Offline Gemma AI Computer Vision for Crop Health & Disease Diagnostics
Built on Flutter, Cocoa Eye utilizes an optimized, hyper-localized Gemma AI model operating 100% offline to detect crop diseases early and immediately link farmers with verified agro-chemical retailers.
Smallholder cocoa farmers suffer devastating crop losses due to sub-visual disease outbreaks, lacking agricultural extension officers and fast access to genuine treatments.
Built on Flutter, Cocoa Eye utilizes an optimized, hyper-localized Gemma AI model operating 100% offline to detect crop diseases early and immediately link farmers with verified agro-chemical retailers.
Engineering highlights and functional capabilities powered by the NETHUB DUKEL core.
Offline-capable Gemma AI model running directly on edge devices
Sub-visual disease indicator detection & tree-level historical yield tracking
Instant agro-chemical matching marketplace for genuine inputs
Hyper-local language audio guidance for non-literate smallholders
Regional crop outbreak heatmaps for agricultural policymakers
Quantifiable advantages delivered to enterprises, MSMEs, and operators.
Works in remote cocoa farms with zero mobile internet connectivity
Prevents widespread disease contagion through early AI diagnosis
De-risks agricultural supply chains for buyers and crop insurers
Eliminates counterfeit agro-chemicals through verified supplier network
Architecture model, platform tier, and rollout parameters.
Flutter (Android / iOS)
Hyper-localized Gemma AI (On-Device Inference)
2.5% take-rate on agro-input sales
Field validation cohort across Eastern Region cocoa clusters
Interface screenshots and feature gallery for Cocoa Eye AI.
Launch the live software application or watch our technical engineering demonstration video.
Access live production sandbox
Interested in deploying custom modules of Cocoa Eye AI on private cloud or on-premise infrastructure?
Contact Solutions EngineerClick play to watch the full product demonstration video.
