Dataset opportunity
Aerobotics — 工业运营数据集机会
Aerobotics 持有的中等工业运营数据集，可用于工业监控和预测。
Score
48
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
56%
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)
2023年全球农业人工智能市场价值为19.1亿美元，预计从2024年到2030年的复合年增长率为25.5%（来源：Grand View Research）。[15]
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
受限
Legal
混合所有权 — 需明确许可权
Buyer persona
工业人工智能集成商
Aerobotics 拥有一个重要的工业运营数据集，其中包含来自农业运营的高分辨率无人机图像和传感器衍生的时间序列数据。此物联网数据和详细图像集的集合提供了纵向生长曲线和原始视觉证据，使其非常适合训练用于高价值作物工业监测的 AI 模型，从而能够精确跟踪植物健康和产量预测。
该数据集运行在全球农业人工智能市场内，该市场在2023 年的估值为19.1 亿美元，预计将以惊人的25.5% 的复合年增长率增长。[15] 虽然访问需要处理与种植者之间的数据所有权复杂性，但这些原始的、纵向的沉睡资产的巨大价值对 AI 买家来说是一个引人注目的主张。高增长率凸显了对这类数据以构建下一代农业智能和监测解决方案的强烈需求。⚠ 尽职调查（有价值的数据，可协商的访问权限）：数据通过客户智能手机和无人机收集，这意味着共享所有权或使用权存在复杂性；公司销售情报（预测），但原始图像和纵向生长曲线是沉睡资产；需要验证与种植者关于匿名/聚合数据二次使用的合同条款 · 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 Aerobotics 持有一个重要的、专有的数据集，用于跟踪农业运营，重点是水果生长和质量的时间序列数据。该资产直接适用于高需求的工业监测用例，使AI 集成商能够构建复杂的作物产量和健康预测模型。在一个快速扩张的农业人工智能市场中，这种独特的航空和地面实况数据组合为开发下一代农场管理解决方案提供了独特的竞争优势。
See dimension details ↓- Dataset Specificity74
主导的“工业数据”，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 Volume58
4 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
适用于工业监测
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand95
AI 买家需求异常高，这得益于 19.1 亿美元的农业人工智能市场 25.5% 的爆炸性复合年增长率，该市场基本上依赖于此类数据进行创新和模型训练。[15]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility40
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 Feasibility4
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 Strength74
4 种证据类型，4 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 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，5 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 Audit75
⚠ 审查 — 该公司的核心业务是向农业行业销售人工智能驱动的分析和情报软件，因此它不是一个好的目标，因为它已经将情报作为产品出售。问题：核心业务是销售情报：Aerobotics 的主要产品是软件平台（如 Aeroview 和 TrueFruit），提供人工智能驱动的分析、产量估算等；产品是情报，而不是数据冗余：该公司明确营销和销售人工智能驱动的洞察、产量估算和作物产量。
- Deep Qualification80
✓ 通过 — 该公司销售分析服务，而不是原始数据，并且虽然客户拥有他们的数据，但 Aerobotics 保留使用聚合、去标识化数据进行模型训练的权利，这代表了一个可协商但复杂的资产。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
press
- “Mon voisin veut planter un bois dans sa parcelle d’herbage. Elle se situe derrière mes garages et à dix mètres de ma maison. Quelles sont les distances par rapport à la limite de propriété ?”
- “Les prairies naturelles peuvent augmenter l’autonomie fourragère d’une exploitation. Une expérimentation de la chambre d’agriculture de la Haute-Loire démontre que l’apport de fumier et de lisier est un levier important pour augmenter leur rendement.”
- “Apolline Goffinet souhaite créer un atelier de poules pondeuses à côté de l’élevage ovin de son mari. Tous les voyants étaient au vert quand le recours d’un voisin a bloqué le projet.”
Developer portal
该公司的公开资料重点介绍了一个由农学家和工程师组成的多学科团队，这表明该数据集是通过深入的领域专业知识进行策划的，这对于构建可靠的 AI 模型至关重要。
Image collection
持有者拥有超过 1.3 亿张已标记的水果图像的大型集合，这是训练计算机视觉模型以实现自动化质量控制和产量预测的宝贵资产。
Industrial data
客户案例研究证实了工业时间序列数据的存在，特别是跟踪水果发育的生长曲线，这对于在精准农业中构建预测模型至关重要。
IoT / sensor data
证据表明该公司使用人工智能处理航空影像来识别作物问题，证明了用于训练模型以在工业农业中进行早期问题检测的有价值数据集。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, Image
License
One-time license for AI model training and industrial monitoring applications. Usage restrictions may apply.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This dataset's value is driven by its high rarity as proprietary, real-time time-series and imagery data for industrial monitoring in the high-growth AI in Agriculture market. The strong market read and specific use-case for yield forecasting and plant health monitoring support a premium valuation.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Aerobotics Industrial Operations — a Moderate industrial operations dataset (Time Series modality) in the other domain. Primary AI use-case: Industrial Monitoring. Market signal: Global AI in Agriculture market was valued at $1.91 billion in 2023, with a projected CAGR of 25.5% from 2024 to 2030 (source: Grand View Research). [15]. Investment score 48.0/100 (confidence 0.56). Recommended action: Acquire.
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