# qq547276542/Agriculture_KnowledgeGraph

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

Repository: https://github.com/qq547276542/Agriculture_KnowledgeGraph
Canonical: https://ross.abutalabs.com/products/agriculture_knowledgegraph
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: knowledge-graph, named-entity-recognition, relation-extraction, question-answering
Last push: 2025-02-11T14:23:01+00:00

## Health v2 (maintenance only)
Score: 35/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 6, release rhythm 35, longevity 100
- inputs: {"age_days": 3203, "days_push": 568, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4389, forks 1584 (observed 2026-08-28T04:08:47.207583+00:00)

## What it is
AgriKG is an agricultural domain knowledge graph system built on Neo4j with a Django web interface, including crawled encyclopedia data, named entity recognition, relation extraction, and intelligent question answering. It was a research project from East China Normal University and is no longer maintained, though its datasets remain freely usable for non-commercial academic purposes.

## Use cases
- build a knowledge graph for agriculture domain
- named entity recognition for chinese agricultural text
- extract entity relations from wikidata
- agricultural question answering system
- import encyclopedia csv data into neo4j
- learn how knowledge graph applications are built

## When to choose
- you need pre-built agricultural entity datasets and triples for research
- you want a reference implementation of a domain knowledge graph with NER and QA
- you are studying knowledge graph construction pipelines end to end

## When to avoid
- you need a maintained or production-ready system
- you require commercial use of the data
- you need support or bug fixes

## Facets
- artifact type: application
- maturity: abandoned
- function: search-engine, nlp, machine-learning, web-scraping, data-visualization
- domain: agriculture, databases, artificial-intelligence
- platform: python, self-hosted
- tags: knowledge-graph, neo4j, named-entity-recognition, relation-extraction, question-answering, django, chinese-nlp, smart-agriculture, natural-language-processing, web-server

## Member repositories
- qq547276542/Agriculture_KnowledgeGraph (main) score 35

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:47.207583+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:21:13.462302+00:00, confidence not recorded.
  - readme: https://github.com/qq547276542/Agriculture_KnowledgeGraph (fetched 2026-08-28T04:08:47.207583+00:00, sha d38250ca8d4f)
- Data as of 2026-08-30T08:39:29.467469+00:00.