Farm Dashboard
Monitor your investments, track crop health, and view projected returns.
Kedah
Rice Bowl of Malaysia
Agricultural Profile
Accounts for ~50% of Malaysia total rice production
Logistics to Singapore
North-South Expressway (NSE, ~800+ km) โ Johor Bahru / Woodlands / Tuas Checkpoints
Export Crops to Singapore
Red Bird's Eye Chili (Cili Padi)
Vegetables
SGD 4.50 - 7.00/
Harum Manis / Chokanan Mango
Fruits
SGD 3.00 - 5.50/
Cost Breakdown
Red Bird's Eye Chili (Cili Padi) | Kedah | 1 acre
ROI Analysis
Red Bird's Eye Chili (Cili Padi) exported to Singapore from Kedah
SGD 3,175
SGD 20,125
SGD 16,950
534%
Real-time field intelligence
Monitor every metric across your plots โ yield, health, water usage, pest activity, and growth rates โ all updated live from field sensors and satellite feeds.
Weekly Yield
kg harvested per day this week
Crop Health by Variety
AI-derived health scores per crop type
Self-recharging drone fleet
Autonomous pollination drones that monitor battery levels, return to solar charging stations, and redeploy โ operating 24/7 without human intervention.
Solar Self-Recharge
Drones autonomously return to solar-powered docking stations when below 20% โ no manual intervention.
Precision Pollination
Flight paths optimized per crop type with micro-nozzle pollen dispersal for maximum fruit set.
Swarm Coordination
Multiple drones coordinate coverage zones in real-time โ no overlap, no missed rows.
Night Operation
Infrared navigation enables pollination during optimal nocturnal windows for certain crops.
Fleet Status
6 drones deployed across 4 plots
Pollinating millet rows 1-24
Pollinating tomato rows 8-16
Solar recharging โ ETA 18 min
Pollinating strawberry rows 1-12
Pollinating chili rows 4-20
Awaiting dispatch
Computer vision stress scouting
AI-powered cameras scan every row for disease, nutrient deficiency, water stress, and pest damage โ predicting yield outcomes before harvest.
Live Stress Alerts
Kedah Plot A Row 12
Early blight detected on tomato leaves โ irregular brown lesions with concentric rings.
Perlis Highland Row 8
Chlorosis pattern on lower millet leaves โ likely nitrogen deficiency.
Java West Plot Chili
Leaf curling and wilting detected โ irrigation schedule adjustment recommended.
Cameron Terrace Row 4
Strawberry plants entering flowering stage โ pollination drone dispatch recommended.
Yield Predictions
3,200 kg
4,800 kg
1,800 kg
2,600 kg
900 kg
1,400 kg
600 kg
720 kg
How Computer Vision Scouting Works
High-resolution field cameras capture leaf-level imagery every 15 minutes. A trained CV model analyzes color, texture, and shape patterns to detect disease, nutrient deficiency, water stress, and pest damage โ triggering alerts before visible symptoms reach human detection thresholds.
Secured IP camera field view
Monitor daily labor activity on every field through encrypted IP cameras โ with real-time worker tracking, motion detection, and tamper-proof audit logs.
End-to-End Encryption
AES-256 at rest, TLS 1.3 in transit โ zero plain-text exposure.
Role-Based Access
Field managers, auditors, and owners each get different view permissions.
Tamper-Proof Logs
All camera events are hashed and time-stamped on an immutable audit trail.
On-Premise Option
Run the entire camera stack locally โ no cloud dependency required.
Camera Fleet
North Field Gate
Kedah Plot A
Main Processing Area
Kedah Storage
South Paddy Fields
Kedah Plot B
Cameron Terrace View
Cameron Highlands
Java Processing Hub
West Java
Bali Organic Terrace
Bali
Today's Activity Log
Field crew arrived โ 4 workers checked in at North Field Gate
Harvesting began on millet rows 1-12 โ 3 workers active
Break time โ all workers returned to processing area
Afternoon shift started โ 2 workers deployed to pest scouting
Quality inspection โ supervisor verified 240 kg batch
Field maintenance โ irrigation line repair on row 8