Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA最新文献_第5页

Chemical Weathering of Mafic and Ultramafic Volcanic Arc Bedrock in a Tropical Montane Setting 热带山地环境中基性和超基性火山弧基岩的化学风化作用

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.2023524

Kimberly Méndez-Méndez, A. Moore, Juxxara Ortiz Silvestry, Yahaira D. Álvarez Gandía,, K. Hughes, D. Granger

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Predicting the Probability of Concentrated Flow Occurrence on Rangeland with Three-dimensional Data 利用三维数据预测牧场集中流发生概率

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.23043

S. Nouwakpo, Osama Z. Al‐Hamdan, C. J. Williams

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The Effects of Natural Disturbance in Puerto Rico: Forests, Infrastructure and Environmental Implications 波多黎各自然干扰的影响:森林、基础设施和环境影响

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.2023700

G. González

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Sediment Transport Analysis for Riverbed Mining According to New Puerto Rico Regulations 根据波多黎各新法规的河床采矿泥沙输运分析

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.2023502

W. Silva-Araya

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Usage of Proximal Sensing to Trace the Origin of Deposited Sediments in a Drainage Subbasin 利用近端感应追踪流域次盆地沉积沉积物的来源

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.23066

W. de Lima, M. Mancini, J. C. Avanzi, S. H. Silva, S. Acuña-Guzman, J. A. Demattê, N. Curi

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Meander Evolution at the Río Grande de Añasco Lower Valley 蜿蜒进化在Río Grande de Añasco下山谷

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.23531

Enrique Rodríguez-Quiñones, W. Silva-Araya

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Estimation of crop residue cover in high-resolution RGB images using features from a pre-trained convolutional neural network 利用预训练卷积神经网络的特征估计高分辨率RGB图像中的作物残茬覆盖

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.32469/10355/91517

Timotius A. P. Lagaunne

{"title":"Estimation of crop residue cover in high-resolution RGB images using features from a pre-trained convolutional neural network","authors":"Timotius A. P. Lagaunne","doi":"10.32469/10355/91517","DOIUrl":"https://doi.org/10.32469/10355/91517","url":null,"abstract":"Plant residue on the soil surface increases the sustainability food and fiber production in agricultural systems. Automated assessments of residue cover based on imagery has the potential to reduce labor and human bias associated with in-field measurements. Our objective was to evaluate the capacity of a transfer learning strategy to improve estimates of residue cover derived from high-resolution RGB images. The imagery for the project was collected from 88 locations in 40 row crop fields in five Missouri counties between mid-April and early July in 2018 and 2019. At each field location, 50 contiguous 0.3 m x 0.2 m region of interest (ROI) images (ground sampling distance of 0.014 cm pixel-1) were extracted from imagery resulting in a dataset of 4,400 ROI images; 3,000 used for cross validation and training (data collected in 2018) and 1,400 used for testing (data collected in 2019). The percent residue for each ROI image (ground truth) was determined by a bullseye grid method (n = 100). Features were extracted from ROI images using the VGGNet16 model, a convolutional neural network model. To reduce feature numbers, we averaged the features based on each kernel resulting 1,472 feature dataset per ROI. After the extraction, we compared three feature selection strategies: recursive feature elimination support vector machine classification (RFE-SVM), sequential forward feature selection classification (SFFS-SVM) and forward regression feature selection (FRFS). Best locations outcomes were obtained with RFE-SVM (r2 = 0.93, MAE = 4.9, with three outliers) and FRFS (r2 = 0.94, MAE = 5.2, with two outliers). The three models had no apparent pattern of correlation among selected features and limited overlap in outliers suggesting unique characteristics among the three selected feature sets. These results were superior to previous research based the same data set using 70 manually extracted known features. This suggested that transfer learning through features extracted from VGGNet16 pre-trained on ImageNet was a successful strategy for estimating residue cover. This research also confirmed the utility of high-resolution RGB imagery to quantify residue cover in agricultural systems.","PeriodicalId":214971,"journal":{"name":"Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133320723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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Soil and Sedimentation Dynamics of a Widespread Shallow Landsliding Event in a Tropical Montane Setting 热带山地大范围浅层滑坡事件的土壤和沉积动力学

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.23523

Edwin O Irizarry-Brugman, K. Hughes

引用次数: 0

Flat Residue Loss by Wind for Different Crop Types: Lab Experiments 不同作物类型的风对扁平残茬的损失:实验室实验

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.2023014

Jiaqiong Zhang, L. Wagner, Katie Talley

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Soil Erosion and Sediment Analysis for the Mameyes River Watershed Using HEC-HMS and GIS 基于HEC-HMS和GIS的马梅耶河流域土壤侵蚀泥沙分析

Soil Erosion Research Under a Changing Climate, January 8-13, 2023, Aguadilla, Puerto Rico, USA Pub Date : 1900-01-01 DOI: 10.13031/soil.23530

C. Padilla, W. Silva-Araya

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