Smartcloudfarming

Name: AI-generated field boundary polygons and crop-family classification derived from satellite imagery dating back to 2015, generated as a byproduct of Smart Cloud Farming's Agrovisio platform used by major agrifood enterprises for compliance, monitoring, and MRV/sustainability reporting
Creator: Smartcloudfarming

SMARTCLOUDFARMINGManage supplier listing

AI-generated field boundary polygons and crop-family classification derived from satellite imagery dating back to 2015, generated as a byproduct of Smart Cloud Farming's Agrovisio platform used by major agrifood enterprises for compliance, monitoring, and MRV/sustainability reporting

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Coverage

Universe, instruments and categories.

Industry: Application Software
Instruments: equities
Categories: AlternativeGeospatialSupply ChainESG
Regions: USOther
Sample tickers: NESN.SWDGE.LBAYN.DEADMBG

Dataset card

Type: not stated
Format: Multimodal (satellite imagery + AI-derived field boundary vector polygons + crop-family classification tabular data)
Volume: Historical satellite imagery and derived field boundary/crop classification data since 2015 across large agricultural territories relevant to major agrifood supply chains (exact hectare coverage not disclosed)
Users: At least 5 named major enterprise clients (Nestlé, Diageo, KWS, Bayer, Barilla) plus likely additional undisclosed agrifood customers (inferred from a 5-employee seed-stage company serving Fortune 500-scale clients)
History: 10 years
Update frequency: not stated
Growth: Active (named enterprise clients include Nestlé, Diageo, KWS, Bayer, and Barilla, indicating live commercial traction at a small seed-stage company)
Launched: ~2018-2019 (seed funding stage and 5-person team size are consistent with a company founded in this window; data coverage starts 2015, suggesting product development followed shortly after)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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