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AgriBlick

AgriBlick

AI-driven precision analytics for orchards & forests to optimize yield and tree health.
Leipzig, Germany
0 Followers

Overview

Phase
MVP
Team Size
1

Industries

Agriculture & FarmingAI & Machine Learning

Impacts

Sustainable Agriculture

Open Positions

1

What Drives Us

Mission

Our mission is to revolutionize high-value crop management by providing automated, tree-level insights that bridge the gap between complex drone imagery and actionable farm management. We aim to become the leading digital infrastructure for fruit growers and foresters, enabling them to transition from reactive to proactive plant health monitoring through scalable Computer Vision and Deep Learning.

Problem

Our target audience (large-scale orchard and forest managers) struggles with manual crop inspection, which is labor-intensive, expensive, and error-prone. Without automated data, they cannot detect early-stage drought stress or disease, leading to significant yield loss. Existing drone solutions provide raw data, but lack the specialized AI to offer specific tree-level health scoring and precise automated counts at scale.

Solution

We solve this by offering an AI-native SaaS platform that processes raw drone imagery into high-precision health maps. Our backend automatically counts trees and calculates health indicators (e.g., VARI score), enabling farmers to identify stress weeks before it’s visible to the eye. This allows for targeted irrigation, precise fertilization, and 90% faster inventory management.

Status

Achievements

Team
Prototype
Users
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Team

See AgriBlick's team description, advisors, and founding story

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