🌱
Monitor conditions
Collect soil moisture, temperature and humidity readings using suitable sensors.
YIP INVENTION SHOWCASE · CONCEPT STAGE
Every plant deserves a watchful eye.
AGROGUARD is a proposed smart agriculture system that combines a mobile crop-monitoring rover, a fixed sensor station and useful alerts to help farmers monitor field conditions.
● FIELD MONITORING
Sensor station concept
☀ SOLAR ASSISTED
Charging dock in development
01 / THE MISSION
Less guesswork. Better field information.
Help farmers notice changing crop conditions by combining sensor readings, scheduled inspections and organised records.
🛞
Patrol the field
A rover could follow defined crop paths, inspect selected locations and capture plant images.
🔔
Receive useful alerts
Highlight unusual readings and suggest what the farmer should check next.
PROPOSED SYSTEM ARCHITECTURE
01 · FIELD SENSORS
Soil moisture · Temperature · Humidity
02 · MOBILE ROVER
Scheduled patrol · Images · Location records
03 · FIXED STATION
Receives readings and stores events
04 · ALERT DASHBOARD
Local warnings and phone alerts when connected
02 / HOW IT WORKS
Two parts. One clearer view of the farm.
The station monitors connected sensors while the rover performs scheduled mobile inspections.
A
Fixed station
Collects readings and can raise a local warning.
B
Mobile rover
Checks selected spots and can return to a dock when its battery is low.
C
Farmer dashboard
Shows recorded readings and warnings. Remote access requires connectivity.
03 / SOLAR POWER
Designed to explore solar-assisted operation.
A solar panel, charge controller and protected battery could power the station or support rover charging.
1
Harvest sunlight
Use a suitable solar panel and charge controller.
2
Monitor battery level
Plan patrols around available energy.
3
Explore automatic docking
Test navigation, charging contacts and safe restart behaviour.
Solar power cannot guarantee continuous operation. Actual runtime depends on sunlight, battery capacity and power use.
ENERGY FLOW
☀️
Solar Panel
Charge Controller
Protected Battery
Station / Rover
04 / PROPOSED DIFFERENTIATOR
The Plant Passport.
Keep a history for each identified plant or field zone so changing conditions can be easier to notice.
AGROGUARD / PLANT RECORD
Zone P-01
Illustrative values for the website demo, not real measurements.
Soil moisture
42%
Last check
09:40
Trend
Monitor
Record ID
AG-001
Observation history
Example entries for demonstration.
09:40 · Today
Moisture reading recorded
● Watch
Moisture reading recorded
● Watch
07:20 · Today
Routine patrol logged
● Recorded
Routine patrol logged
● Recorded
Yesterday
Plant image captured for review
● Recorded
Plant image captured for review
● Recorded
The Plant Passport is a proposed feature. Its usefulness and distinctiveness must be evaluated through testing and farmer feedback.
05 / INTERACTIVE DEMO
Explore the sample dashboard.
Select a scenario to see how the interface could respond. These readings are simulated, not connected to real sensors.
AGROGUARD / FARM OVERVIEW
● SIMULATION MODE
Field monitoring console
Soil moisture
42%
Example range
Temperature
29°C
Demo reading
Rover status
Patrol
Route P-01
Battery
76%
Demo status
System messages
✓ Routine patrol logged
Example route P-01 was checked in the demo.
☀ Solar charging concept
Docking and charging still require testing.
Field Conditions (7-day trend)
Battery Level
Demonstration only. Thresholds must be selected for the actual crop and soil type.
06 / DEVELOPMENT ROADMAP
Build. Test. Improve. Validate.
The next step is to prove the concept using a real prototype and field testing.
PHASE 01
Core prototype
Test sensors, rover movement and communication.
PHASE 02
Alert system
Build a dashboard and warning history.
PHASE 03
Solar + docking
Measure battery runtime and docking reliability.
PHASE 04
Field testing
Collect farmer feedback and test on real crop rows.
YIP JUDGE SUMMARY
AGROGUARD turns field observations into organised decisions.
The proposed system combines scheduled mobile crop checks, fixed-station sensing, solar-assisted energy planning and location-based observation history. Prototype testing will determine its practical performance and usefulness to farmers.
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