Differences

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--- supp:arduino:adafruit_m0_lora [2019/01/10 13:42] – created admin
+++ supp:arduino:adafruit_m0_lora [2019/01/10 18:27] (current) – [Libraries Used] admin
@@ Line 3: / Line 3: @@
 ===== Specs =====
-  * Microcontroller: MicroChip SAMD21G ARM Cortex M0+
+[[https://learn.adafruit.com/adafruit-feather-m0-radio-with-lora-radio-module/overview|{{https://cdn-learn.adafruit.com/assets/assets/000/032/893/original/feather_3178_iso_ORIG.jpg?400}}]]
-  * LoRa Radio: HopeRF RFM95, 900 MHz (868 MHz), runs with IBM LMiC LoRaWAN library
+  * Microcontroller: MicroChip ATSAMD21G18 ARM Cortex M0+ @ 48MHz with 3.3V logic/power
+  * LoRa Radio: HopeRF RFM95 (compatible with SX1276 LoRa Transceiver), 900 MHz (868 MHz), runs with IBM LMiC LoRaWAN library
 ===== Training =====
-https://learn.adafruit.com/adafruit-feather-m0-radio-with-lora-radio-module/overview
+==== Adafruit Feather M0 RFM95 (LoRa) Introduction ====
+  * https://learn.adafruit.com/adafruit-feather-m0-radio-with-lora-radio-module/overview
+==== Connect to TTN ====
+  * :!: https://learn.adafruit.com/the-things-network-for-feather?view=all
+==== Libraries Used ====
+  * https://github.com/adafruit/Adafruit_Sensor
+  * https://github.com/adafruit/DHT-sensor-library
+  * https://github.com/mcci-catena/arduino-lmic
+==== TTN Decoder ====
+You could use Cayenne or your own decoder such as \\ https://github.com/adafruit/Adafruit_Learning_System_Guides/blob/master/TheThingsNetwork_Feather/ttn_lmic_dht22_decoder.js
+==== Pinout ====
+{{https://cdn-learn.adafruit.com/assets/assets/000/046/254/original/feather_Feather_M0_LoRa_v1.2-1.png}}