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Artificial Intelligence for Remote Sensing

Vulcan AI Pte. Ltd. · Intelligence & Research

SaaSNo attestation published

Certification per Microsoft Marketplace.

AI for Agriculture and forestryTree Health and Tree Nutrient deficiency in agriculture
Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 9 captures on record

User ratingNot rated0 reviews on the listing
Runs onSaaSSaaS
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on Microsoft Marketplace.

Vulcan Ceres is a suite of artificial intelligence (AI) applications helping farmers translate data into actionable insights, and make better decisions for yield and quality optimisation at a lower cost. Ceres uses a multi-sensory approach to generate intelligence for micro-supervision. A combination of satellite, unmanned aerial vehicle (UAV), internet of things (IoT) data and your enterprise data are put through signal processing and AI pipelines to generate actionable insights. Our AI applications have the potential to increase yield by 5-15% and optimise business costs such as fertilisers, weedicides and labour by 10-20%.Vulcan Ceres comes bundled with third party data like satellite images and weather data that can be combined with your own datasets such as operational and geospatial information.

  • Ceres Hyperdata: Ceres Hyperdata creates an analytical data model which is then consumed by our proprietary applications and/or integrates with your own analytical models or GIS applications. Hyperdata also offers various GIS layers and data that agronomists can use to easily select areas for investigation and/ or research. Data can be exported to integrate into their own research and analysis systems.
  • Ceres Sense+ and Replant+: The Sense+ module uses advanced AI models and image processing techniques to generate clean, rich images from satellite images and geospatial data for further processing. The processed and cleaned images are then run through proprietary computer vision and deep learning AI pipelines to generate various vegetation indices for assessment of tree health, water stress, and biomass.
  • Signal Processing:Auto Quality Control (QC) of Satellite & UAV images, Haze Detection & Removal, Cloud Detection & Removal, Shadow Detection & Correction, Crop Specific Vegetative Indices
  • AI-Generated Layers:Tree Locations, Tree Counts, Planting Lines, Blank Spots, Thinning Alerts, Tree point Density
  • Ceres Health+ and Nutrients: Ceres Health+ AI pipelines help to detect potential nutrient deficiencies and/or pest and disease incidence. Running satellite and UAV images through Health+ AI pipelines can identify potential areas suffering from nutrient deficiencies. Various inputs including leaf sampling information, ground sensors, historical pest, disease incidence, and weather, are combined with Multi-Spectral and Hyper-Spectral Vegetation Indices to create AI-based pest and disease surveillance models. These models offer early detection of any yield limiters, enabling you to take rapid action to protect your crops.
  • AI-Generated Layers:Various Vegetation Indices, Pest and Diseases alerts, Nutrient deficiency alerts, Tree Canopy
  • Ceres SmartGrader: SmartGrader automates the counting & grading of fruits. Ceres SmartGrader module uses standard camera resolution images to count and grade fruits, and can be deployed to mobile devices and used in the field without real-time data connectivity. By analysing the production & quality of harvested fruit, you can get insights into the quality of the harvesting activities. These insights can help you to fine tune the right time for harvesting and also trace underperforming harvesters.

Preview

5 images
Artificial Intelligence for Remote Sensing preview 1Artificial Intelligence for Remote Sensing preview 2Artificial Intelligence for Remote Sensing preview 3Artificial Intelligence for Remote Sensing preview 4Artificial Intelligence for Remote Sensing preview 5

Agent build and provenance

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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Compliance

Government
  • FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27

Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.

Sources

Marketplace listingmarketplace.microsoft.comSource
Privacy PolicyPrivacy PolicySource

Publisher resources

7 links
Vulcan Ceres Brochurecatalogartifact.azureedge.netSource
Vulcan Ceres Sense+www.vulcan-ai.comSource
Vulcan Ceres Replant+www.vulcan-ai.comSource
Vulcan Ceres Health+www.vulcan-ai.comSource
Vulcan Ceres Nutrient+www.vulcan-ai.comSource
Vulcan Ceres SmartGraderwww.vulcan-ai.comSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Unknown
Not stated
Delivery
SaaS
https://www.vulcan-ai.com/contact
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