Bridging cutting-edge technology and sustainable farming — from IoT-powered greenhouses to AI-driven crop diagnostics and controlled-environment cultivation for high-value crops.
Standardised soil-less systems for high-value vegetable production with optimal resource use and year-round yields.
Real-time monitoring of temperature, humidity, pH, moisture and light with automated decision support systems.
Hyperspectral and multispectral imaging combined with deep learning for early disease detection and nutrient stress.
Pioneering saffron cultivation in non-traditional regions and exotic vegetable production under protected conditions.
Specialised units operating under the Centre for Smart Agriculture, each focused on a high-impact technology domain. Click a centre to explore its work.
Advanced unmanned aerial imaging for precision agriculture — hyperspectral, multispectral, RGB, and thermal payloads delivering field-level crop intelligence.
Autonomous agricultural robots and AI-powered crop management systems for next-generation smart farming operations.
Real-time field sensor grids and edge-computing networks for soil, water, and atmospheric precision measurement.
The Centre for Smart Agriculture (CSA) at Centurion University of Technology and Management, Bhubaneswar, is a multidisciplinary research hub dedicated to transforming Indian agriculture through precision farming, controlled-environment cultivation, and digital technologies.
Our mission is to revolutionize farming practices and empower agricultural communities with cutting-edge technologies. Through IoT, AI, and data analytics integrated into everyday farming operations, our robust research enhances productivity, sustainability, and profitability.
From hydroponic vertical farms and IoT-powered greenhouses to AI-based crop health surveillance and saffron cultivation protocols, CSA serves as a living lab where students, faculty and industry partners co-create solutions for the future of food security.
To be a nationally recognized centre of excellence in smart and precision agriculture, driving food security through innovation and industry-ready talent.
Advance research in controlled-environment farming, provide hands-on training, and translate discoveries into startups and policy impact for Indian farmers.
A four-year undergraduate programme combining agronomy, precision farming, IoT, and data analytics to produce farm-tech-ready graduates.
Postgraduate specialisation in remote sensing, crop modelling, controlled environments and advanced agronomic research methods.
Intensive short-term certification covering design, operation and commercialisation of hydroponic and aeroponic systems.
Automated poly-houses with IoT-based climate control, fertigation scheduling and sensor-driven systems creating ideal growing conditions for off-season and exotic crops with year-round production.
Greenhouse · Polyhouse · AutomationNFT, DWC and vertical hydroponic towers for lettuce, spinach, exotic herbs and high-value vegetables. Closed-loop nutrient recycling minimises water use and ensures consistent, pesticide-free year-round yields.
NFT · DWC · Vertical TowerReal-time multi-sensor monitoring of soil moisture, temperature and rainfall with automated drip and sprinkler control — reducing water consumption by up to 40% while maximising crop productivity and quality.
IoT · Drip · Precision WaterPlastic mulch films combined with drip irrigation for soil moisture conservation, weed suppression and soil temperature management — improving crop quality, reducing labour costs and conserving resources.
Mulching · Weed Control · Soil ConservationSoil-less cultivation where plant roots are suspended in air and misted with nutrient solution — enabling faster growth rates, superior root oxygenation and up to 95% water savings over conventional farming.
Aeroponics · Nutrient Mist · Water SavingUAV-based crop scouting, precision spraying and NDVI mapping for real-time field health assessment. Enables large-scale monitoring, early pest alerts and optimised spray coverage across farm areas.
UAV · NDVI · Precision SprayTotal: 154 publications | Impact factors sourced from JCR 2023/2024. Select a year to view publications.

Dean, MSSSoA

Associate Dean, Extension MSSSoA

Associate Dean, SoABE

Associate Professor

Associate Professor

Assistant Professor

Assistant Professor

Assistant Professor

Associate Professor

Associate Professor

Assistant Professor

Assistant Professor
Funded by Harvest Harmonics, Florida, USA. Large-scale trial assessing biostimulant efficacy across multiple crop varieties.
Sponsored by Heetu Chemicals, Maharashtra. Evaluating adjuvant performance on key commercial crops.
Real-time, non-destructive identification of fungal, bacterial and nutritional stress in hydroponic lettuce using spectral signatures.
IoT-integrated actuator systems modulating temperature, humidity and CO₂ to maintain optimal growing windows with up to 40% energy saving.
Adapting controlled-environment protocols for Odisha conditions — corm dormancy, chilling requirements and photoperiod manipulation.
Validated imaging system for accurate real-time crop health assessment via hyperspectral & multispectral technology.
Enhanced greenhouse precision through automated environmental control, reducing energy consumption by up to 40%.
Standardised hydroponic systems enabling efficient, high-quality production of exotic vegetables year-round.
Optimised protocols enabling saffron cultivation in non-traditional Eastern Indian regions with consistent yield.
| # | Programme | Duration | Participants |
|---|---|---|---|
| 01 | Agro-Industrial Attachment 1.0 | 17 Jan – 12 Mar 2023 | 71 |
| 02 | Agro-Industrial Attachment 2.0 | 05 Jun – 05 Aug 2023 | 13 |
| 03 | Summer Internship for BTech Students | 18 Jun – 07 Jul 2023 | 06 |
| 04 | Agro-Industrial Attachment 4.0 | 05 Jun – 05 Aug 2024 | 09 |
| 05 | Hands-on Training — Birsa Agriculture University | 10–15 Jan 2024 | 15 |
| 06 | Hands-on Training on Smart Agriculture for PG Students | 02–08 Apr 2024 | 31 |
| 07 | One-Week Workshop — Sri Sri University, Cuttack | 20–27 May 2024 | 06 |
| 08 | Summer Internship | 20 May – 08 Jun 2024 | 04 |
| 09 | One-Week Training for CUTM PG Students | 15–21 Apr 2025 | 25 |
| 10 | Lecture Series on Python | 01–15 Jun 2025 | 29 |
| 11 | Three-Day Webinar on Unlocking the Power of AI Tools | 05–07 Aug 2025 | 91 |
| 12 | Two-Day Training on Saffron Cultivation at Paralakhemundi | 23–24 Oct 2025 | 32 |
| 13 | Two-Day Training on Saffron Cultivation at Paralakhemundi | 28–29 Oct 2025 | 10 |
| 14 | Smart Agriculture Technology — Netaji Subhash University, Jharkhand | 22–27 Dec 2025 | 23 |
















