Contact Dr Niranjan Panigrahi
Niranjan Panigrahi completed his B.S. and M.S. in Botany from the Utkal
University of Odisha, India. My specialization in M.S. was “Biochemistry and
molecular biology”. I learn different subjects during my B.S. and M.S., but one
subject I found very interesting was crop production systems and its adaptation
to different abiotic stress. This interest led me to pursue Master of
Technology in Agricultural Systems and Management at IIT Kharagpur, India. My Mtech.
Dissertation topic was “Linkage of agricultural farmland and river run-off
nutrients (phosphorous) with macrophytes proliferation in Chilika lagoon”. The
idea was to look for a relationship among all the catchment specific end members
and their interaction in a catchment based wetland systems.
I decided to pursue a PhD in the Agricultural and Food Engineering Department,
IIT Kharagpur. My research work during PhD includes development of field and
controlled experiments for collecting crop phenotypic information such as
physiological and biochemical changes under water stress using high-end
technology such as spectroradiometer. I have expertise on analysing spectral
reflectance data for crop phenotyping from a crop canopy data. In addition to
that, I have experience in working with crop modelling using DSSAT, machine
learning on Matlab and plotting in Sigmaplot software. During my PhD, I have
also worked as a teaching assistant for the undergraduates and postgraduates.
It has helped me to learn and prepared me for the challenges in my research
Niranjan Started his postdoctoral research career at Cranfield University in May 2019.
Niranjan has been involved with different research projects during his tenure as a research fellow at the School of Water, Energy, and Environment, Cranfield University.
- Project 1: Improving irrigation management to enhance the livelihoods of smallholder banana growers in the post-conflict region of Magdalena, Colombia (Innovate UK funding)
- Project 2: Innovations in soil and irrigation management to support African vegetable production and rural livelihoods (Innovate UK funding)
- Project 3: Development of a rainwater harvesting system design tool for horticultural polytunnels (Kent County Council, UK funding)
- Project 4: Green Gold-Blue Water: Managing drought risks in Avocado expansion in Africa (Innovate UK funding)
- Project 5: Hydroponic strawberry production – an updated review of water and nitrogen benefits (Speciality Produce Ltd funding)
- Project 6: Potential for scaling up indigenous rainwater harvesting techniques in semi-arid regions of India (NERC funding)
- Project 7: Supporting transformative adaptation and building equitable resilience to drought for sustainable development (UKRI-GCRF)
- Project 8: Climate Change Risk Assessment & Food Security for Israeli Agriculture Sector (Israel Ministry of Agriculture)
- Project 9: Prototype Planning Tool for Green Hydrogen Generation and Use in UK Agriculture (Innovate UK)
- Project 10: Supporting collaboration through innovative water-sharing tool for high-value irrigated agriculture (Innovate UK)
Articles In Journals
- Majeed I, Purushothaman NK, Chakraborty P, Panigrahi N, Vasava HB & Das BS (2023) Estimation of soil and crop residue parameters using AVIRIS-NG hyperspectral data, International Journal of Remote Sensing, 44 (6) 2005-2038.
- Zubelzu S, Panigrahi N, Thompson AJ & Knox JW (2023) Modelling water fluxes to improve banana irrigation scheduling and management in Magdalena, Colombia, Irrigation Science, 41 (1) 69-79.
- Dash PK, Panigrahi N & Mishra A (2022) Identifying opportunities to improve digital soil mapping in India: a systematic review, Geoderma Regional, 28 (March) Article No. e00478.
- Yadav B, Patidar N, Sharma A, Panigrahi N, Sharma RK, Loganathan V, Krishan G, Singh J, Kumar S & Parker A (2022) Assessment of traditional rainwater harvesting system in barren lands of a semi-arid region: a case study of Rajasthan (India), Journal of Hydrology: Regional Studies, 42 (August) Article No. 101149. Dataset/s: 10.17862/cranfield.rd.13348424
- Panigrahi N & Das BS (2021) Evaluation of regression algorithms for estimating leaf area index and canopy water content from water stressed rice canopy reflectance, Information Processing in Agriculture, 8 (2) 284-298.
- Panigrahi N, Thompson AJ, Zubelzu S & Knox JW (2021) Identifying opportunities to improve management of water stress in banana production, Scientia Horticulturae, 276 (January) Article No. 109735.
- Swain SR, Chakraborty P, Panigrahi N, Vasava HB, Reddy NN, Roy S, Majeed I & Das BS (2021) Estimation of soil texture using Sentinel-2 multispectral imaging data: An ensemble modeling approach, Soil and Tillage Research, 213 (September) Article No. 105134.
- Chakraborty P, Das BS, Vasava HB, Panigrahi N & Santra P (2020) Spatial structure, parameter nonlinearity, and intelligent algorithms in constructing pedotransfer functions from large-scale soil legacy data, Scientific Reports, 10 (1) Article No. 15050.
- Singh K, Majeed I, Panigrahi N, Vasava HB, Fidelis C, Karunaratne S, Bapiwai P, Yinil D, Sanderson T, Snoeck D, Das BS, Minasny B & Field DJ (2019) Near infrared diffuse reflectance spectroscopy for rapid and comprehensive soil condition assessment in smallholder cacao farming systems of Papua New Guinea, CATENA, 183 (December) Article No. 104185.
- Kumar A, Nayak A, Das B, Panigrahi N, Dasgupta P, Mohanty S, Kumar U, Panneerselvam P & Pathak H (2019) Effects of water deficit stress on agronomic and physiological responses of rice and greenhouse gas emission from rice soil under elevated atmospheric CO2, Science of the Total Environment, 650 (February) 2032-2050.
- Singh K, Vasava HB, Snoeck D, Das BS, Yinil D, Field D, Sanderson T, Fidelis C, Majid I & Panigrahi N (2019) Assessment of cocoa fertiliser needs using soil types and soil spectral analysis, Soil Use and Management, Early online (3).
- Panigrahi N & Das B (2018) Canopy spectral reflectance as a predictor of soil water potential in rice, Water Resources Research, 54 (4) 2544-2560.
- Panigrahi N, Bhol C & Das B (2016) Rapid assessment of black tea quality using diffuse reflectance spectroscopy, Journal of Food Engineering, 190 (December) 101-108.