Improving in-season wheat yield prediction using remote sensing and additional agronomic traits as predictors.

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作者： Adrian,Gracia-Romero ^[1] ; Rubén,Rufo ^[1] ; David,Gómez-Candón ^[2] ; José Miguel,Soriano ^[1] ; Joaquim,Bellvert ^[2] ; Venkata Rami Reddy,Yannam ^[1] ; Davide,Gulino ^[1] ; Marta S,Lopes ^[1]

作者单位： Field Crops Program, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain. ^[1] Efficient Use of Water in Agriculture Program, Institute for Food and Agricultural Research and Technology (IRTA), Lleida, Spain. ^[2]

关键词 NDVI UAV grain yield phenology plant height prediction models wheat

DOI 10.3389/fpls.2023.1063983

PMID 37077632

发布时间 2023-04-21

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Frontiers in plant science

2023年14卷

1063983页

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Improving in-season wheat yield prediction using remote sensing and additional agronomic traits as predictors.

Frontiers in plant science

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Frontiers in plant science

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Improving in-season wheat yield prediction using remote sensing and additional agronomic traits as predictors.

Frontiers in plant science

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Frontiers in plant science

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