Tomato Farm Environment Forecasting System Using Machine Learning

초록

A system is proposed to predict, compare and analyze the environmental data of tomato farms with the actual data, so that it recovers the environment in the facility when detecting anomalies. For this purpose, we collected a set of farm data from real smart farm. The anomaly detection is achieved by comparison with LSTM prediction.