A novel framework for assessing shrublines and their geophysical constraints in alpine regions through probabilistic vegetation mapping and seed-filling algorithm by Zexi Ren, Lin Zhang, Qianlong Wang, Wanjun Hu, Zhou Shi

Get full text

A Ultra-Low Cost and Accurate AMC Algorithm and Its Hardware Implementation by Yuqin Zhao, Tiantai Deng, Bill Gavin, Edward A. Ball, Luke Seed

Get full text

Irregular seeds DEM parameters prediction based on 3D point cloud and GA-BP-GA optimization by Yuling Shao, Qing Wang, Hao Sun, Xinting Ding

“…A 3D point cloud reconstruction method based on Structure-from-Motion Multi-View Stereo (SfM-MVS) was employed to accurately extract 3D models of small and irregularly shaped seeds. …”
Get full text

Seeding Status Monitoring System for Toothed-Disk Cotton Seeders Based on Modular Optoelectronic Sensors by Tao Jiang, Xuejun Zhang, Zenglu Shi, Jingyi Liu, Wei Jin, Jinshan Yan, Duijin Wang, Jian Chen

“…Consequently, the differentiation between single seeding and multiple seeding is achieved with greater accuracy by the spatiotemporal joint counting algorithm, thereby enhancing the monitoring precision of the system. …”
Get full text

3D Vertebrae CT Images Reconstruction and Visualization with Optimized Marching Cubes Algorithm by LIU Xia, LIU Huan, WANG Miao miao, WANG Bo

“…First the 54 DICOM vertebrae CT images that have the resolution of 512×512 were preprocessed with the bilateralfilter denoising algorithm. On the basis of the traditional Marching Cubes (MC)algorithm to improve,we first select the seed voxel,with the region growing algorithm,extract all the voxels that contain isosurfaces, and then through the golden segmentation instead of the traditional linear interpolation to calculate the equivalent point,reduce the calculations of public edge,and then use VTK and OpenGL to implement the 3D reconstruction and visualization of the vertebrae on GPU quickly and accurately,thus the efficiency of the algorithm is improved dramatically.…”
Get full text

A New Approach for Determination of Seed Distribution Area in Vertical Plane by Alper Gülbe, Sefa Altıkat

“…Three different types of no-till seeders equipped with hoe (NS1), single disc (NS2) and winged hoe (NS3) type openers were used and operated at three different tractor forward speeds (0.75 m s-1, 1.25 m s-1 and 2.25 m s-1). …”
Get full text

Growing Correspondence Seeds for Efficient and Accurate Satellite DSM Extraction by Amin Sedaghat, Nazila Mohammadi

“…In this article, a precise and efficient method for DSM extraction from satellite images, called SATellite-growing correspondence seeds (Sat-GCS), is proposed. The proposed method consists of the following six stages: 1) extracting tie-points using features from accelerated segment test detector, dense adaptive self-correlation dense descriptor, and local keypoint correspondence, 2) rational polynomial coefficients bias compensation, 3) epipolar image rectification, 4) dense matching using the GCS algorithm, 5) three-dimensional triangulation to generate ground point clouds, and 6) height interpolation of the point clouds to produce DSM. …”
Get full text

Optimization of extraction in supercritical fluids in obtaining Pouteria lucuma seed oil by response surface methodology and artificial neuronal network coupled with a genetic algo... by Alex Chauca-Cerrutti, Marianela Inga, José Luis Pasquel-Reátegui, Indira Betalleluz-Pallardel, Gustavo Puma-Isuiza

“…LS was previously characterized, and the extraction parameters were optimized using a Box-Behnken design, considering temperature (40–60°C), pressure (100–300 bar), and CO2 flow rate (3–7 mL/min), applying the response surface methodology (RSM) and neural networks with genetic algorithm (ANN+GA). …”
Get full text

TD-CFD-DPM Coupled method for multi-objective optimization of collision pollination parameters in hybrid rice seed production by Te Xi, Rongkai Shi, Huaiqu Feng, Bo Chen, Nian Li, Yongwei Wang, Jun Wang

