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.
Our current project is to design a decision support system for irrigation manangement with reference to the smallholding banana farmers of Magdalena, Colombia.
Articles In Journals
- 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.
- Panigrahi N & Das BS (2020) Evaluation of regression algorithms for estimating leaf area index and canopy water content from water stressed rice canopy reflectance, Information Processing in Agriculture, Available online 6 July 2020.
- 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.