1. Introduction to Computers, Anatomy of Computers 
1.1 Definitions
1.2 Characteristics of Computer
1.3 History of Computers
1.4 Generations of Computers
1.5 Types of Computers
1.6 Components of Computer
1.6.1 Input Devices 1.6.2 Output Devices 1.6.3 CPU: CU, ALU, MU
1.7 Functional Units
1.8 Anatomy of Computers
1.8.1 Power Supply 1.8.2 Monitor 1.8.3 Motherboard 1.8.4 Central Processing Unit 1.8.5 Main Memory or Random Access Memory (RAM) 1.8.6 Storage Device
1.9 Memory Concept:
1.10 Unit of Measurements
1.11 Operating System (Single User and Multi User OS)
1.11.1 Types of Operating System (OS): Batch OS, Real-Time OS, Time Sharing OS, Distributed OS, Network OS, Mobile OS 1.11.2 Functions of Operating System 1.11.3 Features of Operating System
1.12 Exercise

2. Microsoft Office : Applications of Ms Office 
2.1 Introduction MS-Office
2.2 MS Office -MS Word: Creating a New Document, Formatting option features, Editing. Tabulation/Insertion of Table.
2.3 Microsoft Office – Power Point: Creating PowerPoint Document and Data Presentation.
2.4 MS Excel:- Creating Worksheet and Graph, Functions for Data Analysis, Mathematical Functions etc.
2.5 Statistical Analysis and Mathematical expression using excel
2.5.1 Electronic Spreadsheet 2.5.2 Creating Spreadsheet 2.5.3 Editing Spreadsheet 2.5.4 Saving Spreadsheet 2.5.5 Statistical Functions in Excel 2.5.6 Using Excel’s Statistical Functions for Data Analysis AVERAGE, COUNT, SUM, MIN, MAX, MEDIAN, MODE, STDEV, STDEVP, VAR, VARP, CORREL, PERCENTILE` 2.5.7 Mathematical functions in excel: SUM, AVERAGE, AVERAGEIF, COUNT, COUNTIF, MOD, ROUND
2.6 Other Microsoft Functions
1. MS Office–Microsoft Outlook 2. MS Office–Microsoft Access
2.7 Exercise

3. Database Management System (DBMS) in Agriculture Use of Dbms in Agriculture 
3.1 Database Definition
3.2 Characteristics of Database
3.3 Structure of Database Management System
3.4 Database concepts
3.5 Components of Database: Tables- Concept of View, Primary Key, Foreign Key.
3.6 Primary Key and Foreign Key: Primary Key and Foreign Key Constrains and Queries.
3.7 Database: MS-ACCESS
3.8 Create, Insert, Select, Delete, Update Queries in SQL
3.9 Form in Access: Steps for Creating Forms, Entering Data in Forms
3.10 Reports using MS-Access
3.11 Steps for creating Reports, Printing Reports
3.12 Exercise

4. Internet and World Wide Web (WWW) : Concept and Components 
4.1 Introduction
4.2 Modem and Telephone Line
4.3 Internet Service Provider (ISP)
4.4 World Wide Web: Concepts and Components
4.5 Hypertext
4.6 Web Browser
4.7 Web Page and Websites
4.8 Search Engine
4.9 Web Browsing
4.10 Electronic Mail: Creating E-Mail, Using E-mail, Sending the Message, CC and BCC, Subject.
4.11 Definition of LAN, WAN, MAN Network
4.12 Exercise

5. Computer Programming 
5.1 Computer Programming: General concept,
5.2 The flowchart
Introduction to Programming Languages: Visual Basic, Java, FORTRAN, C, CPP etc.
5.3 Computer Languages: Concepts and Standard Input/Output Operations
• ‘C’ Language- Character set, Data Types and Programs
• Concepts and Standard input/output-scanf(), printf() operations.
5.4 Exercise

6. E-Agriculture : Concept, Importance of IT in Agriculture 
6.1 Concept of e-Agriculture
6.2 Applications of e-Agriculture
6.3 The Importance of Agriculture
6.4 Use of ICT in Agriculture
6.5 Impact of ICT on Agriculture and Information Technology
6.6 Applications of ICT In the Developed World
6.7 The Role Of ICT: Revamping Modern Agricultural Technology
6.8 Design and Development of e-Agriculture
6.9 Challenges in Agriculture to Adapting e-Agriculture
6.10 Role of IT in Agriculture
6.11 AGRINET: Introduction, Objectives, Advantages and Challenges in Agriculture
6.12 Exercise

