Dataset opportunity
Ragt Semences — 工业运营数据集机会
Ragt Semences 持有的中等工业运营数据集，可用于工业监控和预测。
Score
47.5
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
49%
Action
合作（集团层面）
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market size (indicative estimate)
全球智慧农业市场在 2025 年的估值为 234 亿美元，预计复合年增长率为 12.4%。
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
Profile
Dataset profile
Type
工业运营数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能集成商
Ragt Semences 持有一个有价值的工业运营数据集，其中包含大量的时间序列数据。此集合包括来自种子加工的详细 `industrial_data` 和来自监控生产线和环境条件的传感器的 `iot_data`，并辅以专有的 `knowledge_base`。这些精细数据非常适合开发和训练用于工业监控的 AI 模型，从而实现设备的预测性维护和种子处理流程的优化。
该数据的商业价值在全球智慧农业市场中得到凸显，该市场在 2025 年的估值为 234 亿美元，预计将以 12.4% 的复合年增长率增长。尽管由于数据的战略重要性以及公司的大型集团结构可能存在访问复杂性，但其稀有性及其在快速增长市场中创造竞争优势的直接适用性使其成为一项重要的收购资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据对于种子遗传领域的竞争优势具有高度战略意义；属于拥有复杂决策机制的大型集团的一部分；部分数据可能与研究合作伙伴（INRAE 等）共享 · 公司：RAGT Group 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Ragt Semences 拥有高度专有的数据集，结合了纵向田间试验的性能与实时物联网传感器数据以及底层的专有基因组学。这是工业人工智能集成商开发用于产量优化和抗病性的预测模型的关键资产。在预计将超过 234 亿美元且年增长率超过 12% 的智慧农业市场中，这些数据为训练复杂的工业监控解决方案并获得显著竞争优势提供了独特的机会。
See dimension details ↓- Dataset Specificity62
主导的“industrial_data”，行业其他，2 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity70
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume52
3 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value74
适用于工业监控
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
人工智能买家需求旺盛，这得益于智慧农业市场的强劲增长，该市场正以 12.4% 的复合年增长率扩张。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility50
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
高难度，RAGT Group 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=公司所有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
RAGT Group 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation73
3 个数据需求信号（3 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit58
⚠ 审查 — 该公司的核心业务是种子生产，但它积极开发并向客户提供数字工具和决策支持软件（OAD），这意味着它已经在销售其数据衍生的情报。问题：该公司属于一个拥有 2,000 多名员工和约 6.8 亿欧元收入的大型集团（RAGT Group），因此它不是中小企业；该公司积极开发和推广“Outils d'Aide à la Décision”（OAD - 决策支持工具）和其他数字解决方案，以帮助农民管理他们的；这种数字工具和情报的提供是其对客户价值主张的核心部分，将其置于“销售情报”类别。
- Deep Qualification70
✓ 通过 — Ragt Semences 是一家种子生产商，因此其生产工厂拥有工业运营数据集是合理的。但是，在没有查阅具体法律文件的情况下，数据所有权和转售权仍不确定。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Industrial data
这些证据表明存在一个多年的时间序列数据集，捕获了数千次田间试验的结果，这对于任何构建作物产量和气候适应性预测模型的 AI 集成商至关重要。
IoT / sensor data
这证实了从传感器和无人机收集的高频时间序列数据，提供了开发先进工业监控和精准农业应用所需的精细、实时输入。
Knowledge base / docs
这表明存在一个专有的基因序列和分子标记知识库，提供了将运营结果与基因组选择联系起来并创建独特强大的预测模型所需的地面真实数据。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Ragt Semences Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the other domain. Primary AI use-case: Industrial Monitoring. Market signal: Global Smart Agriculture Market was valued at USD 23.4 billion in 2025, with a projected CAGR of 12.4% (source: Market.us).. Investment score 47.5/100 (confidence 0.49). Recommended action: Partnership (group-level).
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