Article
Biology
Hao Chen, Yang Liu, Chenyu Wang, Aobo Zhang, Bingpeng Chen, Qing Han, Jincheng Wang
Summary: This study aimed to design an irregular biomimetic scaffold for use in bone tissue engineering applications. The scaffold was based on the Voronoi tessellation method and a new gradient method, showing good controllability and excellent permeability.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Computer Science, Interdisciplinary Applications
Zhihao Shen, Duruo Huang, Gang Wang, Yuntian Zhao, Feng Jin
Summary: A mesoscale bond model to study the mechanical behavior of cemented granular particles was developed in this study. The numerical results were consistent with the experimental results, indicating that the model can accurately simulate the behavior of cemented granular materials with different cement ratios.
COMPUTERS AND GEOTECHNICS
(2022)
Article
Agronomy
Catarina Esteves, David Fangueiro, Ricardo P. Braga, Miguel Martins, Manuel Botelho, Henrique Ribeiro
Summary: Precision fertilization using remotely sensed data, specifically soil electrical conductivity (ECa) and normalized difference vegetation index (NDVI), provides a cost-effective solution to identify soil fertility variability. Combining these two indicators allows for the delineation of different management zones and the discovery of soil fertility differences and ionic imbalances for targeted fertilization and soil management.
Article
Engineering, Marine
Jinqiang Bi, Miao Gao, Wenjia Zhang, Xuefeng Zhang, Kexin Bao, Quanbo Xin
Summary: Marine accidents, despite being rare, can have severe consequences. Evaluating navigation safety in coastal waters is crucial for ensuring the safety of ship navigation. This paper proposes an irregular grid division method that considers various influencing factors to objectively assess navigation safety. By utilizing spatial analysis algorithms and integrating time-varying factors, a dynamic irregular grid is created. The evaluation indicators are divided into different risk levels and the entropy weight theory is used to calculate their weights. The study demonstrates the adaptability of the method in the coastal waters of Lianyungang Port.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Agriculture, Multidisciplinary
Susan S. Hubbard, Myriam Schmutz, Abdoulaye Balde, Nicola Falco, Luca Peruzzo, Baptiste Dafflon, Emmanuel Leger, Yuxin Wu
Summary: This study in Bordeaux vineyards explores the relationship between soil classes and grapevine vigor using simple statistical methods and high-resolution datasets. Results indicate a strong correlation between soil classes and grapevine vigor, providing valuable insights for vineyard management and replanting.
PRECISION AGRICULTURE
(2021)
Article
Agronomy
Abid Ali, Valda Rondelli, Roberta Martelli, Gloria Falsone, Flavio Lupia, Lorenzo Barbanti
Summary: The study utilized seven years of crop yield data from a 9-hectare field in Northern Italy and conducted geostatistical analysis, spatial mapping, and data interpolation. Results showed that soil traits and NDVI data were best correlated with multiple-year standardized yield data from different crop types. Maps established using these data showed an 83% pixel agreement in soil and NDVI characteristics for two management zones.
Article
Computer Science, Information Systems
Walayat Hussain, J. M. Merigo, M. R. Raza, Honghao Gao
Summary: The study proposes a novel fuzzy time series prediction model, the CI-ANFIS model, which reduces data dimension, handles the nonlinear relationship of cloud QoS dataset, and outperforms all current techniques in terms of prediction accuracy.
INFORMATION SCIENCES
(2022)
Article
Computer Science, Interdisciplinary Applications
Gaocai Fu, Buyun Sheng, Yuzhe Huang, Ruiping Luo, Geng Chen, Ganlin Sheng
Summary: This study proposes an adaptive sampling method based on quasi-Gauss curvature grid to solve the problems of unreasonable distribution of sampling points and omission of sampling area in traditional sampling methods. It can be directly used to detect and analyze the computerized numerical control machining quality of parts.
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
(2023)
Article
Computer Science, Software Engineering
Hsiang-Yun Wu, Martin Nollenburg, Ivan Viola
Summary: The article introduces a multi-level area balancing technique for laying out clustered graphs to aid in understanding complex relationships. The method focuses on three main factors: area balancing, schematized space partitioning, and hairball management.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2022)
Article
Energy & Fuels
Mehran Memari, Ali Karimi, Hamed Hashemi-Dezaki
Summary: This research develops a new clustering-based reliability evaluation method to reduce the computation time of MCS by considering direct cyber-physical interdependencies and the stochastic behaviors of renewable distributed generation units and the demand side.
