Apollo Product Control Layer
From Academic Prototype to an Industry-grade Autonomous Agriculture Platform
Apollo Krishi Rakshak now operates as a digital command center: live telemetry simulation, real weather feed, AI inference workspace, and contributor-grade modules connected to Apollo paper and presentation tracks.
Live Operations Dashboard
Real-time style monitoring for field performance, mission health, and crop risk signals.
Field Telemetry Stream
LiveMission Status Grid
Auto SyncLive Weather Node (Solapur)
FetchingTemperature--
Wind--
Rain Forecast--
Powered by open weather API integration on page load.
AI Inference Workspace
Upload crop image, run browser-side pre-analysis, and optionally call deployed FastAPI inference endpoint.
Inference Controls
Result Console
Image preview will appear here.
Awaiting input. Upload an image and run AI analysis.
About The Platform
This portal is designed as the unified presentation and collaboration layer for Apollo. It provides a direct path to individual student work, technology deep-dives, and continuity with the existing Apollo paper and presentation website.
The system aligns academic rigor with production intent: traceable ownership, modular architecture, and clean roadmap expansion for ROS2 robotics fleets, landers, rovers, and autonomous farm operations.
Apollo Ecosystem Links
Apollo Presentation Website
Primary narrative site for Apollo product story, achievements, and demonstrations.
Open Presentation SiteApollo Research / Paper Track
Publication-oriented track for journals, technical papers, and submission-ready documents.
Open Paper TrackFull Live Detection Product
Launch the full-stack crop detection product with frontend and backend integration.
Open Technology LaunchpadCollaboration Intelligence
Track student ownership, module maturity, and deployment readiness from one place.
Open Team Apollo WorkspaceFuture Scope
Near-Term
Scale crop-disease intelligence and precision intervention workflows across pilot farms.
Mid-Term
ROS2 powered autonomous field robots with distributed mission planning and telemetry.
Long-Term
Lander and rover class autonomous agriculture systems for resilient all-terrain operations.