Yield Prediction

Forecast greenhouse crop yield from climate data so growers can plan further ahead.

Business impact

• Forecast horizon — The article says the model extended the yield forecast from up to one month to three months.
• Yield prediction accuracy — The article says the LSTM model gave a better yield prediction.

Data requirements

• Greenhouse climate data (tabular) — Used as the input for yield forecasting.

AI methods and techniques

• Classical machine learning — Used first to analyze climate data and forecast yield.
• LSTM — Used later to improve yield prediction and extend the forecast horizon.

AI models and model families

LSTM

Industries

Real-world evidence

1 documented case study on record.

Companies using this: Motorleaf.