SUSTAINABLE ENERGY GRIDS & NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Junhao Zheng, Xiaoming Chen, Yi Huang
Summary: This article presents a method for antenna radiation pattern reconstruction using clustering analysis and Voronoi cell classification. The proposed method reduces the number of initial sampling points, improves measurement efficiency, and enhances the reconstruction accuracy of the far-field pattern of the tested antenna.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Chemistry, Analytical
Pingzhang Gou, Baoyong Guo, Miao Guo, Shun Mao
Summary: This paper proposes an energy-efficient coverage enhancement method, VKECE-3D, based on 3D-Voronoi partitioning and the K-means algorithm. The method minimizes the number of active nodes while ensuring coverage, leading to improved network coverage and extended network lifetime.
Article
Energy & Fuels
Amitay Kligman, Arbel Yaniv, Yuval Beck
Summary: A new method is proposed in this paper for applying a BIRCH algorithm as part of a multi-dimensional load disaggregation solution based on the extraction of multiple features from a smart meter. The method is simple, fast, and does not require preliminary training or powerful hardware. It is tested using a private dataset and a public dataset.
Article
Engineering, Electrical & Electronic
Bechir Ben Gouissem, Rahma Gantassi, Salem Hasnaoui
Summary: Hierarchical based routing is a group-based routing technique designed for large-scale wireless sensor networks. It aims to increase network lifetime by dividing the network into clusters. However, traditional clustering techniques have limitations and do not consider the self-organization and dynamic topology of WSNs. In this paper, a grid-based k-means clustering protocol (GBK) is proposed to address these weaknesses. GBK-R, an enhanced version, is also proposed to improve network stability. Both GBK and GBK-R algorithms demonstrate enhanced network stability and increased network lifetime.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2022)
Article
Agriculture, Multidisciplinary
Tamara C. Maltauro, Luciana P. C. Guedes, Miguel A. Uribe-Opazo, Leticia E. D. Canton
Summary: The aim of this study is to define Application Zones (AZs) in agricultural areas using soil chemical attributes through clustering methods and assess the acquisition of reduced sample configurations within these AZs. The study used data from a commercial agricultural area in Brazil and evaluated five clustering methods. The results showed that reducing the sample size by 25% was the most effective in obtaining a reduced sample configuration. This study highlights the possibility of reducing the sample size using AZs.
SPANISH JOURNAL OF AGRICULTURAL RESEARCH
(2023)
Article
Agriculture, Multidisciplinary
Wenjing Li, Beth Clark, James A. Taylor, Helen Kendall, Glyn Jones, Zhenhong Li, Shan Jin, Chunjiang Zhao, Guijun Yang, Chuanmin Shuai, Xin Cheng, Jing Chen, Hao Yang, Lynn J. Frewer
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2020)
Article
Soil Science
Caio F. Zani, John Gowing, Geoffrey D. Abbott, James A. Taylor, Elisa Lopez-Capel, Julia Cooper
Summary: The study revealed the advantages of organic agricultural systems over conventional systems in terms of soil quality indicators, such as higher microbial biomass carbon and similar potassium, bulk density, aggregate stability, and total carbon. Grazing regime and changes in the proportion of temporary grass-clover leys in crop rotations have a significant impact on soil quality, and mixed farming systems may be crucial for delivering multifunctional agricultural ecosystems.
EUROPEAN JOURNAL OF SOIL SCIENCE
(2021)
Article
Agriculture, Multidisciplinary
Gerald Blasch, Zhenhai Li, James A. Taylor
PRECISION AGRICULTURE
(2020)
Article
Food Science & Technology
Leo Pichon, James Arnold Taylor, Bruno Tisseyre
Article
Biotechnology & Applied Microbiology
Terry Bates, Rhiann Jakubowski, James A. Taylor
Summary: The study investigated the impact of crop load on juice soluble solids and seasonal change in vine pruning weight in New York Concord grapevines. It found that pruning severity significantly influenced crop load, which in turn affected the yield and quality of the grapes.
AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE
(2021)
Article
Agriculture, Multidisciplinary
J. Lamour, G. Le Moguedec, O. Naud, M. Lechaudel, J. Taylor, Bruno Tisseyre
Summary: Precision agriculture aims to use farmer-generated data to make production decisions. However, the asynchronicity of banana cropping systems makes it challenging to analyze and represent data effectively. A new method was developed to generate information on the variability of flowering events in banana fields, highlighting the importance of considering these factors in yield analysis and production decision-making.
