A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data

A Deep–Learning Network for Wheat Yield Prediction Combining Weather Forecasts and Remote Sensing Data

Accurately predicting winter wheat yield before harvest could greatly benefit decision-makers when making management decisions. In this study, we utilized weather forecast (WF) data combined with Sentinel-2 data to establish the deep-learning network and achieved an in-season county-scale wheat yiel...

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Bibliographic Details
Main Authors: Dailiang Peng, Enhui Cheng, Xuxiang Feng, Jinkang Hu, Zihang Lou, Hongchi Zhang, Bin Zhao, Yulong Lv, Hao Peng, Bing Zhang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Remote Sensing
Subjects:
weather forecast data
wheat yield prediction
deep-learning
time series
Online Access:https://www.mdpi.com/2072-4292/16/19/3613
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