How should harvestiq be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this skill.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

Crawler Summary

harvestiq answer-first brief

Production-grade crop disease detection & advisory system — ResNet50 + CrewAI + ChromaDB # 🌾 HarvestIQ AI-powered crop disease detection — ResNet50 + RAG + FastAPI + React --- 📌 What Is This? An end-to-end AI system that detects crop diseases from leaf images with 82%+ confidence. Upload a photo → ResNet50 classifies the disease → RAG retrieves knowledge → AI agents generate diagnosis + treatment advice → saved to PostgreSQL. --- 🗺️ Simple Flow --- 📁 Project Structure --- 🔗 API Endpoints | Method | Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

harvestiq is best for crewai, multi-agent workflows where OpenClaw compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, GITHUB REPOS, runtime-metrics, public facts pack

Card Facts Snapshot Contract Trust

Agent DossierGITHUB REPOSSafety: 66/100

harvestiq

OpenClawself-declared

Public facts

Change events

Artifacts

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Oct 9, 2026

Vendor

Venkata1236

Artifacts

Benchmarks

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

View Source

Setup snapshot

1
Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
2
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content

Vendor (1)

Vendor

Venkata1236

profilemedium

Observed Oct 9, 2026Source link Provenance

Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium

Observed Oct 9, 2026Source link Provenance

Security (1)

Handshake status

UNKNOWN

trustmedium

Observed unknownSource link Provenance

Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium

Observed Apr 15, 2026Source link Provenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB REPOS

Extracted files

Examples

Snippets

Languages

python

Executable Examples

text

User uploads leaf image
        ↓
React frontend → POST /api/detect
        ↓
ResNet50 classifies disease (38 classes)
        ↓
ChromaDB RAG retrieves disease knowledge
        ↓
AI Agents → Diagnosis + Treatment advice
        ↓
Saved to PostgreSQL → Response to UI

text

harvestiq/
├── backend/
│   ├── app/
│   │   ├── main.py                  ← FastAPI app + lifespan
│   │   ├── routes/
│   │   │   └── detect.py            ← POST /api/detect endpoint
│   │   ├── ml/
│   │   │   ├── model.py             ← ResNet50 inference
│   │   │   └── preprocess.py        ← Image preprocessing
│   │   ├── rag/
│   │   │   └── retriever.py         ← ChromaDB knowledge retrieval
│   │   ├── agents/
│   │   │   ├── disease_analyst.py   ← AI diagnosis agent
│   │   │   └── treatment_advisor.py ← AI treatment agent
│   │   └── database/
│   │       └── connection.py        ← PostgreSQL setup
│   ├── saved_models/
│   │   └── harvestiq_resnet50.pt    ← Trained model (LFS)
│   ├── chroma_db/                   ← Vector store
│   ├── Dockerfile
│   └── requirements.txt
├── frontend/
│   ├── src/
│   │   ├── pages/
│   │   │   ├── Upload.tsx           ← Image upload page
│   │   │   ├── Results.tsx          ← Detection results page
│   │   │   └── History.tsx          ← Detection history page
│   │   └── services/
│   │       └── api.ts               ← Axios API client
│   ├── index.html
│   └── vite.config.ts
└── README.md

bash

cd backend
pip install -r requirements.txt

text

DATABASE_URL=postgresql://user:password@localhost/harvestiq
OPENAI_API_KEY=your_key_here

bash

# Backend
uvicorn app.main:app --reload --port 8000

# Frontend
cd frontend
npm install
npm run dev

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB REPOS

Docs source

GITHUB REPOS

Editorial quality

ready

Full README

🌾 HarvestIQ

AI-powered crop disease detection — ResNet50 + RAG + FastAPI + React

📌 What Is This?

An end-to-end AI system that detects crop diseases from leaf images with 82%+ confidence. Upload a photo → ResNet50 classifies the disease → RAG retrieves knowledge → AI agents generate diagnosis + treatment advice → saved to PostgreSQL.

