Development and Validation of a Deep Learning Based Automated Minirhizotron Image Analysis Pipeline  

作　　者：Felix Maximilian Bauer Lena Lärm Shehan Morandage Guillaume Lobet Jan Vanderborght Harry Vereecken Andrea Schnepf 

机构地区：[1]Institute of Bio-and Geosciences,Agrosphere(IBG-3),Forschungszentrum Jülich GmbH,52425 Jülich,Germany [2]Institute of Soil Science and Land Evaluation,University of Hohenheim,7055978 Stuttgart,Germany

出　　处：《Plant Phenomics》2022年第1期247-260,共14页植物表型组学（英文）

基　　金：This work has partially been funded by the German Research Foundation under Germany’s Excellence Strategy,EXC-2070-390732324-Phe-noRob;by the German Federal Ministry of Education and Research(BMBF)in the framework of the funding ini-tiative“Plant roots and soil ecosystems,significance of the rhizosphere for the bio-economy”(Rhizo4Bio),subproject CROP(ref.FKZ 031B0909A).

摘　　要：Root systems of crops play a significant role in agroecosystems.The root system is essential for water and nutrient uptake,plant stability,symbiosis with microbes,and a good soil structure.Minirhizotrons have shown to be effective to noninvasively investigate the root system.Root traits,like root length,can therefore be obtained throughout the crop growing season.

关 键 词：structure CROPS SOIL 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TP391.41[自动化与计算机技术—控制科学与工程]