Machine learning and artificial intelligence in hydroponics

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2019-09-07
Learners

No Information
Duration

No Information
Instructor

Ramesh G

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3.5

586 Ratings

This course is perfect for anyone passionate about machine learning and hydroponics. You will learn the basics of hydroponics, how to collect data from hydroponics, and how to use machine learning techniques to predict the growth of plants. You will also learn three main machine learning techniques such as regression, classification, and clustering. By the end of the course, you will be able to create your own machine learning model and use various environmental variables to predict growth via patterns and visualization. Enroll now and gain wonderful insights into the world of machine learning and hydroponics.

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Machine learning and artificial intelligence in hydroponics

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 18th, 2023]

What skills and knowledge will you acquire during this course?
Participants in this course will acquire skills and knowledge in hydroponics, including the basics of growing plants in hydroponics, collecting data from hydroponics, and utilizing simple machine learning techniques. They will also learn how to predict plant growth using environmental variables and patterns, and will be able to create their own machine learning models and use visualization to predict growth.

How does this course contribute to professional growth?
This course on Machine Learning and Artificial Intelligence in Hydroponics contributes to professional growth by providing participants with the knowledge and skills to apply machine learning techniques in the field of hydroponics. Participants will learn how to collect and analyze data from hydroponic systems, predict plant growth using environmental variables, and create their own machine learning models. This knowledge and skill set can enhance their professional capabilities and enable them to make data-driven decisions in the field of hydroponics.

Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education. Participants will gain knowledge and skills in machine learning, artificial intelligence, hydroponics, data collection, and predictive modeling. These are valuable skills that can be applied in various fields and can enhance one's understanding and abilities in further education.

Course Syllabus

Introduction

Types in hydroponics

Medium

Building our own hydroponics system

Maintaining an hydroponics farm

Lighting for indoor farm

Factors promoting hydroponics

Factors affecting plant growth

Definition of Artificial intelligence and Machine learning

Data gathering and pre-processing

Predictive analytics

Regression

Classification

Clustering

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Pros & Cons

Great information about hydroponics
Exciting and challenging

Programming knowledge required
Lack of depth in machine learning and AI

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