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Autor Tópico: Machine learning and artificial intelligence in hydroponics  (Lida 471 vezes)

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Machine learning and artificial intelligence in hydroponics
« em: 12 de Setembro de 2019, 09:57 »

Machine learning and artificial intelligence in hydroponics
.MP4 | Video: 1280x720, 30 fps(r) | Audio: AAC, 48000 Hz, 2ch | 658 MB
Duration: 1 hours | Genre: eLearning | Language: English

Get real time data from hydroponics to predict plant growth with a new era of machine learning

What you'll learn

    You will learn how to set an own hydroponic farm
    Different types in hydroponics
    Basics of hydroponics and learn how to grow using hydroponics techniques
    You will learn Machine learning using python
    Create model using machine learning for accurate prediction on plant growth
    Improve efficiency of hydroponics using data driven approach
    You'll learn how to apply the Regression, Classification , Clustering on collected data from hydroponics farm

Requirements

    Who interested to increase the efficiency of hydroponic farm using Machine learning
    Who want to learn Machine learning in agriculture

Description

You're passionate about machine learning! You're passionate about growing plants through machine learning! You're passionate about hydroponics !

IF YES

THEN

"This course is for you"

In this course you'll learn

· Basic of hydroponics

· How to grow plants in hydroponics

· How to collect data from hydroponics

· Simple Machine learning techniques

· How to predict the growth of the plant

By enrolling in this course you will have the opportunity to learn how to combine hydroponics and artificial intelligence system.

You will learn 3 main machine learning techniques like

    Regression

    Classification

    Clustering

    A wonderful insights are waiting for you . At the end of the course anyone can able to create their own machine learning model and one can use various environmental variables to predict growth via patterns and visualization.

Who this course is for:

    Anyone who interested in any of the following
    Machine learning
    Data science
    Artificial Intelligence
    Hydroponics
    Agriculture
    Aquaponics
    Gardening
    Organic farming
    Indoor farming
 

               

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