AGRICULTURAL INFORMATICS
Teacher
Dr. Tufleuddin Biswas
Category
Core Courses
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Course Name : AGRICULTURAL INFORMATICS
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
Theory:
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.
Practical:
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.
References:
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)
Session 2
Anatomy of computers, Memory concept ((Lecture 2 &3))
Anatomy of computer (Video)
Session 3
Operating System, definition and types ((Lecture 4)
https://www.youtube.com/watch?v=vBURTt97EkA&list=PLBlnK6fEyqRiVhbXDGLXDk_OQAeuVcp2O
Session 4
Applications of MS-Office for creating, Editing and Formatting a document & Statistical analysis, mathematical expressions using MS Excel
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)
Session 6
Session 7
IT application, smart phone mobile apps, Geospatial technology
(Lecture 12 &13)
Session 8
Decision support systems, contingent crop planning, Crop planning and crop calendar using IT tools
(Lecture 14-16)
Preparation of Contingent Crop Planning and Crop Calendars Using IT Tools
Crop planning and crop calendar using IT tools
Contingent Crop Planning (CRIDA)
Expert system for agriculture
E-material
Practice Session 1
Study of Computer Components: Booting Of Computer and its Shut Down
Practice Session 2
Practice of some fundamental DOS Commands, TIME, DATE ,DIR, COPY, FORMAT, VOL, LABEL and PATH
Practice Session 5
MSEXCEL: Creating a Spread sheet, entering expressions through formula and use of inbuilt functions
Practice Session 6
MSACCESS: Creating Database,Structuring with different types of fields
Practice Session 8
Practice Session 9
MSEXCEL: Data Analysis using different charts. Creating Graphs and Saving with & without data
Practice Session 10
Introduction to different computer languages
Practice Session 11
Algorithm and Flowchart with different examples
Practice Session 12
GIS: Introduction to GIS, Data analysis with existing Agricultural data by using QGIS
Practice Session 13
Use of smart phones and other devices in agro advisory and dissemination of market information
Practice Session 14
Internet Browsing: Browsing a Web Page and Creating of E-Mail ID
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 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) […]