Smart Forest Management
Smart sensor-based technology allows stakeholders to monitor forest,
remotely on a real-time basis.

Detecting Forest Fires

ARNOWA’s forest management solution makes use of various smart sensors and integrates their reading with an image and video analytics platform to build models.

These models detect devastating situations such as forest fires, and illegal logging through artificial intelligence and machine learning, which generates real-time alerts.

ARNOWA allows to monitor the forest and its resources on a real-time basis and sends alerts when any critical situation occurs, helping various stakeholders to take necessary action in time.

forest-fire-432870_1920
sauerland-2873920_1920

Sensor-based Forest Health Monitoring

Forests are very important as they provide timber, capture carbon, control flood, filters water, purify the air, provides food and medicine, and maintain biodiversity, hence, managing forest is very important.

Arnowa’s smart sensors networks help to monitor forest health by monitoring forest fires, pest infestation, fuel loads, and soil health.

Real-time information and alerts generated by Arnowa’s powerful analytics platform helps proper management and sustaining forest resource utilization.

Unique Features

  • Real-time monitoring and fire alerts
  • AI, ML, image processing and video analytics
  • Monitoring of endangered species
  • Integrated Solar PV and Battery for independent operation

Benefits

  • Reduced dependency on person
  • Effectively monitor forest remotely
  • Monitor whole forest from a single screen

Areas of Application

  • Monitoring forest fire
  • Deforestation monitoring
  • Integrated forest and wildlife resource management

Use Cases

Contact Us

For any queries or comments, please feel free to write to us using the Contact Form. We will aim to get back to you within two working days.
Contact Us
arnowa logo (1)

Australia : 6/18 Blackly Row, Cockburn Central, Western Australia, 6164

Australia : Suite 48/Level 4, 80 Market Street, South Melbourne, Victoria, 3205

Indonesia : Kedungdoro, 80 C Surabaya, Indonesia 60251

India : B-379, Sector -19, Dwarka, New Delhi, India 110075