Scalable agritech growbox architecture

Urban Farm DB summary

This study, conducted with a Singaporean urban farming company, presents an IoT-based automated farming system consisting of an agnostic growbox and a web dashboard for monitoring crop growth. Using an image analytics approach to classify crop disease phenotypes — specifically chlorosis and tip burn — in lettuce, the researchers compared it against a machine learning approach on the same dataset. The image analytics approach showed scalability, time efficiency, and accuracy in disease detection, with advantages over the machine learning approach in time and cost efficiency.