No Internet? No Problem. How I Built a Crop Disease Detector for Rural India
Shivam Singh developed KhetAI, an offline AI crop diagnostic tool aimed at helping Indian farmers identify crop diseases. The tool allows farmers to take a photo of their affected crops and receive instant diagnoses and treatment recommendations in their native languages. KhetAI operates without internet connectivity, ensuring accessibility for rural communities where agricultural experts and resources are limited.
- ▪Indian farmers lose 20-30% of their harvest to undiagnosed crop diseases each year.
- ▪KhetAI provides instant diagnoses and treatment steps without requiring internet access.
- ▪The tool supports multiple Indian languages, making it user-friendly for local farmers.
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| Original publisher | DEV.to (Top) |
| Canonical URL | https://dev.to/shastraa_430/no-internet-no-problem-how-i-built-a-crop-disease-detector-for-rural-india-5284 |
| Publication time | Tue, 19 May 2026 00:17:14 +0000 |
| Retrieval time | 2026-05-19T00:34:57.023Z |
| Last seen | 2026-05-19T00:34:57.023Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | B8ywOupAbMex |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3355053) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Shivam Singh Posted on May 19 No Internet? No Problem. How I Built a Crop Disease Detector for Rural India #devchallenge #gemmachallenge #gemma Gemma 4 Challenge: Build With Gemma 4 Submission How I Built an Offline AI Crop Doctor for Indian Farmers Using Gemma 4 Every year, Indian farmers lose 20–30% of their harvest to crop diseases they cannot identify in time. Agricultural experts are concentrated in cities. Internet is unreliable in villages.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DEV.to (Top).
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