Optimal approach towards plant disease (pathogen) detection incoprorating data collection, sensors and machine learning
07 March 2024
Published in
Pilot program
To detect plant diseases efficiently, incorporating data collection, sensors, and machine learning can significantly enhance the detection process. Here's an outline of an optimal approach:
Pilot program baseline: optimizing collaboration between IoT sensors, datalogging, and AI/ML phases/teams
06 February 2024
Published in
Pilot program
The pilot program consists of two critical phases: IoT/sensors/datalogging and AI/ML. To achieve seamless integration, both teams must work collaboratively. The key to success lies in proper design, accurate monitoring, and triggering, with comprehensive datalogging of all relevant data points.