ICAR Personnel Management System

Executive Record Sheet
NameDr. S. Mukhopadhyay
ERP ID008616
Present DesignationPr. Scientist
Cadre TypeScientist (incl. SS (CAS), PS (CAS))
Date of Birth (MM/DD/YYYY)08/10/1961
State of DomicileWest Bengal
Mother TongueBangla
Email Addresssubratajee@hotmail.com
Educational Qualifications (From Graduation Onwards)
DegreeFromToInstitutionThesis Title (If any)
Degree01/Jul/198201/May/1985Calcutta UniversityTowards Unified Concept of Laterisation
History of Posting
S.No.DesignationName of Institute/ OrganizationOrganization /Posting TypeFromTo
1 Senior Scientist.National Bureau of Soil Survey and Land Use planning,NBSSLUP (RS) , Calcutta 22-Jun-201111-Aug-2016
2 Senior Scientist.National Bureau of Soil Survey and Land Use planning,NBSSLUP (RS) , Calcutta 12-Aug-201631-Aug-2016
3 Senior Scientist.National Bureau of Soil Survey and Land Use planning,NBSSLUP (RS) , Calcutta 01-Sep-201631-Jan-2017
4 Senior Scientist.National Bureau of Soil Survey and Land Use planning,NBSSLUP (RS) , Calcutta 01-Feb-2017 
Training Details
Program NameCountryVenueFromToProgram Organized by
Geographic Information SystemINIIT Kanpur, Kanpur1/5/1998 12:00:00 AM1/9/1998 12:00:00 AMIIT Kanpur
PG course on Remote sensing and GISINIIRS, Dehradun10/3/1998 12:00:00 AM6/30/1999 12:00:00 AMCSSTEAP
Refresher course on Information Technology in ArgicultureINNAARM, Hyderabad2/5/2003 12:00:00 AM2/25/2003 12:00:00 AMNAARM
Project Report
S.No.YearTitle of PublicationName of PublisherCitation
12017Land resource inventory of Kadwa block, Katihar district, Bihar on 1:10,000 scale for optimal agricultural land use planning, using geo-spatial techniNBSS&LUP, Nagpur 
22016Area prioritisation for land use planning in some selected blocks of Bankura, Puruliya and Paschim Medinipur districts - a remote sensing and GISICAR-NBSS&LUPMukhopadhyay.S., Nayak, D.C. and Singh, S.K. (2016), Area prioritisation for land use planning in some selected blocks of Bankura, Puruliya and West
S.No.YearTitle of PublicationName of PublisherCitationISBN Number
12017Characterizing spatial variability of soil properties in alluvial soils of India using geostatistics and geographical information system.Archives of Agronomy and Soil ScienceReza, S.K., Nayak, D.C., Mukhopadhyay, S., Chattopadhyay, T. and Singh, S.K. 2017. Characterizing spatial variability of soil properties in alluvial s 
22016Mapping of Block Level Soil Fertility Status of Dumka District, Jharkhand using GPS and GISIndian Journal of Fertilisers  
32016Characterization, Classification and Evaluation of Soil Resources in Coastal Eco-system – A Case Study of Gosaba BlockAgropedology  
42015Characterization of landforms and soils in complex toposequence of Subarnarekha catchment, Chhotanagpur plateau using Remote Sensing and GIS.Agropedology  
52015Spatial distribution of soil physical properties of alluvial soils: a geostatistical approach.Archives of Agronomy and Soil Science,  
Patent, Copyright, Trademark etc.
Externally Funded Projects
Career Profile
Cadre NameDateMode of recruitment (CAS/DR)
Pr. Scientist (10000)22 Jun 2015CAS
Five Major Contributions
S.No.Major Contribution
1 A model has been developed by using remote sensing and GIS along with soil resource inventory wherein the real time difference in practice of cropping between the suggested land use and the actual land use in a particular region can be ascertained. The model further identifies and demarcates the areas where cultivation is not being done according to the suggested land use. This will immensely help in understanding those specific areas where maximum thrust has to be given in implementing the suggested land use and their distribution.
2 A method has been developed through multi-criteria analysis to charecterise the lands and identify the best suitable land for agriculture and also the most critical land so that appropriate conservation methods may be recommended. An open ended parametric analysis carried out by using slope, erosion, land capability classification, Storie index, present land use and productivity index (Riquier model) identifies the priority areas. The identified critical areas were further supplemented by watershed priotisation achieved through morphometric and surface runoff studies.
3 A methodology has been developed through which small scale soil information (1:50.000) can be judiciously utilized along with a detailed large scale landform map depicting the finer boundaries for various physiographic units along with minimum soil samplings to produce a large scale (1:10,000) soil map. This method can greatly reduce time, manpower and money for preparation of large scale soil map that will be helpful in suggesting village level land use plan.
4 Web and mobile based farmer’s advisory hosted for the state of West Bengal (www.wbagrisnet.gov.in & TD.WBAGRS) towards suggesting site specific nutrient management practices, including type and amount of fertilizers, organic matter, soil ameliorants, methods and time of application for different land uses in various climatic conditions. The recommendations for all the major crops, for all the villages, for all the cropping seasons are readily available to the farming community which culminate to increased productivity
5 Protocol for the soil nutrient mapping of Eastern and the North Eastern region of the country has been developed. Starting from plotting of grids at various intervals to the sampling of the soils from grid points has been standardized. Interpolation of soil nutrient parameters of each points were achieved through Spline and Inverse Distance Weighted methods and thematic maps were prepared.