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Accurate mapping of rapeseed fields in the initial flowering stage using Sentinel-2 satellite images and convolutional neural networks

In high-intensity farming, swiftly and accurately adjusting the proportion of artificially reared pollinators according to the flowering phenology of crops is vital. This adjustment is essential for sustaining crop yields without disrupting the ecological niche of native pollinators. Although advanc...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Yifei Sun, Zhenbang Hao, Hongcai Chang, Jialin Yang, Guiling Ding, Zhanbao Guo, Xi He, Jiaxing Huang
Format: Artigo
Sprache:Inglês
Veröffentlicht: Elsevier 2024-05-01
Schriftenreihe:Ecological Indicators
Schlagworte:
Agroecosystems
Sentinel-2
Rapeseed field
Semantic segmentation
Remote sensing
Pollinator
Online-Zugang:http://www.sciencedirect.com/science/article/pii/S1470160X24004849
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