Note:One more important thing, both the transmitter and receiver board must be in the same frequency band, otherwise it will not work.LoRa module in the BOM is for 410-525MHz band which may not for US. Please check the frequency band in your place.

The receiver node is designed to receive the weather sensor data sent by the base station from the field. Then display the received data on various platforms like ThinkSpeak, Blynk App, or on an e-paper display.

I have drawn the receiver schematic on the Autodesk eagle. The main features of the receiver units are:

1. Onboard power supply

2. Charging Circuit for 18650 battery / LiPo Battery

3. I2C headers for hookup sensors to monitor the indoor parameters

4. SPI interface port for connecting an e-paper display.

Note: Before placing the order for this board please confirm the following:

1. The frequency band is compatible with your country. You can check it here . We have two variants i) 410-525MHz ii) 803 -930MHz.
2. The transmitter and Receiver board must have same frequency band for successful Lora communication

Background:

This is an affordable weather station for various applications like smart agriculture, smart city, solar plants, construction site, etc.

It consists of two nodes, the Sender Node will be deployed in the field ( where the internet is not available ) and the Receiver Node will be kept indoors where the internet is available for uploading the weather data to the internet.

The main goal of this project is to read the weather parameters by using various sensors, process the data through an ESP32, and then transmit them through the LoRa module. The receiver LoRa unit will collect the data from the Sender node and uploads it to the Server for monitoring and analysis purpose.

The received data can be observed in multiple ways:

1. Monitor the data through e-Ink Paper Display

2. Integration with Home Assistant / ESPHome

3. Upload the data to Thingspeak and monitor the logged data in a graphical format.

4. Monitor the data on smartphones through the Blynk App.

Inspiration:

In a country like India, most people are dependent on agriculture. For effective planning in agriculture, the weather forecast is of utmost importance. So farmers are always interested in the Weather Forecasts. As farmers stay in remote areas, they have to wait for news updates on TV, Radio, or in News Papers. Unfortunately, this weather information is not accurate data of their local environment rather it gives data from the nearest weather forecasting station.

Being the son of a farmer, I decided to monitor the local weather and inform my father earlier. So that he can take an early decision for his farm.