DATA COLLECTIONS TOOLS

Drone

Drones captures imagery data on higher proximity, providing detailed imageries to monitor crop growth and plant population.

Satellite

Utilize processed information from collected data to enhance workflow, improve efficiency, and productivity

Sensor

Conduct micro climate segmentation on 400m2 radius and also allow near real-time analysis of radiation, moisture,temperature and weather.

Drone

Drones captures imagery data on higher proximity, providing detailed imageries to monitor crop growth and plant population.

Nano Satellite

Utilize processed information from collected data to enhance workflow, improve efficiency, and productivity

Sensor

Conduct micro climate segmentation on 400m2 radius and also allow near real-time analysis of radiation, moisture,temperature and weather.

Geographic Information System

 

Other variable

Productivity, area size, farmer, and other relevant variable to complete field data

 
 

NDVI

Processed imagery data that provide eld anomalies and crop condition.

 
 

Soil segmentation

Provide soil prole distribution across the area for commodity planting consideration

 
 

Weather segmentation

Provide weather condition distribution across the area for commodity planting consideration

 
 

Field Condition

Real field condition with cultivation process

 

Field Condition

Real field condition with cultivation process

Weather segmentation

Provide weather condition distribution across the area for commodity planting consideration

Soil segmentation

Provide soil prole distribution across the area for commodity planting consideration

NDVI

Processed imagery data that provide eld anomalies and crop condition.

Other variable

Productivity, area size, farmer, and other relevant variable to complete field data


Our Methodology

Big Data Analytics

HARA utilise big data technology that integrates collective agronomics knowledge and real time field condition from various eligible sources. The complex data then combined and processed to produce relevant information that help better decision making for farming activity.

Dynamic Modelling

HARA’s calculation modelling is designed to adapt with local landscape and weather condition diversity. Collective intelligence and adaptive modelling continuously refine the system by learning from updated collected data to bring the best solution for specific cases in the field.