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| == BirdNET-Pi Course Overview == <!--T:8-->
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| __NOTOC__
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| {| class="wikitable" style="width:100%"
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| ! One
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| ! Two
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| ! Three
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| |-
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| | style="width:100px;"|Lesson 1
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| | Installation of BirdNET-Pi on a Raspberry Pi
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| | [[File:Parrot and Pi.png|150px |link=Main Page |alt=Alt text |Title text]]
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| |-
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| | Lesson 2
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| | Maintenance of BirdNET-Pi and Registration on BirdWeather
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| | [[File:BirdNET Pi Species Stats.png|150px |link=Main Page |alt=Alt text |Title text]]
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| |-
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| | Lession 3
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| | Using APIs to extract data from BirdWeather
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| | style="text-align:right;"| 1.00
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| |-
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| | Lesson 4
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| | Saving API data as a text file and creating a Dashboard in Node-RED
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| | style="text-align:right;"| 1.00
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| |-
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| | Lesson 5
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| | Saving API data in a SQLite database and creating a Dashboard in Node-RED
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| | style="text-align:right;"| 1.00
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| |}
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| = Overview =
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| * BirdNET-Pi uses a USB microphone connected to a Raspberry Pi to record and identify bird calls.
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| * The system runs 24/7 and can upload data in real time to '''https://app.birdweather.com'''
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| * Data can also be downloaded via an API so that you can do some additional data processing using Node-RED.
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| [[File:Parrot and Pi.png | 900px]]
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|
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| = Learning Objectives =
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| * Learn about the important role of vegetation in supporting small birds
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| * Learn how to install BirdNET-Pi on a Raspberry Pi 4
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| * Learn how to interpret data from a local installation of BirdNET-Pi
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| * Learn how to use an API to retrieve data from the BirdNET-Pi installed in Bundoora
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|
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| == Small Birds ==
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| * Small birds need protection from thick scrubby vegetation so they can build nests and also hide from larger birds.
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| * Examples of small birds include:
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| ** White-browed Scrubwrens
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| ** Brown Thornbills
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| ** Spotted Pardalotes
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| ** Willy Wagtails
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| ** Yellow Robins
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| ** Golden Whistlers
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| ** Eastern Spinebills
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| ** Grey Fantails
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| * Government agencies, conservation groups and schools are working together to plant more shrubs and bushy vegetation to encourage small birds to come back to our local parks.
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|
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|
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| * There is also a documentary you can watch on ABC iView called '''The Secret Lives of our Urban Birds'''. Start at the 41 minute mark to see the section on Noisy Minors.
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| '''https://www.abc.net.au/catalyst/the-secret-lives-of-our-urban-birds/13734884'''
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|
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| * Friends of Darebin Creek - Small Woodland Birds
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| '''http://friendsofdarebincreek.org.au/wp-content/uploads/Small-Woodland-Birds-V2.pdf'''
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|
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| = Hardware requirements =
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| * Raspberry Pi 4 or Pi 3 B+.
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| * USB Microphone - (e.g. Gyvazla USB Microphone Lavalier Clip-on Omnidirectional Condenser Microphone for Computer)
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| https://www.amazon.com.au/Microphone-Omnidirectional-Condenser-Interviews-Recording/dp/B072Q2GH99/ref=sr_1_5?keywords=Gyvazla+USB+Microphone&qid=1655199739&sr=8-5
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| * Heat sink and fan for Raspberry Pi. Optional, but highly recommended because it will keep the processor temperature less than 40degC and prolong the life of your Raspberry Pi.
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|
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| = Full Installation instructions =
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|
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| * Installation instructions are also available from the creator of BirdNET Pi (Patrick McGuire) - Lite version (no GUI interface)
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|
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| '''https://github.com/mcguirepr89/BirdNET-Pi/wiki/Installation-Guide'''
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|
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| = Bird NET Pi - Adam's system =
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| * Most Bird NET Pi systems are available through [https://app.birdweather.com/stations/428 Bird Weather]
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| * Adam has also made his Bird NET Pi installation directly available on the internet [https://birdnet.bobblybook.com Online example of Raspberry Pi Bird NET Pi]
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|
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| = Microphone installation for testing =
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| * Plug the microphone into the USB 3.0 port.
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| * The USB 3.0 plug is coloured, either blue or yellow.
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|
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| == Microphone final installation ==
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| * The microphone needs to be installed on the exterior of the house to receive bird calls.
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| * Open a window and place the microphone in a sheltered location under and eave so that the microphone doesn't get wet.
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| * Use sticky tape to attach the microphone to the house.
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| * Close the window carefully so that the cable connected to the microphone is not damaged.
