Dataset opportunity
Greenfieldrobotics — 传感器遥测数据集机会
Greenfieldrobotics 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
74.5
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)
全球精准农业市场 = 2024 年为 98 亿美元，复合年增长率为 14.2%。
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-09-29
Greenfield Robotics opens public share offering after 6 years in the field
futurefarming.com ↗
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
技术概述强调人工智能和计算机视觉用于杂草识别
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
Greenfield Robotics 持有的专有传感器遥测数据集，由其在第三方农场上运行的实体机器人车队生成。此时间序列数据整合了物联网数据、地理数据和图像集，提供了对田间机械操作的独特全面视图，非常适合构建和验证预测性维护模型。
此数据是进入全球精准农业市场的直接入口，该市场在 2024 年的估值为 98 亿美元，预计将以 14.2% 的复合年增长率增长。虽然数据源于第三方农场意味着访问权和洞察所有权需要在服务合同中明确，但其操作的稀有性和低隐私风险为 AI 买家提供了一个引人注目的机会，以在这个高增长领域建立竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权）：数据由在第三方农场上运行的实体机器人车队生成；特定田间洞察的所有权可能需要在服务合同中明确；数据主要为农业和工业数据，隐私风险较低。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据证实 Greenfield Robotics 拥有独特且专有的数据集，捕获了其自主农业机器人真实世界性能遥测。数据包括来自现场实时操作的传感器读数、空间坐标和视觉捕获，涵盖各种作物类型和条件。对于工业人工智能供应商来说，这是一个难得的机会，可以获取用于预测性维护模型的训练数据，这是快速增长的 98 亿美元精准农业市场中的关键需求，在该市场中，设备的正常运行时间和运营效率至关重要。
See dimension details ↓- Dataset Specificity74
主导的“物联网数据”，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 Demand90
AI 买家需求异常高，这得益于精准农业市场以预测的 14.2% 复合年增长率快速扩张，从而推动了对用于训练预测模型的真实世界运营数据的需求。
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 Feasibility44
低难度，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，许可=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 — 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 Audit100
✓ 良好目标 — 该公司的核心业务是提供除草机器人即服务或直接销售机器人，这使得机器人产生的运营数据成为有价值的、未被开发的副产品。问题：该公司正从“机器人即服务”模式转变为直接销售机器人，这可能会改变数据所有权/访问的格局；虽然他们生成了大量的运营数据（机器人遥测、杂草测绘），但他们也在开发未来的能力，如土壤测试和微喷。
- Deep Qualification70
✓ 通过 — Greenfield Robotics 最近已从服务模式转向直接向农民销售其除草机器人。这一转变使其成为一个工具供应商，而运营数据（遥测、GPS、传感器数据）现在是在客户拥有的设备上生成的，这使得数据所有权和访问权变得复杂。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Image collection
该数据集包括机器人识别各种作物中杂草的实时图像，为计算机视觉应用或将物理事件与传感器读数相关联提供了宝贵的视觉背景。
Geospatial data
这些表格数据由机器人导航作物行时的精确 GPS 和空间坐标组成，使得能够创建与特定地理背景相关联的设备性能的定位感知模型。
IoT / sensor data
这个核心时间序列数据集包含在各种环境条件下运行的机器人产生的工业传感器读数，提供了训练和验证预测性维护算法所需的关键性能基准。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Greenfieldrobotics Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Precision Agriculture Market = $9.8B in 2024, CAGR 14.2% (source: Strategic Market Research).. Investment score 74.5/100 (confidence 0.49). Recommended action: Acquire.
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