Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables-Reference-Cited by-同舟云学术

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Estimation of potato yield using a semi-mechanistic model developed by proximal remote sensing and environmental variables

Published:2024-08 Issue: Volume:223 Page:109117
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Fan Yiguang,Liu Yang,Yue Jibo,Jin Xiuliang,Chen Riqiang,Bian Mingbo,Ma Yanpeng,Yang Guijun,Feng Haikuan^ORCID

Publisher

Elsevier BV

Reference68 articles.

1. The Ukraine war and rising commodity prices: Implications for developing countries;Arndt;Glob Food Sec,2023

2. Integrating spectral, textural, and morphological data for potato LAI estimation from UAV images;Bian;Agronomy,2023

3. Optimal nitrogen rate strategy for sustainable rice production in China;Cai;Nature,2023

4. Hyperspectral inversion of nitrogen content in maize leaves based on different dimensionality reduction algorithms;Cao;Comput. Electron. Agric.,2021

5. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat;Chen;Remote Sens. Environ.,2010

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Application of Deep Learning in the Whole Potato Production Chain: A Comprehensive Review;Agriculture;2024-07-25

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