A faculty-led limited liability partnership focused on commercial hydroponic farming systems, translating academic research into scalable food production businesses for the Odisha market.
Faculty Startup · LLPDriving research-to-market transition in parallel farming techniques — implementing precision agriculture solutions developed in CUTM labs into commercial operations across Eastern India.
Faculty Startup · LLPStudent-led club specialising in saffron cultivation under controlled environments — imparting practical skills in this high-value crop to the next generation of agronomy leaders.
Student ClubAn active student community developing hands-on experience with IoT devices, drone applications and digital tools that are transforming modern agricultural practice in India.
Student ClubInterested in research collaboration, student admissions, or training programmes? Reach out to our team at Centurion University, Bhubaneswar.
Advancing precision agriculture and environmental research through state-of-the-art unmanned aerial systems — delivering hyperspectral, multispectral, RGB, and thermal imaging insights directly from the sky.
Our drone fleet carries cutting-edge imaging payloads — transforming raw aerial data into actionable agricultural insights for precision farming and environmental research.
Hyperspectral
Capture hundreds of contiguous spectral bands far beyond visible light. Our hyperspectral payloads deliver precise spectral signatures for early disease detection, canopy chemical analysis, soil composition mapping, and nutrient deficiency identification at sub-field resolution.
400–1000 nm · 200+ bands
Multispectral
Compute key vegetation indices — NDVI, NDRE, EVI, and SAVI — across large farm landscapes in a single mission. Enables large-scale crop monitoring, yield prediction modelling, irrigation efficiency analysis, and disease outbreak hotspot mapping for data-driven farm management.
NDVI · NDRE · EVI · SAVI
RGB Imaging
Ultra-high-resolution true-color aerial photography for field mapping, crop stand assessment, automated plant counting, weed detection, and photogrammetric 3D terrain reconstruction. Ideal for progress documentation, area measurement, insurance surveys, and precision field boundary delineation.
Up to 2 cm/pixel GSD
Thermal
Detect water stress, irrigation anomalies, and disease hotspots through precision temperature-variance mapping. Thermal surveys enable crop water management, early blight and fungal detection, livestock heat monitoring, and solar panel inspection for agri-energy installations.
LWIR · 7.5–14 μm bandEvery flight generates actionable maps and indices — from soil chemistry and vegetation health to 3D terrain models. Below are real outputs produced by our drone imaging systems in field operations.
Multispectral
MicaSense RedEdge-MX derived NDVI, NDRE, GNDVI, SAVI, EVI and MCARI maps computed in a single flight. Reveals spatial variability in canopy vigour, chlorophyll, and biomass across the field.
Multispectral
Normalized Difference Vegetation Index map showing photosynthetically active zones. High NDVI (dark red) indicates dense healthy canopy; low values (blue) indicate bare soil or stressed vegetation.
Multispectral
Red-Edge Normalized Difference index sensitive to chlorophyll and nitrogen content. More precise than NDVI for dense canopies — ideal for early nutrient deficiency and late-season stress detection.
Multispectral
DATT index correlates strongly with leaf chlorophyll content and canopy LAI. Used to quantify the impact of disease pressure and nutrient limitations on overall vegetation productivity.
Hyperspectral
HIGH confidence
Relative SOC distribution mapped with HIGH model confidence. Dark zones indicate carbon-rich organic matter — a key indicator of soil fertility, water-holding capacity, and long-term productivity.
Hyperspectral
Relative Total Nitrogen content derived from VNIR hyperspectral reflectance. Guides variable-rate fertiliser application — reducing input costs while ensuring crops receive optimal nutrition where needed.
Hyperspectral
Spatial pH variability across the field from alkaline (blue) to acidic (red) zones. Critical for lime application planning — ensuring optimal nutrient availability and preventing aluminium toxicity in crops.
Hyperspectral
Relative soil moisture distribution inferred from hyperspectral VNIR reflectance. Enables precision irrigation scheduling — targeting dry zones precisely and preventing over-watering in already-moist areas.
Hyperspectral
CEC quantifies the soil's ability to retain positively charged nutrient ions (Ca²⁺, Mg²⁺, K⁺). High CEC soils are more fertile and buffer pH better — essential for tailoring fertiliser and amendment plans.
Hyperspectral
Relative clay fraction derived from spectral absorption features in the VNIR range. Guides tillage management and irrigation depth decisions — clay-rich zones retain water longer and respond differently to amendments.
Hyperspectral
Iron oxide content mapped via goethite/haematite absorption features in the VNIR spectrum. Indicates soil weathering degree and redox conditions — linked to phosphorus fixation and micronutrient availability.
RGB
High-resolution digital elevation model (DEM) of Nayan Sagar pond (50 cm resolution) created by photogrammetric processing of RGB drone imagery. Contour lines and inlet/outlet points are precisely located for watershed management planning.
Hyperspectral
VNIR mean reflectance curve (400–1000 nm) with key absorption features annotated — Fe³⁺ charge transfer, haematite shoulder, SOC visible darkening, and goethite/FeOx bands. Foundation for all soil property models derived from hyperspectral data.