Department of Agricultural Statistics

NameDesignationQualificationSpecialized subjectPhoneEmail
Dr. D. V. PatelProfessor and HeadPh. D. (Agril. Statistics)Agril. Statistics0285-2672080 to 90 Ext. No. 558, 384agstat@jau.in

Faculty Strength (Current Position)

Sr NoName & DesignationQualificationExperience in yearsEmail ID
1

Dr. D. V. Patel 

Professor & Head

Ph. D. (Agril. Statistics)

Teaching: 24

Other: 06

dvpatel@jau.in
2

Dr. M. S. Shitap

Assoc. Professor

Ph. D. (Agril. Statistics)Teaching: 11

shitapmayur

2755@jau.in

3

Prof. A. P. Prajapati

Asstt. Professor

MCA (Computer Application)

M.Com. (Adv. Statistics)

M.Com. (Adv. Accountancy)

Teaching: 11

Other: 30

apprajapati@ jau.in
4

Dr. Raj C. Popat

Asstt. Professor

Pooled from Morbi

Ph. D. (Agril. Statistics)

Teaching: 1

Other: 2

rcpopat@jau.in

Technical Staff (Current Position)

Sr NoName & DesignationQualificationExperience in yearsEmail ID
1Ms. D.S. Gauswami Agril. OfficerB.Sc.(Hon.s) AgricultureOther: 10dsgauswami@jau.in

Mission, Goals and Objectives

Mission:

  • The Department is committed to provide excellence, innovative and effective services in education, research and transfer of technology programs.
  • The mission of the Department is to be a one of the premier department in the discipline of Agricultural Statistics

Goal:

  • To provide human resources, skills and technology required for sustainable development in the discipline of agricultural statistics by integrating education, research and extension activities.

Objectives:

  1. To provide under graduate education in agriculture, horticulture and allied sciences for the courses related to Agricultural Statistics and Computer Application.
  2. To guide the PG students in the Discipline of Agricultural Statistics
  3. To provide human resources, skills and technology required for teaching of various PG courses of Agricultural Statistics as well as other disciplines
  4. To provide facility for statistical analysis and advisory services to the PG students and scientists on various aspects of statistical analysis

Schemes/ Projects and Manpower

Scheme TypeBudget HeadName of the Scheme
Nonplan3126-1G-1 Tea
3226Establishment of Statistical Cell
5106Semester System
Plan12712-03Creating computer and communication facilities

At present, three non-plan schemes and one plan scheme are running in this department. Five teachers and five posts of supporting staff were sanctioned under various schemes.  Among these, one teaching post and two subordinate posts are vacant. The staff position of this department is given in Table-1. Details of teaching faculties are given in table-2.

Major activities of this department is categorised in UG Teaching, PG Teaching, Statistical Advisory Services, Research and other activities. Category wise detailed activity chart is shown below.

Departmental Activities

  • UG Teaching
  • Sc.(Hon.) Agriculture
  • Sc.(Hon.) Horticulture
  • Polytechnic in Agriculture
  • Polytechnic in Horticulture
  • PG Teaching
  • Sc.(Agri.) in Agricultural Statistics
  • D. in Agricultural Statistics
  • Service/Allied courses for M.Sc./Ph.D. Programme of other disciplines
  • Advisory Services
  • PG Students
  • PG Teachers and other faculty members
  • Scientists
  • Research Committees
  • Research
  • Project work
  • Optimum Plot Size and Shape
  • Time Series Analysis
  • Forecasting and Prediction Models
  • Development of computer programmes for Statistical Analysis

UG/Polytechnic Courses Offered by this department:

Sr NoCorse TitleDegreeSem.& CentreCredit Hours
Centre: J: Junagadh, M: Morbi, S: Sidsar/Junagadh
1Introductory mathematicsB.Sc.(Hon.s) Agri.I (J)1 (1 + 0)
2Introductory mathematicsB.Sc.(Hon.s) Agri.I (M)1 (1 + 0)
3Agricultural Informatics & AIB.Sc.(Hon.s) Agri.IV(J)3 (2 + 1)
4Agricultural Informatics & AIB.Sc.(Hon.s) AgriIV (M)3 (2 + 1)
5Basic & Applied Agril. StatisticsB.Sc.(Hon.s) Agri.IV(J)3 (2 + 1)
6Basic & Applied Agril. StatisticsB.Sc.(Hon.s) AgriIV (M)3 (2 + 1)
7RAWE (Ag. Stat. 7.3)B.Sc. (Hon.s) AgriVII(J)3 (2 + 1)
8Agricultural Informatics & AIB.Sc.(Hon.s) Horti.III(J)3 (2 + 1)
9ICT in HorticultureB.Sc.(Hon.s) Horti.V(J)3 (1 + 2)
10Basic Statistics and Experimental DesignsB.Sc.(Hon.s) Horti.V(J)3 (2 + 1)
11Agricultural InformaticsPolytechnic in Agri.IV (S)3 (2 + 1)
12Statistical MethodsPolytechnic in Agri.V (S)3 (2 + 1)
13Elementary Statistics & Computer Appli.Polytechnic in Horti.V (J)3 (2 + 1)

