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An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat

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Plant Phenomics 2019年第1期1卷 162-178页

作者： tahani alkhudaydi Daniel Reynolds Simon Griffiths Ji Zhou Beatriz de la Iglesia University of East Anglia Norwich Research ParkNorwich NR47TJUK University of Tabuk Faculty of Computers&ITTabuk 71491Saudi Arabia Earlham Institute Norwich Research ParkNorwich NR47UZUK John Innes Centre Norwich Research ParkNorwich NR47UHUK Plant Phenomics Research Center China-UK Plant Phenomics Research CentreNanjing Agricultural UniversityNanjing 210095China

Wheat is one of the major crops in the world,with a global demand expected to reach 850 million tons by 2050 that is clearly outpacing current *** continual pressure to sustain wheat yield due to the world’s growing population under fluctuating climate conditions requires breeders to increase yield and yield stability across *** are working to integrate deep learning into field-based phenotypic analysis to assist breeders in this *** have utilised wheat images collected by distributed CropQuant phenotyping workstations deployed for multiyear field experiments of UK bread wheat *** on these image series,we have developed a deep-learning based analysis pipeline to segment spike regions from complicated *** a first step towards robust measurement of key yield traits in the field,we present a promising approach that employ Fully Convolutional Network(FCN)to performsemantic segmentation of images to segment wheat spike *** also demonstrate the benefits of transfer learning through the use of parameters obtained from other image *** found that the FCN architecture had achieved a Mean classification Accuracy(MA)>82%on validation data and>76%on test data and Mean Intersection over Union value(MIoU)>73%on validation data and and>64%on test *** this phenomics research,we trust our attempt is likely to form a sound foundation for extracting key yield-related traits such as spikes per unit area and spikelet number per spike,which can be used to assist yield-focused wheat breeding objectives in near future.

关键词： Wheat breeding crops

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