CNN-based wheat yield prediction using multi-source and multi-stage data integration from UAV imagery and sensors
In this study, a convolutional neural network (CNN)-based deep learning model was developed to predict durum wheat yield by integrating RGB and multispectral UAV imagery, ground-based sensor measurements (SPAD, NDVI, LAI, and plant height), and climatic parameters under semi-arid conditions. The dat...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Elsevier
2026-02-01
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| Rangatū: | Ecological Informatics |
| Ngā marau: | |
| Urunga tuihono: | http://www.sciencedirect.com/science/article/pii/S1574954126000142 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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