PG Courses Offered by this Department

Sr NoCorse TitleDegreeSem.Credit Hours
1Statistical MethodsM.Sc. (Agri.)Odd2+1
2Multivariate AnalysisM.Sc. (Agri.) / Ph.D.Odd2+1
3Sampling TechniquesM.Sc. (Agri.)Odd2+1
4Regression AnalysisM.Sc. (Agri.)Odd1+1
5Basic Sampling TechniquesM.Sc. (Agri.)Odd2+1
6Appilied Regression AnalysisM.Sc. (Agri.) / Ph.D.Odd2+1
7Experimental DesignsM.Sc. (Agri.)Odd2+1
8Design of ExperimentsM.Sc. (Agri.)Even2+1
9Statistical GeneticsM.Sc. (Agri.)Even2+1
10Experimental DesignsM.Sc. (Agri.)Even2+1
11Statistical Methods for Applied SciencesM.Sc. (Agri.)Even3+1
12Probability TheoryM.Sc. (Agri.)Even2+0
13Statistical InferenceM.Sc. (Agri.)Even2+1
14Master’s SeminarM.Sc. (Agri.)Even0+1
15Advanced Statistical MethodsPh. D.Odd2+1
16Simulation TechniquesPh. D.Odd1+1
17Advanced Data AnalysisPh. D.Even1+2
18Doctoral Seminar – IPh. D.Even0+1

PG Students Enrolled/Completed

YearM.Sc. (Agri.)Ph.D.
1981-200065
2000-201031
2011-201523
2016-202091
2021-2025104
Pursuing44

Provide Advisory Services to the PG Students/Teachers/Scientists on various statistical aspects

  • Selection of Experimental Design and preparing field layout
  • Sampling Techniques and Data Collection Methodology
  • Development of statistical models for prediction/forecasting
  • Data Scrutiny, Cleaning and Transformation
  • Application of New Data Science Technologies in Research
  • Data Analysis, Result Preparation, Conclusion and Interpretation

Infrastructure facilities

  • Classrooms
Sr. No.Class roomSize (Sq.m.)Seating CapacityPurposeUG or PG
1PG Classroom6856To teach the courses related to the Deptt. of Agril. StatisticsUG & PG
2Digital Classroom4555To conduct PG Seminar and workshop/ UG & PG TeachingUG & PG
  • Laboratory
Sr. No.Name of Lab.Laboratory Size (Sq.m.)Seating CapacityPurposeUG or PG
1UG Computer Laboratory8150Practical work of computer related coursesUG
2PG Computer Laboratory3520Statistical Analysis WorkPG/ Research
3Hardware & Network Laboratory2410Demonstration of computer hardware and network devicesUG / PG
  • List of Major Equipment's / Instruments / Software
Sr. No.Name of laboratoryName of Equipment / InstrumentQuantityPurchase price (Rs. in Lakh)
1UG Computer Lab.Computer System5021.22
2PG Computer Lab.Computer System208.30
3H & N Laboratory1.   Online UPS 10 KVA11.60
2.   Diesel Generator 15 KVA13.85
3.   All in One desktop23.40
4.   All in One (Print/Scan/Xerox)1
5.   Color laser Jet printer1
6.   OMR Scanner1
7.   Digitizing tablet1
8.   Network devices1
6Classroom/ UG LabOverhead Projector21.71
7UG & PG Computer Labs. & ClassroomsSplit AC 2 tones105.83
8UG/PG Computer LaboratoryM.S. Office Licence Software702.30

About JOSARDA:

JOSARDA (Junagadh Agricultural University Online System for Agricultural Research Data Analysis) is a web application designed to provide a seamless user interface for accessing the facilities of various agricultural research data analysis programs developed by Junagadh Agricultural University. This application supports a wide range of data analysis techniques, including data transformation, data analysis of various types of Experimental Designs such as CRD, RBD, FCRD, FRBD, LSD, Split Plot, Strip Plot, Regression Analysis, t-tests and a lot more type of data analysis. All these implemented through front end user interface and backend python scripts.

The system allows users to initiate data analysis requests based on their specific needs. Users can download sample Excel files, which help them structure their data correctly before analysis. Once the data is prepared in the required format, users upload the Excel file into the system. The uploaded file is processed according to the selected type of data analysis, where the system executes the corresponding Python script to generate the results.

After the analysis, the output is automatically formatted and generated as a PDF file. Users can then view the results, save them for future reference, or email the PDF directly from the application. Additionally, users have the option to download the result PDF to their local systems. JOSARDA simplifies complex data analysis tasks for researchers, farmers, and agricultural professionals by offering an accessible, automated, and efficient platform for processing agricultural research data.

JOSARDA LINK: https://josarda.jau.in/

Inaugurated by Hon. Minister of Gujarat for Agriculture, Farmer Welfare and Energy Shri Chimanbhai Saparia Date 19/08/2017

Practical work in UG Computer Laboratory

JOSARDA Web Application: Home Page & Admin Dashboard