Agriculture drone spraying crops
INCUBATED AT FTBI, NIT ROURKELA

Where precision
takes flight.

Eunora Technologies bridges the gap between traditional farming and modern innovation. We use drones, IoT, and AI to deliver actionable insights for a sustainable agricultural future.

Smart Farming
INCUBATED AT

Foundation for Technology & Business Incubation (FTBI)

NIT Rourkela

Who We Are

Bridging Tradition with Innovation

Eunora Technologies is an innovative agritech startup born from the prestigious ecosystem of NIT Rourkela. We are on a mission to solve the unpredictability of farming by leveraging cutting-edge technology to bring precision, reliability, and profitability back to Indian agriculture.

Precision Focus

Targeting resources exactly where needed to minimize waste and maximize yield.

Research Backed

Developed with rigorous R&D and academic backing from NIT Rourkela.

FarmerResearcherEngineer

Trusted by farmers & institutions alike.

Book Your Drone Spray

Fast, precise, and affordable drone spraying for your crops. Book in just 30 seconds — no OTP required.

30%
Yield Increase
50%
Cost Reduction
90%
Less Water
10k+
Acres Managed

Our Technology

Precision at Every Step

Drone Fleet

Autonomous high-payload drones designed for precision application and high-res imaging.

AI Analytics

Proprietary machine learning models trained on millions of crop data points.

Real-time IoT

Ground sensors integrated with aerial data for a complete farm digital twin.

Actionable Maps

Prescription maps that plug directly into automated farming machinery.

Deep Dive

Multispectral Imaging

Healthy plants reflect light differently than stressed plants. While human eyes only see visible light (Red, Green, Blue), our drones are equipped with Multispectral Sensors that capture data across 5 discrete spectral bands, including Near-Infrared (NIR) and Red Edge.

By analyzing how sunlight reflects off the crop canopy, we can determine the chlorophyll content and cell structure integrity, effectively "scanning" the plant's biological performance before visual signs appear.

Spectral Analysis
5 Bands
Blue, Green, Red,
Red Edge, NIR

The Data Lifecycle

From flight to actionable insight in 24 hours.

1. Aerial Survey

Our automated drones fly a pre-programmed path over your field, capturing thousands of overlapping images with centimeter-level precision.

2. AI Processing

Images are stitched together into an orthomosaic. Algorithms calculate vegetation indices like NDVI to create a biological map.

3. Prescription

We generate a health map. Green areas are healthy; red/yellow indicate stress requiring immediate targeted intervention.

Early detection saves up to 30% in potential losses.

Identify problems up to 10 days before they are visible to the naked eye.

Apply fertilizer only where needed, significantly reducing chemical runoff.

Our Services

Solutions Tailored for Growth

Precision Drone Spraying
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Precision Drone Spraying

Automated, uniform agro-chemical application using heavy-lift drones to reduce chemical costs and health risks.

Multispectral Health Diagnostics
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Multispectral Health Diagnostics

Early detection of pests, diseases, and nutrient deficiencies using advanced NDVI & NDRE imaging.

Geo-Spatial Farm Mapping
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Geo-Spatial Farm Mapping

Centimeter-level accurate 3D topographic maps for land management and irrigation planning.

Use Cases

Early Pest Detection

Identify insect infestations before they spread through the entire crop canopy.

VRA Fertilization

Prescription maps for nitrogen application based on real-time plant requirements.

Flood Mitigation

Detailed elevation models to predict water flow and prevent crop drowning.

FTBI NIT Rourkela
Ministry of Agriculture
DPIIT
Startup Odisha
Ministry of Electronics & Information Techonology, Government of India
FTBI NIT Rourkela
Ministry of Agriculture
DPIIT
Startup Odisha
Ministry of Electronics & Information Techonology, Government of India
FTBI NIT Rourkela
Ministry of Agriculture
DPIIT
Startup Odisha
Ministry of Electronics & Information Techonology, Government of India