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283平均天数
244中位天数
83最短天数
595最长天数
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Paper Review Records

全部论文审稿周期

20 篇有效样本 · 按发表日期由新到旧排列
审稿天数=录用日期-收稿日期;保留 PDF/DOI/网页源链接

595 天

Corn stalk diameter estimation using deep learning

作者
Nathan Sprague; John Evans; Michael Mardikes展开收起
作者单位
1. Purdue University, West Lafayette, USA展开收起
PDF源文件 DOI 网页
315 天

A map-based decision-support framework for variable-depth seeding of fodder maize integrating proximal soil sensing and multi-temporal satellite NDVI data

作者
Jialu Sun; Manuel Vázquez-Arellano; Abdul Mounem Mouazen展开收起
作者单位
1. Department of Environment, Ghent University, Gent, Belgium展开收起
PDF源文件 DOI 网页
83 天

Determination of critical nitrogen loss zones and high-resolution nitrate leaching modeling in drinking water protection areas with satellite-based algorithms

作者
Martin Mittermayer; Joseph Donauer; Felix Klein; Frank Leßke; Ludwig Hagn; Johannes Schuster; Kurt-Jürgen Hülsbergen展开收起
作者单位
1. Chair of Organic Agriculture and Agronomy, Technical University Munich, Freising, Germany; 2. Department of Bioengineering, University of Applied Sciences Weihenstephan-Triesdorf, Freising, Germany展开收起
PDF源文件 DOI 网页
91 天

Precision monitoring of leaf area index and chlorophyll content of major field crops in Northern Europe using UAV remote sensing and radiative transfer modeling

作者
Shangharsha Thapa; El Houssaine Bouras; Per-Ola Olsson; Erik Alexandersson; Thomas Roitsch; Johannes Albertsson; Axel Hörteborn; Lars Eklundh展开收起
作者单位
1. Department of Earth and Environmental Sciences (MGeo), Lund University, Lund, Sweden; 2. Department of Plant and Environmental Sciences, University of Copenhagen, Copenhagen, Denmark; 3. Center for Remote Sensing Application (CRSA), Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco; 4. Department of Plant Breeding, Swedish University of Agricultural Sciences, Lomma, Sweden; 5. Department of Biosystems and Technology, Swedish University of Agricultural Sciences, Lomma, Sweden; 6. Safety and Transport, Maritime Department, RISE, Research Institutes of Sweden, Göteborg, Sweden展开收起
PDF源文件 DOI 网页
513 天

Robust identification of known and unknown weeds with crop center localization based on Open-set object detection

作者
Lamin L. Janneh; Leilei He; Bryan Gilbert Murengam; Xiaojuan Liu; Mbemba Hydara; Man Xia; Rui Li; Yanxin Zhang; Longsheng Fu展开收起
作者单位
1. College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling, China; 2. School of Information Communication and Technology, University of The Gambia, Banjul, Gambia; 3. Key Laboratory of Agricultural Internet of Things, Ministry of Agriculture and Rural Affairs, Yangling, China; 4. Shaanxi Key Laboratory of Agricultural Information Perception and Intelligent Service, Yangling, China; 5. Northwest A&F University Shenzhen Research Institute, Shenzhen, China展开收起
PDF源文件 DOI 网页
147 天

Estimating height and leaf area index of ‘Tifton 85’ bermudagrass using UAV-derived vegetation indices under heterogeneous tropical field conditions

作者
Samuel Vilela dos Santos; Ângelo Mantovani Amorim de Freitas Oliveira; Vitória Côrtes da Silva Souza de Oliveira; Júlia Ayres de Oliveira; Jéssica Mota Pimenta; Mariana de Oliveira Pereira; Ricardo Vilar Neves; Marcel Carvalho Abreu; Vinicius Nunes Henrique Silva; Anderson Gomide Costa; Gustavo Bastos Lyra展开收起
作者单位
1. Atmospheric and Environmental Modelling Laboratory (LMAAT), Rural Federal University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil; 2. Post-graduation Program in Environmental and Agricultural Engineer (PPGEAAmb), Rural Federal University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil; 3. Post-graduation Program in Forest and Environmental Sciences (PPGCAF), Rural Federal University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil; 4. Post-graduation Program in Agronomy (Crop Production), Engineer and Agricultural Sciences Campus (CECA), Federal University of Alagoas (UFAL), Rio Largo, Alagoas, Brasil; 5. Technology Department (DTC). Technology Center (CTC), Umuarama Regional Campus (CAU), Federal University of Maringá (UEM), Umuarama, Paraná, Brasil; 6. Spectroradiometry Laboratory (LABSPEC), Rural Federal University of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil; 7. National Center for Monitoring and Early Warning of Natural Disasters (CEMADEN), São José dos Campos, São Paulo, Brasil; 8. Department of Telecommunication Engineering, Fluminense Federal University, Niterói, Rio de Janeiro, Brazil; 9. Departamento de Ciências Ambientais, Instituto de Florestas, Rural Federal Univesity of Rio de Janeiro (UFRRJ), Seropédica, Rio de Janeiro, Brazil展开收起
PDF源文件 DOI 网页

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《融合机器学习与生命周期评价的城市污水处理碳排放预测与优化》

样本口径2026 年最近 5 篇有效论文样本

平均审稿62 天

中位数65 天

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