AGRO PATH FINDER • SKNAU JOBNER 2025
Agricultural Informatics and Artificial Intelligence
B.Sc. (Hons.) Agriculture • Semester 4 • COMP 221
Lecture-wise study materialsTheory & PracticalPDF • MCQs • Videos
Imported outline — verification pending
This schedule comes from the supplied HTML pack. Check the original university syllabus before treating wording, numbering or topic coverage as final. Numbering gaps in the supplied outline have been flagged for review; missing topics have not been invented.
Theory Lecture Schedule
20 indexed topics01
Introduction to Computers
02
Anatomy of Computers
03
Memory Concepts
04
Units of Memory
05
Operating System: Definition and Types
06
Applications of MS-Office: Creating, Editing, and Formatting Documents
07
Applications of MS-Office: Data Presentation and Graph Creation g Applications of MS-Office: Statistical Analysis and Mathematical 1 Expressions
09
Number Systems and Representation of Number Systems
10
Introduction to Machine, Assembly, and High-Level Languages
11
Programming Concepts: Algorithms and Flowcharts
12
Networking: Local Area Network (LAN) and Wide Area Network (WAN)
13
Network Topologies: Star, Bus, Ring, and Mesh
14
Operating Systems: Types and Functions
15
Database: Concepts, Types, and Applications in Agriculture
16
Creating Databases and Uses of DBMS in Agriculture
17
Internet and World Wide Web (WWW): Concepts and Components
18
e-Agriculture: Concepis, Design, and Development
19
IT Applications in Agriculture: Innovative Uses of ICT
29
Computer Models in Agriculture: Statistical and Weather Analysis Models Computer Models in Agriculture: Structure, Input-Output Files, and 21 Limitations ! 22 Computer-Controlled Devices for Agri-Input Management 1 3 Smartphone Mobile Apps in Agriculture: Market Price, Farm 1 Advice, Postharvest Management 4 _ Preparation of Contingent Crop Planning and Crop Calendars Using 1 IT Tools 25 _ Digital India and Schemes Promoting Digitalization of Agriculture 1 26 Introduction to Artificial Intelligence: Background and Applications 1 27 IoT and Big Data in Agriculture: Concepts and Applications I yg Use of AL in Agriculture: Autonomous Crop and Livestock 1 Management 29 Smart Agriculture: Concepis and Applications I
30
Role of Digital Transformation in Agriculture
Practical Lecture Schedule
14 indexed topics01
Study of Computer Components and Accessories, Practice of i Important DOS Commands
02
Introduction to Different Operating Systems (Windows, Unix/Linux)
03
File Management: Creating Files and Folders
04
Use of MS-Word: Creating, Editing, and Formatting a Scientific Document
05
MS PowerPoint: Creating and Presenting a Scientific Presentation
06
MS-Excel: Creating a Spreadsheet and Writing Expressions
07
Statistical Tools and Data Analysis in MS-Excel
08
Creating Graphs and Handling Macros in MS-Excel
09
MS-Access: Creating Databases and Preparing Queries
10
Demonstration of Agri-Information Systems using MS-Access Tl. Introduction to WWW, Internet Applications, and Search Engines 1
12
Emailing Services: Composing Messages, Sending, and Receiving, Emails
13
Use of Smartphones and Devices in Agro-Advisory and Market Information
14
Introduction to HTML: Structure, Tags, Elements, and Attributes
15
Basic HTML Formatting: Headers, Paragraphs, Lists, Images, Hyperlinks, and Tables
This page indexes the supplied topic outline. Lecture notes, PDFs, videos and tests will be linked only when those resources are available.
