Show HN: HarvestGuard – AI early warnings for crop failure and food crises
HarvestGuard is an open-source platform designed to provide early warnings of crop failure and food insecurity using AI and real satellite data. It aims to assist NGOs, governments, and humanitarian responders by offering predictive intelligence at the country level. The platform addresses the critical issue of food insecurity affecting 828 million people, particularly smallholder farmers who lack access to timely warnings.
- ▪HarvestGuard combines satellite vegetation data, rainfall anomalies, and food security indicators to generate early warnings of crop failure.
- ▪The platform is accessible to various organizations and aims to fill the gap in real-time predictive intelligence for food security.
- ▪It utilizes data from NASA, CHIRPS, and the World Food Programme to provide accurate risk assessments and alerts.
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/rishavsunny12/harvestGuard |
| Publication time | Tue, 26 May 2026 17:41:14 +0000 |
| Retrieval time | 2026-05-26T17:52:50.579Z |
| Last seen | 2026-05-26T17:52:50.579Z |
| 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 | Sb3cZeoO6QFM |
| 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 |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| 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
HarvestGuard 🌾 AI-Powered Food Insecurity Early Warning System HarvestGuard is an open-source platform that fuses real satellite vegetation data, rainfall anomalies, and WFP food security indicators to generate AI-powered 30-60 day early warnings of crop failure and food insecurity — accessible to NGOs, governments, and humanitarian responders worldwide. The Problem 828 million people face food insecurity. Smallholder farmers (who produce 70% of the world's food) have zero access to advance crop failure warnings. WFP's HungerMap shows current status; FEWS NET publishes monthly expert reports. No open, accessible platform provides real-time predictive intelligence at country level. HarvestGuard fills this gap.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.
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