Low-altitude, high-resolution aerial imaging systems for row and field crop phenotyping: A review

作者: Sindhuja Sankaran , Lav R. Khot , Carlos Zúñiga Espinoza , Sanaz Jarolmasjed , Vidyasagar R. Sathuvalli

DOI: 10.1016/J.EJA.2015.07.004

关键词:

摘要: … Aerial, high-resolution multispectral images were acquired at … between nitrogen stress index and grain yield with r of 0.40–… rapid yield estimation techniques as needed in crop …

参考文章(136)
Rocío Calderón Madrid, Juan Antonio Navas Cortés, Carlos Lucena León, Pablo J Zarco-Tejada, None, HIGH-RESOLUTION HYPERSPECTRAL AND THERMAL IMAGERY ACQUIRED FROM UAV PLATFORMS FOR EARLY DETECTION OF VERTICILLIUM WILT USING FLUORESCENCE, TEMPERATURE AND NARROW-BAND INDICES Transregional Collaborative Research Centre 32. ,(2013) , 10.5880/TR32DB.KGA94.3
Emre Ilker, Fatma Tonk, Muzafer Tosun, Ozgur Tatar, Effects of Direct Selection Process for Plant Height on some Yield Components in Common Wheat (Triticum aestivum) Genotypes International Journal of Agriculture and Biology. ,vol. 15, pp. 795- 797 ,(2013)
R. Giuliani, J.A. Flore, Potential use of infra-red thermometry for the detection of water stress in apple trees. Third International Symposium on Irrigation of Horticultural Crops, Estoril (Lisbon), Portugal, 28 June-2 July, 1999.. pp. 383- 392 ,(2000) , 10.17660/ACTAHORTIC.2000.537.45
M Zaman-Allah, O Vergara, J L Araus, A Tarekegne, C Magorokosho, P J Zarco-Tejada, A Hornero, A Hernández Albà, B Das, P Craufurd, M Olsen, B M Prasanna, J Cairns, Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize Plant Methods. ,vol. 11, pp. 35- 35 ,(2015) , 10.1186/S13007-015-0078-2
Llorenç Cabrera-Bosquet, José Crossa, Jarislav von Zitzewitz, María Dolors Serret, José Luis Araus, High-throughput phenotyping and genomic selection: the frontiers of crop breeding converge. Journal of Integrative Plant Biology. ,vol. 54, pp. 312- 320 ,(2012) , 10.1111/J.1744-7909.2012.01116.X
Maria Klodt, Katja Herzog, Reinhard Töpfer, Daniel Cremers, Field phenotyping of grapevine growth using dense stereo reconstruction BMC Bioinformatics. ,vol. 16, pp. 143- 143 ,(2015) , 10.1186/S12859-015-0560-X