Dr. Tufleuddin Biswas


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Code(Credit) : ASAI 2101(1-1-0)

Course Objectives

  • To enhance and optimize agricultural processes using information and communication technologies.  PO7
  • It aims to improve productivity, efficiency, and sustainability in farming practices by integrating data-driven approaches, precision agriculture, and decision support systems.    
  • Its goals include maximizing crop yield, minimizing resource wastage, and enabling farmers to make informed decisions based on real-time data and analytics.

Course outcome (CO-POs Mapping)


COs Course outcomes Mapping COs with POs 
CO1 Understanding the basic concept  and application of computer in Agriculture PO1
CO2 Application of e-Agriculture for increasing farm income PO1, PO9
CO3 Developing knowledge of Agricultural database management system PO7, PO9


PO1   Knowledge Enhancement

PO7   Data Handling: Collect, analyze and interpret scientific data.

PO9   Computational Skills: Recognize, analyze problems and plan strategies for their solutions with the help of computer skills.

Course Syllabus


Introduction to Computers, Anatomy of Computers, Memory Concepts, Units of Memory, Operating System, definition and types, Applications of MS-Office for creating, Editing and Formatting a document, Data presentation, tabulation and graph creation, statistical analysis, mathematical expressions, Database, concepts and types, creating database, uses of DBMS in Agriculture, Internet and World Wide Web (WWW), Concepts and components.

Computer Programming, General Concepts, Introduction to Visual Basic, Java, Fortran, C/ C++, etc, concepts and standard input/output operations.

e-Agriculture, concepts, design and development. Application of innovative ways to use information and communication technologies (IT) in Agriculture. Computer Models in Agriculture: statistical, weather analysis and crop simulation models, concepts, structure, inputs-outputs files, limitation, advantages and application of models for understanding plant processes, sensitivity, verification, calibration and validation. IT application for computation of water and nutrient requirement of crops, Computer-controlled devices (automated systems) for Agri-input management, Smartphone mobile apps in Agriculture for farm advises, market price, postharvest management etc; Geospatial technology, concepts, techniques, components and uses for generating valuable agri-information. Decision support systems, concepts, components and applications in Agriculture, Agriculture Expert System, Soil Information Systems etc for supporting Farm decisions. Preparation of contingent crop-planning and crop calendars using IT tools.


Study of Computer Components, accessories, practice of important DOS Commands. Introduction of different operating systems such as windows, Unix/ Linux, Creating, Files & Folders, File Management. Use of MS-WORD and MS Power-point for creating, editing and presenting a scientific Document. MS-EXCEL - Creating a spreadsheet, use of statistical tools, writing expressions, creating graphs, analysis of scientific data, handling macros. MS-ACCESS: Creating Database, preparing queries and reports, demonstration of Agri-information system. Introduction to World Wide Web (WWW) and its components. Introduction of programming languages such as Visual Basic, Java, Fortran, C, C++. Hands on practice on Crop Simulation Models (CSM), DSSAT/Crop-Info/CropSyst/ Wofost. Preparation of Inputs file for CSM and study of model outputs, computation of water and nutrient requirements of crop using CSM and IT tools. Use of smart phones and other devices in agro-advisory and dissemination of market information.Introduction of Geospatial Technology, for generating information important for Agriculture.Hands on practice on preparation of Decision Support System.Preparation of contingent crop planning.


John Walkenbach, Herb Tyson, Michael R.Groh, Faithe Wempen, Microsoft Office 2010 Bible

Bangia,Learning Ms Office 2010

Prof. Satish Jain and M.Geetha, MS-Office 2010 Training Guide

Johnson, Microsoft Office 2010…….on Demand

Kate Shoup, Microsoft Office 2010

Melanie Gass, It’s All about You! Office 2010

Nancy Conner and Matthew MacDonald, Office 2010: The Missing Manual

Introductory Agr-Informatics, Subrat Kumar Mahapatra (Jain Brothers)

Theory: Session Plan

Session 1

Introduction to fundamentals of computer (Lecture 1)

Introduction to Computer 

Introduction to computer

Session 2 

Anatomy of computers, Memory concept ((Lecture 2 &3))

Anatomy of computer (pdf)

Anatomy of computer  (Video)

Computer Memor (Video)

Computer memory

Session 3

Session 4

Applications of MS-Office for creating, Editing and Formatting a document & Statistical analysis, mathematical expressions using MS Excel 

MS Office (Lecture 5-7)

Session 5

Database, concepts and types, creating database, uses of DBMS in Agriculture, Internet and World Wide Web (WWW), Concepts and components.

(Lecture 8 and 9)


DBMS , use of DBMS in Agriculture


Session 6

e-Agriculture and computer models

(Lecture 10 &11)


Computer models in Agriculture


Session 7

IT application, smart phone mobile apps, Geospatial technology

(Lecture 12 &13)

Geo SPA_DSS_AGriExpert_Soil Inform

Top 10 Agricultural Mobile Apps for Farmers in 2021

Session 8

Practice Session 1

Study of Computer Components: Booting Of Computer and its Shut Down

Computer Basics

Practice Session 2

Practice of some fundamental DOS Commands, TIME, DATE ,DIR, COPY, FORMAT, VOL, LABEL and PATH

Practice of DOS Commands

Practice Session 3

Operating System, Use of Tool Bars; WINDOWS Explorer

Basics on Operating System

Practice Session 4

MSWORD: Creating a document using different Tool Bars

Basics about MS word

Practice Session 5

MSEXCEL: Creating a Spread sheet, entering expressions through formula and use of inbuilt functions

Basics about MS Excel

Practice Session 6

MSACCESS: Creating Database,Structuring with different types of fields

Creating Database using MS Access

Practice Session 7

MS Power Point: Preparation of slides on Power Point

Basics about MS Power Point

Practice Session 8

Practice Session 9

MSEXCEL: Data Analysis using different charts. Creating Graphs and Saving with & without data

Data analysis using Excel

Practice Session 10

Practice Session 11

Algorithm and Flowchart with different examples

Flowchart and algorithm with examples

Practice Session 12

GIS: Introduction to GIS, Data analysis with existing Agricultural data by using QGIS

Use of QGIS software

Practice Session 13

Use of smart phones and other devices in agro advisory and dissemination of market information

Smartphone in agriculture

Practice Session 14

Internet Browsing: Browsing a Web Page and Creating of E-Mail ID

Internet Basics

Our Main Teachers

Dr. Tufleuddin Biswas completed his M.Sc. in Agricultural Statistics from Bidhan Chandra Krishi Viswavidyalaya, West Bengal. He also completed his Ph.D. from the same institution’s Department of Agriculture Statistics. He worked as a senior research fellow (SRF) on the Conservation Agriculture project funded by the Indian Council of Agricultural Research, National higher education project (ICAR- […]

Dr. Soumik Ray

Assistant Professor

Dr. Soumik Ray Assistant Professor and Hod Department of Agricultural Economics and Statistics Centurion University of Technology and Management, Odisha, India. Dr. Soumik Ray received the NCRTNFBASE-2020 Young Scientist Award in Agra, India, and the BASE Young Scientist Award during an international conference organised by BASE- Biology, Agriculture, SciTech, and Agriculture Congress Association (ICEGTABPS- 2021) […]