Deep Learning for Prawn Farming: Forecasting and Anomaly Detection. (arXiv:2205.06359v1 [cs.LG])

We present a decision support system for managing water quality in prawn
ponds. The system uses various sources of data and deep learning models in a
novel way to provide 24-hour forecasting and anomaly detection of water quality
parameters. It provides prawn farmers with tools to proactively avoid a poor
growing environment, thereby optimising growth and reducing the risk of losing
stock. This is a major shift for farmers who are forced to manage ponds by
reactively correcting poor water …

anomaly anomaly detection arxiv deep learning detection farming forecasting learning