Task Agent.
Demo Complete — All Stages Generated
01 WhatsApp Command
🌱
OpenClaw — AINNA Agent
● Neural Link Active
02 Requirement Analysis
Tasks
8
Workers
6
Completed
3
Overdue
2
Menunggu Sedang aktif Selesai
03 Python Script Generation
1
📥
Ambil tugas ladangFetch pending farm tasks
2
👨🌾
Padankan pekerjaMatch workers to tasks
3
📅
Optimum jadualOptimize schedule by weather
4
📊
Laporan & alertTrack completion & overdue
import pandas as pd
from datetime import datetime
def assign_tasks():
tasks = pd.read_sql("SELECT * FROM pending_tasks ORDER BY priority DESC")
workers = pd.read_sql("SELECT * FROM workers WHERE available = 1")
assignments = []
for _, task in tasks.iterrows():
available = [w for w in workers.itertuples() if w.skill == task.skill_needed]
if available:
assignments.append({'task': task.name, 'worker': available[0].name, 'status': 'Assigned'})
return pd.DataFrame(assignments)
04 Block Diagram
Menunggu Sedang aktif Selesai
05 System Schematic
Menunggu Sedang aktif Selesai
Ensure fair workload distribution and respect worker rest periods.
06 Simulasi Worker Task Assignment
Mula Tugas
Tasks
0
Workers
0
Assigned
0
Overdue
0
07 Worker Task Report
Demo
Worker Tasks
Total Tasks
0
Workers
0
Completed
0
Status
Standby
Terminal Log
[SISTEM] Farm Worker Task Agent sedia
System Architecture
📱 Command Layer
WhatsApp instruction
🤖 Agent Layer
Task parser
Worker matcher
Schedule optimizer
🌾 Agriculture Layer
Task DB
Worker records
Weather data
Reports
Safety Notes
Ensure fair workload distribution and respect worker rest periods.