Future-Ready Farming: Mastering No-Code AI for Agriculture

About Course

45-Hours, Self-Paced, Value-Added Course titled “Future-Ready Farming: Mastering No-Code AI for Agriculture”.

This course is designed to be completed over a semester, with a total duration of 45 hours. It follows a self-paced, e-learning format, allowing students to progress according to their own schedules.

This value-added MOOC or online course is meticulously aligned with ICAR’s 6th Deans Committee Recommendations, ensuring it meets industry standards and educational requirements. Upon successful completion, students will receive an industry-recognized certificate, adding significant value to their academic and professional credentials.

Course Content

Course Introduction
This module provides a concise, yet powerful introduction of the course which is specifically designed or Agriculture UG / PG / Doctorate students as well as Agriculture Professionals

Introduction to the course (Free Preview)

00:00

AI around us
This module talks about various use cases of AI around us.

AI in Agriculture
This module provides a broad understanding of why and where can we integrate AI in Agriculture.

AI in Crop and Soil Monitoring

03:08
AI in Insect and Plant Disease Detection

02:15
AI in Crop Damage Assessment

02:01
AI in Livestock Health Monitoring

01:54
AI in Intelligent Spraying

01:33
AI in Automatic Weed Management

01:26
AI in Aerial Survey and Imaging

01:48
AI in Produce Grading and Sorting

01:54
AI in Data Driven Agriculture

01:50
AI in Harvest Quality and Accuracy

01:38
AI in Smart Farming

02:22
Assignment – 2: AI in Agriculture
Quiz on AI in Agriculture

AI Unveiled: The Basics
This module talks about basics of AI.

Types of AI
This module shows different types of AI.

Key Techniques of AI
We shall be discussing various key techniques of AI in this lesson.

AI Project Life Cycle
AI Project Life Cycle

No-Code AI
In this module, we shall explore No-Code AI.

Exploring Altair RapidMiner Platform for Agriculture Domain
In this module, we shall explore Altair RapidMiner Platform and see how to use it.

Agricultural Data Cleaning & Pre-Processing with Altair RapidMiner
In this module, we shall work on Agricultural Data Cleaning & Pre-Processing with Altair RapidMiner with a lot of hands-on explorations.

Handling Missing Values in Agriculture Datasets

06:23
Detecting and Managing Outliers in Agriculture Data

06:28
Refining and Filtering of Agriculture Data Attributes

04:07
Integration of Agriculture Data from Diverse Sources

03:49
Aggregation and Blending of Agriculture Data

03:49
Transformation of Agriculture Data Attributes

03:27
Agriculture Data Representation through Discretization

05:14
My First No-Code AI Project

05:32
Assignment – 9: Agricultural Data Cleaning & Preprocessing with Altair RapidMiner
Quiz on “Agricultural Data Cleaning and Preprocessing”

No-Code AI Capstone Project: AgriForecast – AI based Precision Analytics for Crop Health and Plant Disease Prediction
No-Code AI Capstone Project: AgriForecast - AI based Precision Analytics for Crop Health and Plant Disease Prediction

No-Code Gen-AI in Agriculture
No-Code Gen-AI in Agriculture

Future Jobs for Agriculture Professionals
Future jobs for Agriculture Professionals

How to Prepare for Future?
How to Prepare for Future?

Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.

About Course

Course Content

Course Introduction This module provides a concise, yet powerful introduction of the course which is specifically designed or Agriculture UG / PG / Doctorate students as well as Agriculture Professionals

Introduction to the course (Free Preview)

AI around us This module talks about various use cases of AI around us.

AI around us (Part-1)

AI around us (Part-2)

AI in Industry – How it works?

Assignment – 1: AI around us

Quiz on AI around us

AI in Agriculture This module provides a broad understanding of why and where can we integrate AI in Agriculture.

AI in Crop and Soil Monitoring

AI in Insect and Plant Disease Detection

AI in Crop Damage Assessment

AI in Livestock Health Monitoring

AI in Intelligent Spraying

AI in Automatic Weed Management

AI in Aerial Survey and Imaging

AI in Produce Grading and Sorting

AI in Data Driven Agriculture

AI in Harvest Quality and Accuracy

AI in Smart Farming

Assignment – 2: AI in Agriculture

Quiz on AI in Agriculture

AI Unveiled: The Basics This module talks about basics of AI.

What is AI?

Assignment – 3: What is AI?

Quiz on “What is AI?”

Types of AI This module shows different types of AI.

Narrow AI Vs General AI Vs Super AI

Assignment – 4: Types of AI

Quiz on “Types of AI”

Key Techniques of AI We shall be discussing various key techniques of AI in this lesson.

Machine Learning and its types

Popular Industry use cases of Machine Learning

Deep Learning and its Industry Applications

Data Science and its Industry Applications

AI in Nutshell

Dispelling Myths about AI

Assignment – 5: Key Techniques in AI

Quiz on “Key Techniques of AI”

AI Project Life Cycle AI Project Life Cycle

Building Blocks of AI Project Life Cycle

Assignment – 6: AI Project Life Cycle

Quiz on “AI Project Life Cycle”

No-Code AI In this module, we shall explore No-Code AI.

No-Code AI Frameworks

No-Code AI Platforms

Assignment – 7: No-Code AI Frameworks and Platforms

Quiz on “No-Code AI Frameworks and Platforms”

Exploring Altair RapidMiner Platform for Agriculture Domain In this module, we shall explore Altair RapidMiner Platform and see how to use it.

Set-up and Quick Installation of Altair RapidMiner

Navigating Altair RapidMiner Platform Interface

Getting Started with Altair RapidMiner Platform

Importing Agriculture Data into Altair RapidMiner Platform

Assignment – 8: Exploring Altair RapidMiner Platform

Quiz on “Exploring Altair RapidMiner”

Agricultural Data Cleaning & Pre-Processing with Altair RapidMiner In this module, we shall work on Agricultural Data Cleaning & Pre-Processing with Altair RapidMiner with a lot of hands-on explorations.

Handling Missing Values in Agriculture Datasets

Detecting and Managing Outliers in Agriculture Data

Refining and Filtering of Agriculture Data Attributes

Integration of Agriculture Data from Diverse Sources

Aggregation and Blending of Agriculture Data

Transformation of Agriculture Data Attributes

Agriculture Data Representation through Discretization

My First No-Code AI Project

Assignment – 9: Agricultural Data Cleaning & Preprocessing with Altair RapidMiner

Quiz on “Agricultural Data Cleaning and Preprocessing”

No-Code AI Capstone Project: AgriForecast – AI based Precision Analytics for Crop Health and Plant Disease Prediction No-Code AI Capstone Project: AgriForecast - AI based Precision Analytics for Crop Health and Plant Disease Prediction

Project Prelude – Problem Statement

Project Background – Importance of the Project

Exploring the Dataset

Importing the Dataset in Altair RapidMiner

Exploratory Data Analysis

Data Cleaning and Preprocessing

AI Algorithm Model Deployment

Result and Performance Analysis

No-Code Gen-AI in Agriculture No-Code Gen-AI in Agriculture

Applying Gen-AI in Agriculture without coding

No-Code AI Capstone Project: Gen-AI Applications in Agriculture