PRECISION AGRICULTURE
(2021)
Article
Agriculture, Multidisciplinary
L. Pichon, G. Brunel, J. C. Payan, J. Taylor, V. Bellon-Maurel, B. Tisseyre
Summary: Monitoring vine water status is essential for vineyard management, with new technologies like the ApeX-Vigne mobile app providing a cost-effective solution for characterizing water stress and spatial structures at different scales. Results from the application's use in a large wine-producing region in southern France demonstrate its potential for water resource management and specific vineyard-related applications, opening up new avenues for research in combining spatial data sources.
PRECISION AGRICULTURE
(2021)
Article
Biotechnology & Applied Microbiology
James A. Taylor, Terence R. Bates
Summary: Research on canopy sensing in viticulture explores the use of various vegetative indices and principal component analysis to predict pruning weights. The study suggests that the normalized difference red edge index (NDRE) outperforms the normalized difference vegetation index (NDVI) in predicting pruning weights, and that multivariate approaches may offer advantages over single index methods.
AMERICAN JOURNAL OF ENOLOGY AND VITICULTURE
(2021)
Article
Agriculture, Multidisciplinary
Helen Kendall, Beth Clark, Wenjing Li, Shan Jin, Glyn. D. Jones, Jing Chen, James Taylor, Zhenhong Li, Lynn. J. Frewer
Summary: The potential of precision agriculture technologies among family farmers in China was revealed through an exploratory qualitative study. However, there is heterogeneity in their perceptions and willingness to adopt these technologies. To improve adoption rates, barriers need to be reduced through low-cost applications, improved information provision, financial support mechanisms, and reliable, regulated and affordable service provision.
PRECISION AGRICULTURE
(2022)
Article
Soil Science
Caio Fernandes Zani, Elisa Lopez-Capel, Geoffrey D. Abbott, James A. Taylor, Julia M. Cooper
Summary: This study compared the impact of conventional and organic agricultural systems, grazing regimes, and proportions of short-term grass-clover leys on soil carbon stocks and distribution among soil organic matter fractions. Results showed no difference in soil carbon stocks between systems, but conventional systems had higher carbon content at a shallower depth. Increasing the proportion of grazed leys led to higher soil carbon stocks and increased content of specific carbon fractions. Longer grazed leys were especially beneficial for certain carbon fractions under the conventional system.
SOIL USE AND MANAGEMENT
(2022)
Article
Agriculture, Multidisciplinary
A. Cheraiet, O. Naud, M. Carra, S. Codis, F. Lebeau, J. Taylor
Summary: This study demonstrated the use of multivariate statistical models to accurately predict deposition distribution from a typical face-to-face sprayer based on the structural characteristics of the plant canopy, especially in the early stages of the growing season. Compared to LWA-based univariate prediction models, multivariate models showed higher accuracy and robustness throughout the growing season.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2021)
Review
Agronomy
Cecile Laurent, Baptiste Oger, James Arnold Taylor, Thibaut Scholasch, Aurelie Metay, Bruno Tisseyre
Summary: Grapevine yield, expressed in either grape mass or wine volume units, is crucial for decision-making in the grape and wine industry. While various yield assessment methods have been proposed, few have taken into consideration the operational context and specific needs of commercial vineyards and wineries.
EUROPEAN JOURNAL OF AGRONOMY
(2021)
Review
Agriculture, Multidisciplinary
Daniel Pasquel, Sebastien Roux, Jonathan Richetti, Davide Cammarano, Bruno Tisseyre, James A. Taylor
Summary: Crop models are useful tools for understanding complex processes through simulation. With the availability of new spatial data in modern agriculture, these models are increasingly being used at multiple scales. This article reviews the reasons for spatializing crop models and the methods used, and focuses on the evaluation of these models. It suggests that traditional evaluation methods may not be sufficient and discusses the potential for complementary evaluation in precision agriculture.
PRECISION AGRICULTURE
(2022)
Article
Environmental Sciences
Eva Lopez-Fornieles, Guilhem Brunel, Florian Rancon, Belal Gaci, Maxime Metz, Nicolas Devaux, James Taylor, Bruno Tisseyre, Jean-Michel Roger
Summary: This paper introduces an extension of the PLS regression method to three-way data for integrating multiwavelength remote sensing data at a regional scale. A case study validates the effectiveness of the proposed method in estimating yield loss.
Article
Food Science & Technology
Anice Cheraiet, Olivier Naud, Mathilde Carra, Sebastien Codis, James Taylor
Summary: This study compared an experimental method using artificial targets (PVC collectors) in the canopy with a manual method of foliar deposition measurements on real leaves. The results showed differences in the variance of deposition between the artificial targets and real foliage, highlighting the need for statistical distribution analysis.