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|
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| = Installing the BirdNET-Pi app =
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| * Open the Terminal
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| * Enter the following code '''curl -s https://raw.githubusercontent.com/mcguirepr89/BirdNET-Pi/main/newinstaller.sh | bash'''
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| * The code was obtained from this site '''https://birdnetpi.com'''
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| * If prompted, answer Y (yes) to any questions.
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| * The installation will take approximately 15 minutes.
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| * The Raspberry Pi will reboot once the installation is complete.
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|
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| [[File:Screen Shot 2022-06-14 at 9.15.50 pm.png | 900px]]
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|
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| = Demonstrating BirdNET-Pi =
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|
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| * In this example, the installation will be reachable at "http://birdnetpi1.local",
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| * Open up a Web Browser on any computer on the same local network as the Raspberry Pi running BirdNET-Pi
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|
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| [[File:Screen Shot 2022-06-14 at 9.52.06 pm.png | 900px]]
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| * This will open up the BirdNET-Pi Home Page.
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|
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| [[File:Screen Shot 2022-06-14 at 9.52.24 pm.png | 900px]]
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|
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| == Checking microphone settings ==
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| * In the main menu select '''Tools'''
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| * You will be asked to enter a username and password.
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| ** The username is '''birdnet'''
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| ** The password is empty. You can change this later.
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|
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| [[File:Screen Shot 2022-06-14 at 9.57.05 pm.png | 900px]]
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|
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| * Click on '''Web Terminal'''
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| [[File:Screen Shot 2022-06-14 at 9.59.34 pm.png | 900px]]
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|
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| * Enter alsamixer -m to enter the ALSA sound mixer.
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| * The -m option permits "mouse" mode.
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|
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| = Swap file expansion =
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| [[https://pimylifeup.com/raspberry-pi-swap-file/ Expanding the swap file on the Raspberry Pi]]
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| == Testing a Bird Call ==
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|
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| = Maintenance Requirements for BirdNET-Pi =
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| * General maintenance requirements are explored in this Dropbox video '''https://www.dropbox.com/s/vpv6z15gsozkqvn/video1668020945.mp4?dl=0'''
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| * Restart BirdNET-Pi Raspberry Pi once per week.
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| * Monitor temperature of Raspberry Pi to check to see if it has been throttled due to exceeding 60degC.
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| * Check to see if the Micro SSD card is full.
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| * Complete any updates.
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|
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| = BirdNET-Pi API =
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| * BirdWeather has an API in place and the BirdWeather (web) App makes use of it in producing the results seen via the web page portal.
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| * Documentation is here - [https://app.birdweather.com/api/index.html] '''https://app.birdweather.com/api/index.html'''
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| * There is also an online query tool for testing queries here - '''https://app.birdweather.com/graphiql'''
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|
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| == Example Python code ==
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| * This is a simple python program that will return some BirdWeather results from station 273 (my station in Bundoora, Victoria Australia)
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| [[File:Screen Shot 2023-02-25 at 6.27.37 am.png | 900px]]
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| * Here is the Python code that can be copied.
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|
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| <syntaxhighlight lang="python">
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|
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| import requests
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| import json
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|
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| query = """query{
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| station(id: "273") {
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| id
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| location
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| name
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| topSpecies {
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| averageProbability
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| species {
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| id
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| commonName
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| scientificName
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| }
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| }
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| }
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| }"""
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| url = 'https://app.birdweather.com/graphql'
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|
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| r = requests.post(url, json={'query': query})
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| #print(r.status_code)
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| #print(r.json())
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| data_json = json.dumps(r.json())
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| print(data_json)
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|
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| </syntaxhighlight>
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|
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| * The output is shown in the Python Shell.
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| * The data is in JSON format
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| [[File:Screen Shot 2023-02-25 at 6.29.51 am.png | 900px]]
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| * Copy this output and paste it in JSONviewer to make the data human readable '''https://jsonviewer.com'''
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| * The data should be similar to the screen shot below.
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| [[File:Screen Shot 2023-02-25 at 6.31.16 am.png | 900px]]
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| == BirdWeather online GraphiQL tool ==
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| * An online query tool for testing queries at this URL - '''https://app.birdweather.com/graphiql'''
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| * An example output is presented for station 273.
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|
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| [[File:Screen Shot 2023-02-25 at 6.45.02 am.png | 900px]]
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|
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| * Use the online documentation to modify your query '''https://app.birdweather.com/api/index.html'''.
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| * This will help you understand how the API work.
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| * In this example below the wikipediaSummary has been added to the query.
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|
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| [[File:Screen Shot 2023-02-25 at 6.51.32 am.png | 900px]]
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| [[File:Screen Shot 2023-02-25 at 6.54.01 am.png | 900px]]
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