To identify agricultural fields with ML, the group needed annotated data sets. To do this, the SpatialCollective in Kenya trained a team to analyze satellite imagery for evidence of agricultural fields. Once the data was annotated, it was used to train and test a Random Forest classifier. Areas the model had trouble classifying were sent back to mappers to be labeled and then added back into training data. The team utilized a number of tools to implement the data processing and modeling including: Geotrellis, RasterFrames, rasterio and GeoPySpark. The image above shows some of the results of the project. If you’d like to learn more about this project checkout the teams GitHub repo!
Stop breadboarding and soldering – start making immediately! Adafruit’s Circuit Playground is jam-packed with LEDs, sensors, buttons, alligator clip pads and more. Build projects with Circuit Playground in a few minutes with the drag-and-drop MakeCode programming site, learn computer science using the CS Discoveries class on code.org, jump into CircuitPython to learn Python and hardware together, or even use Arduino IDE. Circuit Playground Express is the newest and best Circuit Playground board, with support for MakeCode, CircuitPython, and Arduino. It has a powerful processor, 10 NeoPixels, mini speaker, InfraRed receive and transmit, two buttons, a switch, 14 alligator clip pads, and lots of sensors: capacitive touch, IR proximity, temperature, light, motion and sound. A whole wide world of electronics and coding is waiting for you, and it fits in the palm of your hand.
Biohacking — Vitamin-C + Gelatin for Accelerated Recovery
Python for Microcontrollers — The Top Programming Languages 2019 – Python tops the charts with a CircuitPython nod! #Python #Adafruit #CircuitPython #PythonHardware @circuitpython @micropython @ThePSF @Adafruit