Enhancing in-season yield forecast accuracy for film-mulched wheat: A hybrid approach coupling crop model and UAV remote-sensing data by ensemble learning technique-Reference-Cited by-同舟云学术

Enhancing in-season yield forecast accuracy for film-mulched wheat: A hybrid approach coupling crop model and UAV remote-sensing data by ensemble learning technique

Published:2024-05 Issue: Volume:156 Page:127174
ISSN:1161-0301
Container-title:European Journal of Agronomy
language:en
Short-container-title:European Journal of Agronomy

Author:

Cheng Zhikai,Gu Xiaobo,Zhou Zhihui,Zhang Yuanling,Yin Haowei,Li Wenlong,Chang Tian,Du Yadan

Publisher

Elsevier BV

Reference41 articles.

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3. Evaluation of AquaCrop model for greenhouse cherry tomato with plastic film mulch under various water and nitrogen supplies;Cheng;Agric. Water Manag.,2022

4. Spectral purification improves monitoring accuracy of the comprehensive growth evaluation index for film-mulched winter wheat;Cheng;J. Integr. Agric.,2023

5. Estimating the global number and distribution of maize and wheat farms;Erenstein;Glob. Food Sec.,2021

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3. Crop aboveground biomass monitoring model based on UAV spectral index reconstruction and Bayesian model averaging: A case study of film-mulched wheat and maize;Computers and Electronics in Agriculture;2024-09

4. Multi-modal fusion and multi-task deep learning for monitoring the growth of film-mulched winter wheat;Precision Agriculture;2024-05-02

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