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Monitoring Plants Growth in Indoor Vertical Farms Using Computer by mrgni.dev is a document available to read on EtoBox.

This thesis by Bhama Krishna Pillutla focuses on using computer vision and AI techniques to monitor the growth of sweet basil plants in indoor vertical farms. It highlights the challenges of traditional agricultural growth tracking and presents an algorithm based on Mask R-CNN for automated growth tracking. The study aims to enhance crop production efficiency in response to climate change and food demand pressures.

Author
mrgni.dev
Language
EN