Dataset opportunity
Goodleaffarms — 传感器遥测数据集机会
Goodleaffarms 持有的中等传感器遥测数据集，可用于预测性维护和异常检测。
Score
73.3
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
获取
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)
全球农用机械预测性维护市场 = 2024 年为 14.2 亿美元，复合年增长率为 17.8%。
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.
- ✨Signal
官方 FAQ 中提到高度自动化的农场设计
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
部分
Legal
公司所有 — 可授权
Buyer persona
工业人工智能与维护优化供应商
Goodleaffarms 持有一个由其受控环境农业运营生成的时间序列 sensor_telemetry_data 数据集。此 iot_data 包括来自水泵、LED 照明和 HVAC 系统等关键设备的连续读数，捕获振动、功耗和运行正常运行时间等指标。此精细的真实industrial_data 非常适合训练用于预测性维护用例的 AI 模型，从而能够准确预测设备故障的发生。
该数据直接服务于农用机械预测性维护市场，该市场在 2024 年的价值为14.2 亿美元，预计将以17.8% 的复合年增长率增长。虽然访问需要导航专有的农场管理系统和敏感的商业秘密，但此历史遥测数据的稀有性和高保真度提供了显著的竞争优势。对于 AI 买家而言，防止农业环境中昂贵的运营停机时间的价值证明了协商访问此独特数据集的合理性。⚠ 尽职调查（有价值的数据，可协商访问）：数据可能嵌入专有的农场管理系统中；种植配方和环境设定点是敏感的商业秘密；可能需要物理访问现场边缘服务器以获取历史日志 · 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明了拥有一个稀有的、专有的数据集，该数据集捕获了高度自动化的室内农场的传感器遥测数据。此时间序列数据是工业人工智能供应商开发用于专业农业设备的预测性维护算法的关键资产。随着全球农用机械预测性维护市场预计将以 17.8% 的复合年增长率增长，此独特数据能够创建高价值模型，优化资源管理并防止昂贵的设备停机。
See dimension details ↓- Dataset Specificity74
占主导地位的 '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. - Buyer Demand85
买家需求旺盛，受市场强劲的 17.8% 复合年增长率驱动，因为 AI 开发人员寻求专业的农业物联网数据来构建有价值的预测性维护解决方案。
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 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. - 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，授权=干净
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 个数据需求信号（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 — 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 Audit92
✓ 良好目标 — GoodLeaf Farms 是一个绝佳的目标，因为它是一家快速发展的垂直农业运营公司，利用广泛的传感器数据来优化作物产量，但其核心产品是农产品本身，而不是数据。
- Deep Qualification90
✓ 通过 — GoodLeaf Farms 是一个数据持有者。该公司运营高科技垂直农场，假设的传感器遥测数据是其销售绿叶蔬菜的核心业务的合理副产品。此数据与预测性维护用例一致。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这是物联网数据，展示了精确、自动化的资源管理，对于训练模型以提高受控环境中的水和土地利用效率非常宝贵。
Industrial data
这是来自专有照明和营养输送系统的工业过程数据，对于构建最大化作物产量和质量的优化算法至关重要。
Image collection
这是来自自动化系统的监控图像集合，可用于训练计算机视觉模型以进行质量控制，并将视觉作物健康状况与传感器数据异常相关联。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Goodleaffarms 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 machinery market = $1.42B in 2024, CAGR 17.8% (source: Growth Market Reports).. Investment score 73.3/100 (confidence 0.49). Recommended action: Acquire.
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