Autonomous Pest and Decay Management #2 - Workflow

5 Jan 2021

The autonomous pest management will take care of the elimination of flora and fauna pests in limited or confined cultivation.

The system consists of a Rpi 4 which acts as the brain.
A Rpi cam connected to the Rpi4 will detect the presence of any pests via OpenCV and machine learning models.
The PIM486 Enviro HAT will additionally detect any change in the ambient temperature, humidity, pressure, etc which can lead to plant decay.
The PIM487 Automation HAT will control a set of servo motors fitted with a high-intensity laser diode.
The Rpi4, with the help of a custom target detection algorithm (offset estimation), will point the servo assembly fitted with the laser diode to the pest/decay area of the cultivation.
A high-intensity laser beam will be projected onto the target area which will essentially eliminate the pest/decay infection.
Remote monitoring and manual control support using a node-red server.
Daily cultivation data report uploaded to the cloud server for remote analysis using MQTT.

The whole assembly consists of the following parts:

Extra parts other than included in the challenger kit are as follows:

[image source: Google]

This will be well inside the size of 1m³ constraint as all of the components used in the project are of small size.

We estimate a size close to 0.0034 m³ which means we still have a lot of room left in case we need to include more such systems.

The system will be controlled via python scripts.

The system is well within the size constraint of 1m³.
The compact nature of the system allows having multiple of these systems installed at various locations in and around the cultivation area for maximum benefit.
The advantage of our system is to produce vegetation in a lesser footprint without worrying about pests and plant decay.