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Pi IoT

12 Posts authored by: gpolder
Old MacDonald had a farm and on his farm he grows crops, which he likes to monitor using the Internet of Things. Therefore he is in need of a camera capable of doing that. Luckily element14 came up with a challenge in which such a camera is developed. This page gives a summary of the project.   The project only focuses on the development of the Plant Health Camera, a Thing, which, since it runs on a Raspberry Pi, easily can be connected to the Internet. Inspiration on how to achieve that ...
After quite a bit of hard work during the last days, the project reached its end. Of course many improvements can be made, and other features can be added, but that is for later, after the challenge. I had the plan to add humidity, pressure and temperature measurements with the SenseHat, but unfortunately SenseHat, Wi-Pi and PiFace digital were missing from my kit. I this post I will briefly explain the ndvicam.py python code which mainly does all the work. I will finish with a number of example ...
Today a quick note on how to connect the two Pi's.   Previous posts: [Pi IoT] Plant Health Camera #9 - calculating BNDVI and GNDVI [Pi IoT] Plant Health Camera #8 - Aligning the images [Pi IoT] Plant Health Camera #7 - Synchronizing the cameras [Pi IoT] Plant Health Camera #6 - Putting the slave Pi to work [Pi IoT] Plant Health Camera #5 - OpenCV [Pi IoT] Plant Health Camera #4 - Putting the parts together [Pi IoT] Plant Health Camera #3 - First steps [Pi IoT] Plant Health Camera #2 - Unbo ...
Today a quick update. I wrote a small program to extract the GNDVI and BNDVI images as explained in my previous post.   Previous posts:[Pi IoT] Plant Health Camera #8 - Aligning the images [Pi IoT] Plant Health Camera #7 - Synchronizing the cameras [Pi IoT] Plant Health Camera #6 - Putting the slave Pi to work [Pi IoT] Plant Health Camera #5 - OpenCV [Pi IoT] Plant Health Camera #4 - Putting the parts together [Pi IoT] Plant Health Camera #3 - First steps [Pi IoT] Plant Health Camera #2 - U ...
Since my last blog I’m still traveling, therefore I could unfortunately not work much on the project. The good news is that my traveling last week was to the AgriControl conference in Seattle (Washington State University), where I got a lot of inspiration for my project. AGRICONTROL2016: ‘The 5th IFAC Conference on Sensing, Control and Automation for Agriculture’ aims to bring together scientists, engineers, students and others working in these areas from around the world to s ...
This week I was traveling again, so unfortunately I didn't have much time to work on the project. Therefore I will share my thoughts on how to synchronize the two cameras.   Previous posts:[Pi IoT] Plant Health Camera #6 - Putting the slave Pi to work [Pi IoT] Plant Health Camera #5 - OpenCV [Pi IoT] Plant Health Camera #4 - Putting the parts together [Pi IoT] Plant Health Camera #3 - First steps [Pi IoT] Plant Health Camera #2 - Unboxing [Pi IoT] Plant Health Camera #1 - Application   ...
Now the Pi 3 is running well, with the camera and OpenCV, we need to install the second camera and Pi as slave system.   Previous posts: [Pi IoT] Plant Health Camera #5 - OpenCV [Pi IoT] Plant Health Camera #4 - Putting the parts together [Pi IoT] Plant Health Camera #3 - First steps [Pi IoT] Plant Health Camera #2 - Unboxing [Pi IoT] Plant Health Camera #1 - Application   Setup the Raspberry Pi B+ The in the kit supplied Raspberry Pi B+ is used as slave camera unit. I placed it in the ...
As described in my first post, OpenCV is an important requirement for my application, In this post I will describe how I installed OpenCV on the Pi 3.   Previous posts: [Pi IoT] Plant Health Camera #4 - Putting the parts together [Pi IoT] Plant Health Camera #3 - First steps [Pi IoT] Plant Health Camera #2 - Unboxing [Pi IoT] Plant Health Camera #1 - Application   Install OpenCV Next thing we need is OpenCV. I installed it from source, as described in this Install guide: Raspberry P ...
Last two weeks I was traveling and also busy running a summerschool (Successful Summer School Plant Phenotyping - Wageningen UR ), but now the holiday started and I have more time to continue to work on my project. The Smarti Pi cases, I talked about in my previous post arrived, and I'm quite happy with them. In this post I will describe how the cases are used. Furthermore I installed and tested the camera with a small python script.   Previous posts: [Pi IoT] Plant Health Camera #3 - Fi ...
This week I did the first steps in getting the project started. Installed Raspbian on the Pi 3 connected the 7" Touchscreen display to the Pi   Every thing went flawlessly. I mainly did the same steps as rhavourd in ([Pi IoT] Hangar Central #3 -- Unboxing the Challenge Kit), but didn't make such nice video's / blog post. Just a note on the I2C connections, these are not needed for the Pi 3, since they are in the DSI interface cable.   Here are some images of the result:   ...
Just an image of the components I received in the mail today:     SenseHat, Wi-Pi and PiFace digital are missing, but these are no showstoppers for the project. Stay tuned! ...
IntroductionMultispectral images including red and near-infrared bands have proved their efficiency for vegetation-soil discrimination and agricultural monitoring in remote sensing applications. But they remain rarely used in ground and UAV imagery, due to a limited availibility of adequate 2D imaging devices. I was very happy to see that the new 8 Mpixel Pi Camera and the Pi Noir Camera were added to the kit of this challenge. In the past I did an extensive test on the spectral properties of th ...