Dataset opportunity
Cropvue — 传感器遥测数据集机会
Cropvue 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
42.5
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
收购
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)
全球农用设备预测性维护市场在 2025 年的估值为 18 亿美元，预计到 2034 年将达到 56 亿美元，复合年增长率为 13.4%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-07-16
CROPVUE TECHNOLOGIES INC — Portugal – Sensors – AQUISIÇÃO DE ARMADILHAS INTELIGENTES (SMART TRAPS) NO ÂMBITO DO PROJETO OHVENET
ted.europa.eu ↗
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.
- 📦Data product
基于精选训练样本的人工智能洞察与害虫模型
source ↗
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — 许可权待明确
Buyer persona
工业人工智能与维护优化供应商
Cropvue 持有的传感器遥测数据集主要由田间农业硬件的时间序列数据组成。该数据集包括连续的iot_data和事件流，用于监控设备健康、运行状态和环境因素，非常适合开发预测性维护模型，以预测和防止机械故障。
农用设备预测性维护的全球市场在2025 年的估值为 18 亿美元，预计将以13.4% 的复合年增长率增长。[3] 虽然数据所有权与种植者共享，并且访问需要协商，但该数据集的价值因其独特的专有害虫图像库和汇总的害虫压力分析而得到显著提升，尽管访问复杂，但为高级人工智能应用提供了独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商访问）：数据所有权可能在公司与使用硬件的种植者/PCA 之间共享；专有害虫图像库是用于内部人工智能培训的高价值资产；区域害虫压力趋势已汇总，但目前不作为原始数据集出售。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Cropvue 拥有一份来自田间农业设备的专有纵向传感器遥测数据集。这些数据捕获了真实的运行条件，使其成为工业人工智能供应商开发预测性维护解决方案的高价值资产。在预计到 2034 年将达到 56 亿美元的农用设备预测性维护市场中，这一独特的数据集提供了训练模型以优化设备正常运行时间并降低维护成本所需的地面实况。
See dimension details ↓- Buyer Demand85
人工智能买家需求强劲，这得益于农用设备预测性维护市场 13.4% 的强劲复合年增长率，其中传感器遥测数据对于创造价值至关重要。[3]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility28
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 Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Dataset Specificity74
主导的 'iot_data'，行业其他，3 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 Rarity82
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 Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - 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 License36
所有权=混合，许可=权利不明确
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据胃口信号（1 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，1 个近期外部信号 — 超出已货币化部分的专有数据
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 Audit42
⚠ 审查 — Cropvue 的核心业务是销售硬件（传感器）和提供从收集数据中获取智能和洞察的软件/人工智能平台，因此作为数据/智能供应商，它不适合。问题：公司的核心产品是销售人工智能驱动的洞察、分析和软件，而不仅仅是休眠数据。[2, 3, 7, 10]；其商业模式基于向种植者销售硬件（传感器、陷阱）和相关的软件订阅（CV App，每年 99 美元）。[6, 8, 11, 15]；他们明确提供其数据的 API 以便集成到其他平台，这意味着他们已经从事提供数据/智能的业务；他们与 FMC 等大型公司合作，将他们的数据集成到 FMC 自有的农场智能平台中，这验证了他们作为一家公司的商业模式。
- Deep Qualification70
✓ 通过 — 目标公司销售硬件和相关的 AI 分析平台，使其传感器和图像数据成为核心副产品，但数据所有权模糊且风险显著。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
持有者拥有用于训练害虫分类模型的大规模精选图像集合，展示了在细致的数据收集和标注方面为人工智能应用积累的成熟经验。
IoT / sensor data
这是来自田间设备的时间序列数据的直接证据，包括冠层传感器和自动化陷阱，提供了对设备性能与环境因素进行建模所必需的原始物联网传感器信号。
Event streams
该公司在整个季节中系统地捕获农场级别的纵向数据，提供了构建和验证稳健预测模型所需的结构化历史事件流。
Marketplace
Dataset details
Detailed schema & sample available on access request.
Coverage
Scanned sources
Deliverable
Premium dataset report
Cropvue Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global predictive maintenance for farm equipment market was valued at $1.8 billion in 2025 and is expected to reach $5.6 billion by 2034, at a CAGR of 13.4% (source: Dataintelo). [3]. Investment score 42.5/100 (confidence 0.49). Recommended action: Acquire.
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