This is the last blog of the Smart Poultry Farm project. I will do a summary about the project and talk about possible enhancements to the smart farm itself and the Layer-N cloud.
Blog #1: This is an introduction. I talked about the concept of my proposed system and some pictures about the kit being used.
Blog #2: This blog explained how to setup and configure the hardware and software. How to register and navigate the Omega Layer-N Cloud was described in the blog.
Blog #3: Here I described how I set up the gateway, smart sensors and Layer-N cloud configuration for the Smart Farm system. I showed some pictures of the Smart Farm scenario.
Blog #4: In this post, I configured the alarms and notification setting in the Layer-N cloud. Few screen captures of the dashboard about the gateway and sensor's reading were displayed.
At the current stage, the smart farm, via Omega Layer-N cloud, has these two capabilities:
1) remotely monitor the farm's temperature, humidity and light intensity;
2) send alarms and alerts by email and SMS notifications
This is a simple project. Of course, there are few enhancements that can be added to the project. Here are some of them:
1) the system can send mmands to control the temperature, humidity and light intensity whenever these metrics are out of the range of condusiive conditions;
2) add more types of sensors such as gas and moisture, etc;
3) using deep learning, AI model can classify chicken "speech" and inprove poutlry production.
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As for the Omega cloud, I hope the following features will be included in the future:
1) customisation of the dashboard is allowed. Charts in the form of widgets can be moved around via drag-and-drop action;
2) a developer friendly API for easier and better integration to other system;
3) a webhook setting for better and deep integration with other system;
4) ability to customise the edge's (both gateway and smart sensor) firmware so that developers can add additional functions and features to the system.
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