Establishing a model to predict the single boll weight of cotton in northern Xinjiang by using high resolution UAV remote sensing data

Author:

Xu Weicheng,Yang Weiguang,Chen Shengde,Wu Changsheng,Chen Pengchao,Lan Yubin

Funder

Guangzhou Municipal Science and Technology Project

Science and Technology Planning Project of Guangdong Province

Higher Education Discipline Innovation Project

Agriculture Research System of China

Leading Talents Program of Guangdong Province

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference45 articles.

1. Low-weight and UAV-based Hyperspectral Full-frame Cameras for Monitoring Crops: Spectral Comparison with Portable Spectroradiometer Measurements;Bareth;Photogrammetrie Fernerkundung Geoinformation,2015

2. Batool, S., Khan, N.U., Makhdoom, K., Bibi, Z., Hassan, G., Marwat, K.B., Farhatullah, Mohammad, F., Raziuddin, & Khan, I.A., 2010. Heritability and genetic potential of upland cotton genotypes for morpho-yield traits. Pakistan Journal Of Botany, 42, 1057-1064.

3. No unbiased estimator of the variance of K-fold cross-validation;Bengio;JOURNAL OF MACHINE LEARNING RESEARCH,2004

4. Development of canopy vigour maps using UAV for site-specific management during vineyard spraying process;Campos;Precis. Agric.,2019

5. LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements;Darvishzadeh;ISPRS Journal Of Photogrammetry And Remote Sensing,2008

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