Technology​

At Terraflux, we combine satellite analytics, drone intelligence, and AI-driven models to deliver precise, real-time insights for modern agriculture. Our technology stack integrates remote sensing, machine learning, geospatial mapping, and cloud automation to transform raw data into actionable decisions for farmers, enterprises, and government projects.

Trusted by Farmers & Businesses

At Terraflux, our commitment to precision agriculture and advanced geospatial intelligence is reflected in the satisfaction of our clients. From farmers and agri-enterprises to government agencies and research institutions,

our technology-driven solutions have delivered measurable results—improving productivity, reducing risks, and enabling smarter, data-backed decisions.

Chemical-Free​

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Fresh & Healthy​

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100% Organic​

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01. Satellite Data Sources (Sentinel, Landsat, etc.)

We leverage globally trusted satellite missions such as Sentinel, Landsat, MODIS, PlanetScope, and other commercial constellations to deliver reliable, continuous, and scalable agricultural insights. These multi-spectral datasets help monitor crop health, soil moisture, vegetation growth, and climate impacts across large areas with consistent accuracy. By integrating multiple satellite sources, we provide farmers and agribusinesses with timely, repeatable, and cost-efficient intelligence for better decision-making.

Multi-spectral data for crop health, vegetation indices, and growth monitoring
Frequent revisit cycles for near real-time analysis and early issue detection
Long-term historical data for trend analysis and yield forecasting
Large-area coverage: ideal for village, district, and state-level monitoring
Integration of optical and radar datasets for all-weather, cloud-free insights
Cost-effective and scalable monitoring for small and large farms alike

02. Drone & UAV Integration

Ultra-high-resolution imagery for detailed crop and soil assessment
Multispectral, RGB, and thermal drone surveys for advanced diagnostics
Accurate plant counting, gap detection, and canopy measurement
Real-time field monitoring with automated flight plans
Precise mapping for micro-zoning, irrigation, and input optimization
Ground-truthing support to validate satellite-based analytics

03. GIS & Remote Sensing Tools

We use advanced GIS and remote sensing tools to transform raw satellite and drone data into meaningful, actionable insights. Through spatial analysis, image processing, and geostatistical modelling, we help farmers, agribusinesses, and environmental projects make informed decisions with high accuracy. Our tools enable precise mapping, monitoring, and assessment of crops, soil, water, and landscape dynamics.

High-resolution mapping for crop health, soil conditions, and land use ​
Advanced image classification and vegetation index generation
Spatial modelling for water resources, terrain analysis, and farm planning
Automated data processing workflows for fast and accurate analytics
Integration of satellite, drone, and ground data into unified GIS platforms
Custom dashboards and map visualizations for easy data interpretation

04. AI & Data Analytics

Our platform uses cutting-edge AI and data analytics to convert complex satellite, drone, and field data into clear, actionable intelligence. By applying machine learning, predictive modelling, and pattern recognition, we deliver insights that improve farm productivity, optimize resources, and support smarter environmental decisions.

AI-based crop health analysis and anomaly detection
Predictive models for yield forecasting and water requirement estimation
Machine learning algorithms for pest, disease, and stress identification
Data fusion of satellite, UAV, and ground-level observations
Automated trend analysis and season-long monitoring
Custom analytics dashboards for farmers, corporates, and policymakers

05. Mobile & Web Platforms​

Our mobile and web platforms provide a seamless digital experience, allowing users to monitor farms, access analytics, and make informed decisions anytime, anywhere. Designed for farmers, agribusinesses, and environmental professionals, the platform ensures fast, intuitive, and data-driven interactions powered by real-time geospatial intelligence.

User-friendly dashboards for farm monitoring and analytics​
Real-time access to satellite and drone-based insights
Mobile alerts for crop stress, weather risks, and field advisories​
Secure login and multi-user access for teams and organizations
Interactive maps for farm boundaries, NDVI, moisture, and more
Downloadable reports, charts, and datasets for easy sharing

06. IoT Sensors (Soil & Weather)

IoT-based soil and weather sensors provide real-time, on-ground data that helps farmers make precise and timely decisions. These sensors continuously monitor soil moisture, temperature, humidity, rainfall, and micro-climate conditions, enabling smarter irrigation, nutrient management, and crop protection. With accurate field-level insights, farmers can reduce risks, improve yield, and increase resource efficiency.

Real-time soil moisture monitoring to optimize irrigation and prevent water stress.
Soil temperature sensors for planting decisions, germination timing, and crop health.
Weather station data including humidity, rainfall, wind speed, and solar radiation.
Micro-climate alerts to predict frost, heat stress, or extreme weather events.
Smart irrigation control based on sensor thresholds and automated triggers.
Data integration with mobile/web dashboards for continuous monitoring and decision support.

07. GPS & GNSS-Based Field Operations

GPS and GNSS technologies bring precision, accuracy, and consistency to modern farming. By enabling exact field mapping, guided machinery movement, and precise input placement, these systems help farmers reduce wastage, save time, and improve overall productivity. Whether it’s planning field boundaries, monitoring farm activities, or executing machine operations with sub-meter accuracy, GPS/GNSS systems form the backbone of precision agriculture.

Accurate field boundary and plot mapping using GPS/GNSS coordinates.
Auto-guidance for tractors and farm machinery to minimize overlaps and skips.
Precise seed, fertilizer, and pesticide application through location-based input control.
Tracking of field activities such as tilling, sowing, spraying, and harvesting.
Improved resource efficiency by reducing fuel consumption and operational errors.
Integration with mobile dashboards for real-time monitoring and farm documentation.

08. Cloud Computing & Big Data Processing

Cloud computing enables fast, scalable, and secure processing of large agricultural datasets—from satellite imagery and drone maps to weather records and IoT sensor streams. With big data analytics, complex information is transformed into actionable insights for farmers, agribusinesses, and governments. This technology supports real-time decision-making, automation, predictive modelling, and seamless integration across all precision farming tools.

High-speed processing of satellite, drone, and sensor data on cloud servers.
Scalable storage for large geospatial datasets and multi-year farm records.
Real-time analytics dashboards for continuous monitoring of crop and soil conditions.
Predictive modelling using historical big data for yield, weather, and disease forecasts.
Secure data access and sharing across teams, devices, and platforms.
Automatic updates and synchronization between mobile apps, web portals, and field systems.

09. Variable Rate Technology (VRT)

Variable Rate Technology allows farmers to apply inputs—such as fertilizers, seeds, pesticides, and irrigation—at precise rates based on the unique conditions of each part of the field. Using satellite maps, soil data, drone imagery, and AI-driven analytics, VRT optimizes resource use, reduces waste, and increases productivity. It transforms conventional farming into data-driven, site-specific management for better yield and sustainability.

Zone-based application of seeds, fertilizers, and chemicals based on field variability.
Reduces input waste by applying exactly what each crop area needs.
Improves crop uniformity through precise nutrient and water distribution.
Uses satellite & drone maps to generate variable rate prescription files.
Compatible with GPS/GNSS-enabled farm machinery for automated execution.
Enhances profitability by lowering input costs and maximizing output.
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Mia Janne​

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