🗺️ Simple Flow

User uploads leaf image
        ↓
React frontend → POST /api/detect
        ↓
ResNet50 classifies disease (38 classes)
        ↓
ChromaDB RAG retrieves disease knowledge
        ↓
AI Agents → Diagnosis + Treatment advice
        ↓
Saved to PostgreSQL → Response to UI

📁 Project Structure

harvestiq/
├── backend/
│   ├── app/
│   │   ├── main.py                  ← FastAPI app + lifespan
│   │   ├── routes/
│   │   │   └── detect.py            ← POST /api/detect endpoint
│   │   ├── ml/
│   │   │   ├── model.py             ← ResNet50 inference
│   │   │   └── preprocess.py        ← Image preprocessing
│   │   ├── rag/
│   │   │   └── retriever.py         ← ChromaDB knowledge retrieval
│   │   ├── agents/
│   │   │   ├── disease_analyst.py   ← AI diagnosis agent
│   │   │   └── treatment_advisor.py ← AI treatment agent
│   │   └── database/
│   │       └── connection.py        ← PostgreSQL setup
│   ├── saved_models/
│   │   └── harvestiq_resnet50.pt    ← Trained model (LFS)
│   ├── chroma_db/                   ← Vector store
│   ├── Dockerfile
│   └── requirements.txt
├── frontend/
│   ├── src/
│   │   ├── pages/
│   │   │   ├── Upload.tsx           ← Image upload page
│   │   │   ├── Results.tsx          ← Detection results page
│   │   │   └── History.tsx          ← Detection history page
│   │   └── services/
│   │       └── api.ts               ← Axios API client
│   ├── index.html
│   └── vite.config.ts
└── README.md

🔗 API Endpoints

| Method | Endpoint | Description | |---|---|---| | POST | /api/detect | Upload image → disease detection | | GET | /api/detections | Get all detection history | | GET | /api/detections/{id} | Get single detection | | DELETE | /api/detections/{id} | Delete a detection |

🧠 Key Concepts

| Concept | What It Does | |---|---| | ResNet50 | Classifies 38 crop disease classes from leaf images | | ChromaDB RAG | Retrieves disease-specific knowledge for context | | AI Agents | Generate diagnosis summary + treatment advice | | PostgreSQL | Persists all detections with metadata | | React + Vite | Frontend served statically by FastAPI |

🌿 Supported Crops & Diseases

38 classes across crops including Tomato, Potato, Corn, Apple, Grape, Pepper, Strawberry, Peach, Cherry, and more — covering diseases like Late Blight, Early Blight, Leaf Mold, Black Rot, and healthy states.

⚙️ Local Setup

cd backend
pip install -r requirements.txt

Add .env:

DATABASE_URL=postgresql://user:password@localhost/harvestiq
OPENAI_API_KEY=your_key_here

Run:

# Backend
uvicorn app.main:app --reload --port 8000

# Frontend
cd frontend
npm install
npm run dev

🚀 Deployment

Live on Hugging Face Spaces (Docker): https://venkat1236-harvestiq.hf.space

FastAPI serves React build as static files
PostgreSQL via Hugging Face datasets
ResNet50 model stored via Git LFS

📦 Tech Stack

FastAPI — REST API + static file serving
PyTorch + ResNet50 — Crop disease classification
ChromaDB — Vector store for RAG knowledge retrieval
PostgreSQL — Detection history storage
React + Vite + TypeScript — Frontend UI
Docker — Single container deployment

👤 Author

Venkata Reddy Bommavaram

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingGITHUB REPOS

Endpoints

Dossier API Snapshot API Contract API Trust API

Contract coverage

Status

missing

Auth

None

Streaming

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.

Invocation examples

curl -s "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/snapshot"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/contract"

curl -s "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media

No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_REPOS",
      "generatedAt": "2026-10-10T08:01:25.630Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "crewai",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    },
    {
      "key": "multi-agent",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:crewai|supported|profile capability:multi-agent|supported|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Venkata1236",
    "href": "https://github.com/Venkata1236/harvestiq",
    "sourceUrl": "https://github.com/Venkata1236/harvestiq",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:16.651Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T22:27:16.651Z",
    "isPublic": true
  },
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/crewai-venkata1236-harvestiq/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]