Detailed answers to common questions about IPS CeresAI's multi-spectral spatial calculations, data security thresholds, and commercial models.
1. Remote Sensing & Science
NDVI uses near-infrared and red reflectance to map canopy greenness, which works well in early and mid-growth. However, as crop canopy closes, red light absorption saturates. NDRE replaces red with red-edge wavelengths, which penetrate deeper into crop layers to map nitrogen and chlorophyll density in dense crops like sugarcane.
We ingest Sentinel-2 imagery which provides a native resolution of 10 meters per pixel for visible and near-infrared bands. When farmers require sub-meter precision (down to 5 centimeters per pixel), we run automated drone multi-spectral mapping flights to overlay on the satellite base mesh.
Yes. Fungal infections degrade leaf cells, reducing near-infrared reflection days before yellow or brown spots appear on the outer surface. Our algorithms identify these early stress fluctuations, alerting agronomists to apply localized treatments before blight spreads.
IPS CeresAI uses automated cloud masking models to filter out obscured frames. We fill temporal gaps by interpolating historical vegetation indices, and when critical cloud blocks persist, we schedule regional drone flights to bypass atmospheric occlusion.
Our leaf disease classification runs on semantic segmentation networks built on U-Net and SegNet backbones. The weights are optimized using TensorRT to reduce GPU inference times during batch processing.
2. Farm Data Privacy & Ownership
The farm operator or cooperative retains complete ownership of their raw field coordinates and yield values. IPS CeresAI only processes this dataset to deliver analytical maps, and we never resell raw coordinate sets to third parties.
Yes. All coordinate indices are hashed and encrypted at rest using AES-256 protocols. Field outlines are only visible to authorized team members and the account owners.
Our soil probes use cellular IoT modems that communicate over encrypted TLS channels to our Ingestion Gateway API. This blocks external spoofing attempts of soil moisture parameters.
Yes. We support complete account deletions. Upon receiving a request, our database admin triggers script wipes to purge coordinate shapes, telemetry history, and metadata records within 14 business days.
Yes. Although we serve agricultural data, we respect all privacy regulations. We store minimal user personal data and implement secure consent parameters for all tracking systems.
3. SaaS Dashboards & Integrations
Yes. We provide REST APIs and support GeoJSON coordinate webhooks, allowing seamless integrations with John Deere Operations Center, Climate FieldView, and custom corporate databases.
Yes. Farm managers can configure localized alert triggers so that any high-stress NDVI variance automatically sends SMS coordinate alerts to field workers.
Yes. The AI Assistant query interface has been optimized for low-bandwidth environments. By routing compressed JSON responses rather than rich images, it functions reliably over weak connections.
Yes. Users can download field health indices as Shapefile (SHP), GeoJSON, or KML format for direct upload to tractor autosteer and variable-rate applicator systems.
Yes. By analyzing dew point, relative humidity, and canopy temperature datasets, our predictive alerts warn operators 48 hours before potential frost strikes.
4. Seed Round Funding & Strategy
IPS CeresAI has been self-funded by its founders since incorporation in late 2025. This independence has allowed us to focus completely on technical proof-of-concepts before seeking external seed rounds.
We are seeking $1.5 million in seed capital. The funding will scale NVIDIA GPU clusters, expand drone field mapping hardware, and secure key research talent.
We operate on a SaaS subscription model priced per hectare per year. For agribusinesses and cooperatives, we offer bulk discount parameters and dedicated API integration gates.
We mitigate risks by locking multi-year research partnerships with regional farming cooperatives and running automated validation metrics on model predictions before production deployments.
Interested institutional investors can reach our co-founder directly via the contact form by selecting the "Investor Inquiry" flag, or email contact@ipsazamgarh.in for access to the pitch deck repository.