Optimizing crop varieties for extreme environments and ensuring sustainable ecosystems requires extensive plant scouting and analysis, which can be labor-intensive and lack comprehensive coverage. Traditional methods often fail to capture the full potential of plant genetics and struggle to adapt to the increasing challenges posed by climate change.

Stellar Conservation Solutions (SCS) provides an AI-driven platform that integrates satellite and drone multi/hyperspectral imagery to enhance plant scouting and genetic engineering. SCS's technology enables the identification of resilient crop varieties and facilitates the development of sustainable ecosystems. The platform uses a transformer deep-learning AI model to analyze multi-spectral data, providing insights into plant health, biomass, and biodiversity on a global scale. By unlocking the potential of plant genetics through intelligent earth observation, SCS helps combat climate change and optimize carbon detection and sequestration.

Analysis of multi/hyperspectral imagery from satellites and drones

Transformer deep-learning AI model for precision agriculture

Biomass and biodiversity monitoring on a global scale

Identification of resilient crop varieties for genetic engineering

Botanic Analyzer for enhancing natural selection through intelligent earth observation

Cultivation Management Platform for optimized crop management

Carbon Analyzer for optimizing analytics for carbon detection and sequestration

The primary customers are organizations involved in agriculture, forestry, and environmental monitoring, including those focused on genetic engineering, sustainable ecosystem development, and carbon sequestration.