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Akademický článek

Field-scale yield prediction of winter wheat under different irrigation regimes based on dynamic fusion of multimodal UAV imagery

Autor: Juncheng Ma, Binhui Liu, Lin Ji, Zhicheng Zhu, Yongfeng Wu, Weihua Jiao

Publikováno v: International Journal of Applied Earth Observations and Geoinformation, Vol 118, Iss , Pp 103292- (2023)

Field-scale crop yield prediction is critical to site-specific field management, which has been facilitated by recent studies fusing unmanned aerial vehicles (UAVs) based multimodal data. However, these studies equivalently stacked multimodal data an

Externí odkaz: https://doaj.org/article/2a1879943a854fae9980315a0b87c49a

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Akademický článek

Uncovering the Drivers and Regional Variability of Cotton Yield in China

Autor: Yaqiu Zhu, Bangyou Zheng, Qiyou Luo, Weihua Jiao, Yadong Yang

Publikováno v: Agriculture, Vol 13, Iss 11, p 2132 (2023)

Cotton (Gossypium hirsutum L.) is an economically important crop in China, and responses of cotton yield in different regions to separate and joint changes in natural and anthropogenic factors are the foundation for sustainable development under clim

Externí odkaz: https://doaj.org/article/bb71553728d64e00a3fa67f176ef774c

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Akademický článek

Multi-dimensional variables and feature parameter selection for aboveground biomass estimation of potato based on UAV multispectral imagery

Autor: Shanjun Luo, Xueqin Jiang, Yingbin He, Jianping Li, Weihua Jiao, Shengli Zhang, Fei Xu, Zhongcai Han, Jing Sun, Jinpeng Yang, Xiangyi Wang, Xintian Ma, Zeru Lin

Publikováno v: Frontiers in Plant Science, Vol 13 (2022)

Aboveground biomass (AGB) is an essential assessment of plant development and guiding agricultural production management in the field. Therefore, efficient and accurate access to crop AGB information can provide a timely and precise yield estimation,

Externí odkaz: https://doaj.org/article/5fb6c783729443ef8e0489d7da3e57e9

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Akademický článek

Nondestructive estimation of potato yield using relative variables derived from multi-period LAI and hyperspectral data based on weighted growth stage

Autor: Shanjun Luo, Yingbin He, Qian Li, Weihua Jiao, Yaqiu Zhu, Xihai Zhao

Publikováno v: Plant Methods, Vol 16, Iss 1, Pp 1-14 (2020)

Abstract Background The accurate estimation of potato yield at regional scales is crucial for food security, precision agriculture, and agricultural sustainable development. Methods In this study, we developed a new method using multi-period relative

Externí odkaz: https://doaj.org/article/d4fa13d4e38048fda82c1bee8a2a300c

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Akademický článek

Comparison of the retrieving precision of potato leaf area index derived from several vegetation indices and spectral parameters of the continuum removal method

Autor: Shanjun Luo, Yingbin He, Zhuozhuo Wang, Dingding Duan, Jingke Zhang, Yuantao Zhang, Yaqiu Zhu, Jinkuan Yu, Shengli Zhang, Fei Xu, Jing Sun, Zhongcai Han, Weihua Jiao

Publikováno v: European Journal of Remote Sensing, Vol 52, Iss 1, Pp 155-168 (2019)

Leaf area index (LAI) is one of the important variables for crop growth monitoring and yield estimating. In this article, the potato LAI was retrieved by several vegetation indices (VIs) and spectral parameters of the continuum removal method (SPCRM)

Externí odkaz: https://doaj.org/article/00fed86c80aa418bbd4025a770d72c57

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Akademický článek

Remotely Sensed Prediction of Rice Yield at Different Growth Durations Using UAV Multispectral Imagery

Autor: Shanjun Luo, Xueqin Jiang, Weihua Jiao, Kaili Yang, Yuanjin Li, Shenghui Fang

Publikováno v: Agriculture, Vol 12, Iss 9, p 1447 (2022)

A precise forecast of rice yields at the plot scale is essential for both food security and precision agriculture. In this work, we developed a novel technique to integrate UAV-based vegetation indices (VIs) with brightness, greenness, and moisture i

Externí odkaz: https://doaj.org/article/c606a36eb6db4248962308623c75f09d

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Akademický článek

Hyperspectral Estimates of Soil Moisture Content Incorporating Harmonic Indicators and Machine Learning

Autor: Xueqin Jiang, Shanjun Luo, Qin Ye, Xican Li, Weihua Jiao

Publikováno v: Agriculture, Vol 12, Iss 8, p 1188 (2022)

Soil is one of the most significant natural resources in the world, and its health is closely related to food security, ecological security, and water security. It is the basic task of soil environmental quality assessment to monitor the temporal and

Externí odkaz: https://doaj.org/article/a49dccc7a790498c9a6454f75c775ea3

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