7. Crop Simulation Models 
7.1 Definition
7.2 Concept: Requirement of Good Modelling
7.3 Crop Simulation model Types: Statistical Models, Dynamic Models, Mechanistic Model, Functional Model and Crop Modeling.
7.4 Classification of models based in their application: Primary, Comprehensive, Summary of Model
7.5 Characteristics of Models
7.6 Uses of Crop Simulation Models
7.7 Applications of Crop Simulation Models
7.8 Exercise

8. IoT In Agriculture 
8.1 IoT Definition
8.2 Challenges and Benefits of IoT in Agriculture
8.3 Use of IoT Applications in Agriculture
8.3.1 Precision Farming 8.3.2 Agriculture drones 8.3.3 Smart Greenhouse
8.4 IT Applications in agriculture for Computation of Water and Nutrient Requirement of Crop
8.5 Role of IT application in water and nutrient requirements
8.6 Computation of water and nutrient requirements using weather parameters
8.7 Advantage of IT application in agriculture for computation of water and nutrient requirement
8.8 Exercise

9. Computer Controlled Devices (Automated Systems) For Agri-Input Management 
9.1 What are computer-controlled devices in Agriculture?
Example of Automation Device:- Robotics, Applications in Planting, Drones for Irrigation, Harvest Automation Tools, Automated Tractors etc.
9.2 Robotics Application in Planting
9.3 Drones for Irrigation
9.3.1 How Drones Help with Irrigation 9.3.2 Benefits of Using Drones for Irrigation
9.4 Harvest Automation Tools
9.4.1 Benefits of Harvest Automation Tools
9.5 Automated Tractors
9.5.1 What an autonomous tractor is? 9.5.2 Autonomous tractor applications
9.6 AWS – Automatic Weather stations
9.6.1 What is Automatic Weather station?
9.6.2 How AWS Works?
9.7 AIS – Automatic Irrigation System
9.7.1 What is an Automatic Irrigation System?
9.7.2 Types of Automatic Irrigation Systems
9.7.3 Benefits of Automatic Drip Irrigation System
9.8 Smartphone Mobile apps in Agriculture
9.8.1 Irrigation System:
9.8.2 Fertilizer applications:
9.8.3 Pest and Disease Management
9.8.4 Seeding and Planting
9.8.5 Harvesting systems:
9.8.6 Weather forecasting
9.8.7 Soil Testing and Analysis
9.8.8 Crop Management
9.8.9 Market Prices
9.8.10 Farm Management
9.8.11 Financial and Insurance services
9.9 Geospatial Technology
9.9.1 Uses of Geospatial technology in agriculture
9.10 Exercise

10. Decision Support Systems 
10.1 Introduction
10.2 Components of Decision support System
10.3 Example on DSS
10.4 Types of Decision Support Systems
10.5 Applications of DSS in agriculture
10.6 Example Scenario
10.7 Exercise

11. Agriculture Expert System 
11.1 Introduction
11.2 Components of an Agriculture Expert System
11.3 Example on Agricultural Expert System
11.4 Benefits of Agriculture Expert Systems
11.5 Applications of Agricultural Expert System
11.6 Exercise

12. Contingent/Crop-Planning Using IT Tools 
12.1 Introduction
12.2 Steps to Prepare Contingent Crop Planning Using IT Tools
12.3 Contingent crop planning using IT Tools
12.4 Benefits of Using IT Tools for Contingent Crop Planning
12.5 Crop Calendars Using ICT Tools
12.6 Exercise

13. Artificial Intelligence in Agriculture 
13.1 Introduction to AI
13.2 How Does AI Work?
13.3 Example of AI in Agriculture
13.3.1 Autonomous Crop Management
13.3.2 Monitoring livestock health
13.3.3 Intelligent pesticide application
13.3.4 Yield mapping and predictive analytics
13.3.5 Automatic weeding and harvesting
13.3.6 Sorting harvested produce
13.3.7 Food Processing applications
13.4 Exercise

14. Digital India and Schemes to Promote Digitalization of Agriculture in India 
14.1 Introduction
14.2 Digital India and Initiatives in Agriculture Sector
14.3 Digital Agriculture or NeGP-A 2.0
14.4 Digital Agriculture Initiatives in India
14.5 Challenges of Digital India
14.6 Exercise