In this study, a smart greenhouse system was created using high-tech sensors and devices to help plants grow better. The researchers wanted to predict when to water the greenhouse crops accurately. They used advanced types of prediction models called GRU, LSTM, and BLSTM to figure out the best approach. After comparing the results, they found out that one of the techniques worked better than the others in forecasting when to water the plants in the greenhouse precisely. The system can now use this method to decide when to water the crops, making sure they get the right amount of water at the right time for optimal growth.