Create your account in GitLab.com, and then register a New Username.
In this case, I´m using "NAME.SURNAME" format and my email.
Add Git username:
git config –-global user.name “YOUR_USERNAME"
Configure email for uploading:
git config -–global user.email “firstname.lastname@example.org”
Check if you have SSH KEY:
(If you see a long string starting with ssh-rsa, you can skip the ssh-keygen step)
Generate SSH key:
ssh-keygen -t rsa -C "$your_email"
Copy your key:
pbcopy < ~/.ssh/id_rsa.pub
On your GitLab main page, on the right side, you will have a blue "CLONE" button.
Click it and select "Clone with SSH", and copy the URL.
It should look something like this:
Create a folder in your computer where you are going to save your webpage.
A good tip is not to put it in a folder to deep into your computer, so the navigation through terminal is easier.
In the terminal, navigate to he folder, and use the next command to clone your repository to it:
git clone email@example.com:GIT_FOLDER_NAME/GIT_REPOSITORY_NAME.git
While being inside of the folder, using the following commands:
ADD the new files you added to git
git add filename.extension (to upload file by file)
git add . (to upload all the files at once)
DOWNLOAD the last copy from the repository
MERGE to have a working copy of your repository
NAME the update you are pushing with the changes you did
git commit -m ‘UPDATE_NAME’ (the changes you are committing)
UPLOAD to the Repository
POWAR is a machine that is able to replicate in its interior different climatic characteristics of agriculture to analyze and learn through "Computer Vision" about which are the optimal conditions to grow each plant.
This will work as a plant observatory, in which 3 different simulations will be compared, changing only one variable at a time, to detect which plant grows better than the other and with this it will generate a database that will help optimize its future. culture.
The variables that can be changed inside are:
- Temperature (Cold and Hot)
- Humidity / Rain
This will work as a plant observatory, in which 3 different simulations will be compared, changing only one variable at a time, to detect which plant grows better than the other and with this it will generate a database that will help optimize it´s future cultive.
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