Dataset opportunity
Farmdroid — 地理空间数据集机会
Farmdroid 持有的海量地理空间数据集，可用于地理人工智能和路线规划与预测。
Score
75.3
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
62%
Action
许可
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)
全球地理空间农业分析市场预计到 2034 年将达到 65.6 亿美元，复合年增长率为 13.0%（2026-2034 年）。
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.
- 🧑💻Hiring a data role
历史上招聘专注于 GPS 和数据精度的软件和机器人工程师
source ↗
Profile
Dataset profile
Type
地理空间数据集
Modality
表格
Sector
工业
Volume
大型
Freshness
实时
Rarity
中等
Accessibility
部分
Legal
混合所有权 — 许可权待明确
Buyer persona
地理空间人工智能与移动分析团队
Farmdroid 拥有由其自主农业机器人生成的一份独特的地理空间数据集。这些高保真数据以表格形式呈现，包含专有的高精度 RTK GPS 坐标，以及来自农场运营的广泛物联网数据和工业数据。传感器和位置信息的这种丰富组合为旨在优化从播种到收获的农艺流程的地理人工智能模型提供了强大的基础，具有无与伦比的准确性。
全球地理空间农业分析市场是一个重要且快速扩张的领域，预计到 2034 年将达到65.6 亿美元，复合年增长率为强劲的13.0%。[2] 虽然访问此数据需要遵守用户许可协议，因为其源自客户农场，但其稀有性以及底层农艺“大数据”在很大程度上未被货币化这一事实代表了一个巨大的机会。对于人工智能买家而言，协商访问权意味着在高增长市场中获得独特的竞争优势。⚠ 尽职调查（有价值的数据，可协商的访问权）：数据在客户农场生成，需要用户许可协议中的明确数据共享协议；高精度 RTK GPS 数据是 FarmDroid 平台的专有数据，但与第三方土地相关；该公司销售机器人和平台，但底层农艺“大数据”在很大程度上仍未被货币化。· 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 Farmdroid 拥有由其自主农业机器人捕获的、用于单个种子的高精度地理空间坐标的专有数据集。该数据记录了每颗种子种植的精确RTK GPS位置，以及在相同坐标下进行的后续除草和微喷洒操作。对于地理空间人工智能团队来说，这是用于训练优化农业产量和支持下一代精准农业应用的模型的稀有资产。随着地理空间农业分析市场增长至 65.6 亿美元，这种独特的田间级运营数据提供了显著的竞争优势。
See dimension details ↓- ICP Audit100
✓ 良好目标 — Farmdroid 销售农业机器人，其核心业务不是数据，但机器人作为其运营活动的副产品生成有价值的专有地理空间数据，使其成为理想目标。问题：主要问题是数据所有权；尚不清楚 Farmdroid 对客户农场上机器人生成的运营数据拥有何种权利；该公司正在积极开发其数据能力，包括基于人工智能的视觉系统，这可能预示着未来会转向销售数据/智能。
- Dataset Specificity90
占主导地位的“地理数据”，行业为工业，3 种具体类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity58
专有领域数据（开放会降低稀有度）
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume76
7 条证据命中
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
适用于地理人工智能
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand90
人工智能买家的需求源于地理空间农业分析市场强劲的 13.0% 复合年增长率，这反映了对数据驱动的农业决策和人工智能集成迫切的需求。[2]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility56
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility66
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 Strength83
4 种证据类型，7 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. - Deep Qualification80
✓ 通过 — Farmdroid 销售自主农业机器人并收集由此产生的运营数据，使其成为拥有有价值副产品数据集的工具供应商。然而，数据所有权是混合的，因为它是在客户农场生成的，并且其隐私政策中并未明确定义转售这些数据的权利。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Geospatial data
这证实了表格地理空间数据的收集，该数据将精确的RTK GPS坐标与单个种子关联起来，为先进的精准农业和产量优化模型创建了地面实况资产。
Downloads / exports
公开的产品规格验证了技术收集方法，记录了8 毫米高精度 RTK GPS 系统的使用，并证实了核心地理空间数据集的质量和准确性。
IoT / sensor data
这表明存在来自机器人GPS 单元的原始时间序列传感器数据，提供了机器位置和操作的连续高保真日志，对于移动分析很有价值。
Industrial data
这指向了工业机器事件的时间序列数据集，例如设备状态和故障警报，这对于构建自主农业硬件的预测性维护模型非常有价值。
Marketplace
Dataset details
Detailed schema & sample available on access request.
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Coverage
Scanned sources
Deliverable
Premium dataset report
Farmdroid Geospatial — a Large geospatial dataset (Tabular modality) in the industrial domain. Primary AI use-case: Geo AI. Market signal: Global Geo-Spatial Agriculture Analytics market to reach $6.56 billion by 2034, CAGR 13.0% (2026-2034) (source: Research and Markets).. Investment score 75.3/100 (confidence 0.62). Recommended action: License.
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