“…This paper presents a multi-objective optimization method combining the TD-CFD-DPM (Transient Dynamics - Computational Fluid Dynamics - Discrete Phase Model) method and genetic algorithm for optimizing collisional pollination parameters for large-scale seed production of hybrid rice. …”
Get full text

Alignment-free detection and seed-based identification of multi-loci V(D)J recombinations in Vidjil-algo by Borée, Cyprien, Giraud, Mathieu, Salson, Mikaël

“…Compared to the previous algorithms, the new algorithms implemented in Vidjil-algo bring speedups between 3× and 30×, with a smaller memory footprint and without quality loss in results. …”
Get full text

DO-MDS&DSCA: A New Method for Seed Vigor Detection in Hyperspectral Images Targeting Significant Information Loss and High Feature Similarity by Liangquan Jia, Jianhao He, Jinsheng Wang, Miao Huan, Guangzeng Du, Lu Gao, Yang Wang

“…This study selected commonly used rice seed varieties in Zhejiang Province and constructed three individual spectral datasets and a mixed dataset through aging, spectral acquisition, and germination experiments. …”
Get full text

Landslide Susceptibility Zonation Mapping Using Machine Learning Algorithms and Statistical Prediction at Hunza Watershed Basin, Pakistan by A. Khan, G. Khan, M. Minhas, S. A. Hussain Gardezi, J. Ahmed and N. Abbas

Get full text

Improved Coulomb collision operator for kinetic ion transport with EMC3-EIRENE simulating Nitrogen seeding in medium density ITER L-mode scenario by D. Harting, D. Reiser, S. Rode, J. Romazanov, P. Börner, Y. Feng, H. Frerichs, A. Knieps

“…Previous simulations with the kinetic ion transport module of EMC3-EIRENE for Nitrogen seeding in a medium density ITER L-mode scenario showed that the currently simplified Coulomb collision model of EIRENE leads to a strongly overestimated confinement of the kinetic ions in the magnetic mirror regions. …”
Get full text

Design strategy of advanced generation breeding population of Pinus tabuliformis based on genetic variation and inbreeding level by Chengcheng Zhou, Fan Sun, Zhiyuan Jiao, Yousry A. El-Kassaby, Wei Li

Get full text

Machine learning approaches for grain seed quality assessment: a comparative study of maize seed samples in Malawi by Wisdom Richard Mgomezulu, Moses M. N. Chitete, Beston B. Maonga, Mthakati A. R. Phiri

Get full text

Prediction of new candidate proteins and analysis of sub-modules and protein hubs associated with seed development in rice (Oryza sativa) using an ensemble network-based systems bi... by M. R. P. De Silva, J. W. J. K. Weeraman, S. Piyatissa, P. C. Fernando

Get full text

Automatic Seed Word Selection for Topic Modeling by Dahyun Jeong, Jeongin Hwang, Yunjin Choi, Yoon-Yeong Kim

Get full text

Optimizing maize germination forecasts with random forest and data fusion techniques by Lili Wu, Yuqing Xing, Kaiwen Yang, Wenqiang Li, Guangyue Ren, Debang Zhang, Huiping Fan

Get full text

Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…To further refine the predictive model, three feature selection methods—successive projections algorithm (SPA), competitive adaptive reweighted sampling (CARS), and principal component analysis (PCA)—were assessed. …”
Get full text

Smart and accurate: A new tool to identify stressed soybean seeds based on multispectral images and machine learning models by Ana Carolina Picinini Petronilio, Clíssia Barboza Mastrangelo, Thiago Barbosa Batista, Gustavo Roberto Fonseca de Oliveira, Isabela Lopes dos Santos, Edvaldo Aparecido Amaral da Silva

“…In parallel, we determined seed vigor. We designed machine learning models using multispectral imaging data based on three algorithms: neural network, support vector machine, and random forest. …”
Get full text