Table 13 Comparison of predicted wheat yields by CNN, RNN, and ANN with CRS benchmark yields (2017–2022).
From: Predicting wheat yield using deep learning and multi-source environmental data
Proposed method results (Tones) | CRS(benchmark)(Tones) | |||
|---|---|---|---|---|
Year | CNN | ANN | RNN | CRS |
2017 | 799.1192 | 646.309 | 478.6387 | 616 |
2018 | 883.575 | 711.8301 | 532.196 | 612 |
2019 | 715.8042 | 557.7229 | 426.0078 | 582 |
2020 | 733.527 | 573.4643 | 439.5536 | 564 |
2021 | 780.9112 | 615.7477 | 467.7094 | 569 |
2022 | 604.5954 | 481.0005 | 354.5905 | 642 |
