Gona: a crop doctor that works where there's no signal

Описание и применение

Gona – автономное приложение для диагностики болезней растений, работающее без интернета, использующее локальную модель распознавания речи и статическую базу знаний.

Задача

Farmers in remote West African fields lack reliable internet, making existing crop diagnosis apps unusable.

Результат

Gona delivers accurate, offline crop disease diagnosis for nine crops and eleven conditions, with no internet required and zero inference costs.

Рабочий процесс

• 1. Farmer opens Gona app on phone. 2. Presses the single button and speaks symptoms. 3. Whistle (16.9 MB WebAssembly speech‑to‑text) transcribes speech locally. 4. Symptom matcher compares transcription to a JSON knowledge base of 11 conditions. 5. App reads out the matched diagnosis and treatment steps. 6. If no match, app informs the farmer to consult a local extension service.

Доказательства

Every crop diagnosis app I've tried assumes you've got signal in the field.

Источник

It runs in the browser tab as WebAssembly. After your first visit, a service worker caches the app, the knowledge base, and the model runtime.

Источник

The only neural network in Gona is Whistle, a 16.9MB open-weight speech-to-text model from Cactus Compute (Apache 2.0).

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Whistle has one job: hear what you said. Everything after that is a lookup against 11 conditions I pulled from published plant pathology and extension sources (CABI, IITA, APS).

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I tested the matcher against 12 field-style descriptions, written the way a farmer would actually say it, not in textbook language.

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