AI in Agriculture: 5 Real-World No-Code AI Projects

About Course

Dive into the future of farming with ‘AI in Agriculture: 5 Real-World No-Code AI Projects,’ where you’ll harness the power of artificial intelligence to revolutionize agricultural practices without the need for coding expertise.

Practical application of artificial intelligence (AI) techniques in the field of agriculture.
Understanding the role of AI in optimizing agricultural processes for increased efficiency and productivity.
Hands-on experience with 5 real-world AI projects tailored specifically for agricultural contexts like Crop Outcome Prediction, Crop Classification, Groundwater Suitability for Irrigation, Precision Agriculture and Fertilizer Recommendation System.
Mastery of AI concepts without the need for complex coding, making it accessible to beginners and professionals alike.
Insight into cutting-edge technologies shaping the future of farming and food production.
Development of problem-solving skills through the implementation of AI solutions to address agricultural challenges.
Opportunity to contribute to sustainable agriculture practices by leveraging AI-powered insights and innovations.

Course Content

Introduction
Introduction

Course Introduction

05:00
Pre-requisite for the course

00:00
Course Objectives & Expected Outcomes

05:46
Future Jobs in Agriculture Industry

07:15
Sneak Peek into Project – 1

02:38
Sneak Peek into Project – 2

00:00
Sneak Peek into Project – 3

00:00
Sneak Peek into Project – 4

00:00
Sneak Peek into Project – 5

00:00

Cultivating Intelligence: Introduction to Altair RapidMiner
Cultivating Intelligence: Introduction to Altair RapidMiner

Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing

Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction
Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction

Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming
Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming

Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture
Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture

Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System
Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System

Project-5: FertiSync: AI-Powered Fertilizer Recommendation System
Project-5: FertiSync: AI-Powered Fertilizer Recommendation System

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About Course

What Will You Learn?

Course Content

Introduction Introduction

Cultivating Intelligence: Introduction to Altair RapidMiner Cultivating Intelligence: Introduction to Altair RapidMiner

Rapid Set-Up: Installing the Turbocharged No-Code AI Tool

Interface Expedition: Navigating RapidMiner’s Realm

Rapid Dive: Launching Your Journey with RapidMiner

Data Influx: Importing Streams into RapidMiner

Effortless Data Refinement: No-Code Data Cleaning & Preprocessing Effortless Data Refinement: No-Code Data Cleaning & Preprocessing

Data Management: Handling Missing Values

Data Normalization: Detecting and Managing Outliers

Filtering Techniques: Refining Data Selection

Dataset Integration: Merging Tables for Insight

Aggregation Methods: Blending Data for Analysis

Feature Engineering: Transforming Data Attributes

Discretization Strategies: Enhancing Data Representation

My First No-Code AI Project

Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction

Project Prelude: Unraveling the Challenge

Setting the Scene: Unveiling the Project’s Context

Data Discovery Journey: Exploring the Dataset

Hands-on Data Dive: Importing the Essentials

Hands-on EDA Essentials: Navigating the Data Landscape

Hands-on Tidy Up: Mastering Data Cleaning and Preparation

Hands-on Model Crafting: Forging Predictive Power

Hands-on Performance Spotlight: Illuminating Results and Analysis

Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming

Project Prelude: Unraveling the Challenge

Setting the Scene: Unveiling the Project’s Context

Data Discovery Journey: Exploring the Dataset

Hands-on Data Dive: Importing the Essentials

Hands-on EDA Essentials: Navigating the Data Landscape

Hands-on Tidy Up: Mastering Data Cleaning and Preparation

Hands-on Model Crafting: Forging Predictive Power

Hands-on Performance Spotlight: Illuminating Results and Analysis

Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture

Project Prelude: Unraveling the Challenge

Setting the Scene: Unveiling the Project’s Context

Data Discovery Journey: Exploring the Dataset

Hands-on Data Dive: Importing the Essentials

Hands-on EDA Essentials: Navigating the Data Landscape

Hands-on Tidy Up: Mastering Data Cleaning and Preparation

Hands-on Model Crafting: Forging Predictive Power

Hands-on Performance Spotlight: Illuminating Results and Analysis

Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System

Project Prelude: Unraveling the Challenge

Setting the Scene: Unveiling the Project’s Context

Data Discovery Journey: Exploring the Dataset

Hands-on Data Dive: Importing the Essentials

Hands-on EDA Essentials: Navigating the Data Landscape

Hands-on Tidy Up: Mastering Data Cleaning and Preparation

Hands-on Model Crafting: Forging Predictive Power

Hands-on Performance Spotlight: Illuminating Results and Analysis

Project-5: FertiSync: AI-Powered Fertilizer Recommendation System Project-5: FertiSync: AI-Powered Fertilizer Recommendation System

Project Prelude: Unraveling the Challenge

Setting the Scene: Unveiling the Project’s Context

Data Discovery Journey: Exploring the Dataset

Hands-on Data Dive: Importing the Essentials

Hands-on EDA Essentials: Navigating the Data Landscape

Hands-on Tidy Up: Mastering Data Cleaning and Preparation

Hands-on Model Crafting: Forging Predictive Power

Hands-on Performance Spotlight: Illuminating Results and Analysis

Earn a certificate

Quick Links

Resources

Support

Introduction
Introduction

Cultivating Intelligence: Introduction to Altair RapidMiner
Cultivating Intelligence: Introduction to Altair RapidMiner

Effortless Data Refinement: No-Code Data Cleaning & Preprocessing
Effortless Data Refinement: No-Code Data Cleaning & Preprocessing

Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction
Project-1: AgriForecast: Precision Analytics for Crop Health & Disease Prediction

Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming
Project-2: BeanGenomix: Advanced Varietal Analytics of Dry Beans for Enhanced Precision Farming

Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture
Project-3: AquaPredict: Groundwater Assessment for Sustainable Agriculture

Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System
Project-4: RecoCrop: Site-Specific Personalized Crop Recommendation System

Project-5: FertiSync: AI-Powered Fertilizer Recommendation System
Project-5: FertiSync: AI-Powered Fertilizer Recommendation System