scholarly journals Planning for Aerial Robot Teams for Wide-Area Biometric and Phenotypic Data Collection

2021 ◽  
Author(s):  
Shashwata Mandal ◽  
Tianshuang Gao ◽  
Sourabh Bhattacharya
Keyword(s):  
Data Collection ◽  
Wide Area ◽  
Phenotypic Data ◽  
Robot Teams ◽  
Aerial Robot

scholarly journals MAKNA TEKS MEUDIKEE ANGGOK DILIHAT DARI KONSEP BILDUNG DAN SENSUS COMMUNIS MENURUT GADAMER DI DAYAH DARUL HUDA DESA BAYI KECAMATAN TANAH LUAS KABUPATEN ACEH UTARA

2019 ◽  
Vol 7 (2) ◽  
pp. 52
Author(s):  
Putri Kusuma ◽  
Dilinar Adlin
Keyword(s):  
Data Collection ◽  
Common Good ◽  
Wide Area ◽  
Literature Study ◽  
Mutual Cooperation ◽  
Public Figures ◽  
Qualitative Descriptive ◽  
Sensus Communis ◽  
Descriptive Method

ABSTRACT This study discusses the meaning of the text meudikee anggok seen from the concept bildung and sensus communis gadamer. Aims to describe the meaning of meudikee anggoktext of wisdom seen from the concept of bildung and sensus communis according to gadamer. Theories used are text theory and hermeneutics. Hermeneutics is a theory used to interpret. Seen from the concept of bildung is the form and sensus communis namely the true feeling and common good in society as the owner of the ritual.  The time of the research was conducted in july until the mont of september 2017. Place of research in infant village, sub district wide area of nort Aceh regency. Population of artists, public figures and children dzikir which amounted to 180. The research sample is a child dzikir 20 people. Leadershipand tengku amounted to 2 people and geuchik baby village so that the sample amounted to 23 people. Data collection techniques include observation, interview, literature study, documentation and then analyzed by qualitative descriptive method. Based on reasearch that has been done meaning meudikee text seen from the concept of bildung and sensus communis. On the concept of bildung in the form of motion, chanting dzikir and clothing. On the sensus communis concept of community agreement the meaning contained in the motion of whether to surrender, plead, salute, appreciate, sincere, passion, agree, protect, tought ad ask. The meaning contained in chanting dzikir is honor, glorify, pray, begged, apologize, sacrifice, struggle, love, loyalty, ask for blessings and hope. The meaning contained in clothing is clean, holy, strength, death, firmness, decency, cover of aurat. Where the text contained in the concept of the sensus communis can be seen from the deliberation in planning the implementation of activities that contain the meaning of cooperation, cohesivenees and respect. People work together to prepare meunasah and food to be brought to the meunasah. As for its meaning is sincare, give each other, mutual cooperation, happy, spirit and joy. Keyword : Meudikee Anggok, Village baby, Bildung, Sensus Communis.

Field Book: use in phenotypic data collection in rose breeding

2019 ◽  
pp. 47-50
Author(s):  
J. Lau ◽  
E.L. Young ◽  
N.A. Anderson ◽  
D.H. Byrne
Keyword(s):  
Data Collection ◽  
Phenotypic Data ◽  
Rose Breeding

scholarly journals MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

2021 ◽  
Author(s):  
Jay Devine ◽  
Marta Vidal-García ◽  
Wei Liu ◽  
Amanda Neves ◽  
Lucas Daniel Lo Vercio ◽  
...  
Keyword(s):  
Data Collection ◽  
Developmental Stages ◽  
Controlled Environment ◽  
Anatomical Landmarks ◽  
Micro Computed Tomography ◽  
Phenotypic Data ◽  
Computed Tomography Images ◽  
Developmental Effects ◽  
Meta Analyses ◽  
Craniofacial Complex

Complex morphological traits are the product of many genes with transient or lasting developmental effects that interact in anatomical context. Mouse models are a key resource for disentangling such effects, because they offer myriad tools for manipulating the genome in a controlled environment. Unfortunately, phenotypic data are often obtained using laboratory-specific protocols, resulting in self-contained datasets that are difficult to relate to one another for larger scale analyses. To enable meta-analyses of morphological variation, particularly in the craniofacial complex and brain, we created MusMorph, a database of standardized mouse morphology data spanning numerous genotypes and developmental stages, including E10.5, E11.5, E14.5, E15.5, E18.5, and adulthood. To standardize data collection, we implemented an atlas-based phenotyping pipeline that combines techniques from image registration, deep learning, and morphometrics. Alongside stage-specific atlases, we provide aligned micro-computed tomography images, dense anatomical landmarks, and segmentations (if available) for each specimen (N=10,056). Our workflow is open-source to encourage transparency and reproducible data collection. The MusMorph data and scripts are available on FaceBase (www.facebase.org, doi.org/10.25550/3-HXMC) and GitHub (https://github.com/jaydevine/MusMorph).

scholarly journals phenopype: a phenotyping pipeline for Python

2021 ◽  
Author(s):  
Moritz D Luerig
Keyword(s):  
Computer Vision ◽  
Data Collection ◽  
High Throughput ◽  
Digital Images ◽  
State Of The Art ◽  
High Dimensional ◽  
Phenotypic Data ◽  
Scientific Image ◽  
Phenotypic Information ◽  
High Throughput Phenotyping

Digital images are a ubiquitous way to represent phenotypes. More and more ecologists and evolutionary biologists are using images to capture and analyze high dimensional phenotypic data to understand complex developmental and evolutionary processes. As a consequence, images are being collected at ever increasing rates, already outpacing our abilities for processing and analysis of the contained phenotypic information. phenopype is a high throughput phenotyping package for the programming language Python to support ecologists and evolutionary biologists in extracting high dimensional phenotypic data from digital images. phenopype integrates existing state-of-the-art computer vision functions (using the OpenCV library as a backend), GUI-based interactions, and a project management ecosystem to facilitate rapid data collection and reproducibility. phenopype offers three different workflow types that support users during different stages of scientific image analysis (prototyping, low-throughput, and high-throughput). In the high-throughput workflow, users interact with human-readable YAML configuration files to effectively modify settings for different images. These settings are stored along with processed images and results, so that the acquired phenotypic information becomes highly reproducible. phenopype combines the advantages of the Python environment, with its state-of-the-art computer vision, array manipulation and data handling libraries, and basic GUI capabilities, which allow users to step into the automatic workflow when necessary. Overall, phenopype is aiming to augment, rather than replace the utility of existing Python CV libraries, allowing biologists to focus on rapid and reproducible data collection.

scholarly journals 238 Linking livestock phenomics and precision livestock farming

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 124-124
Author(s):  
Manuel M Juarez
Keyword(s):  
Data Collection ◽  
Production System ◽  
Management Practices ◽  
Animal Health ◽  
Environmental Influences ◽  
Livestock Farming ◽  
Phenotypic Data ◽  
Novel Technologies ◽  
Precision Livestock Farming ◽  
Use Of Resources

Abstract Numerous pre- and post-mortem factors, such as genotype, production system, growth promotants, diet, health events, stress, slaughter age and weight, carcass chilling, and ageing time, have been shown to impact beef production and final product quality. The objective of livestock phenomics is the systematic acquisition of high dimensional phenotypic data, which requires measuring phenomes as they change in response to genetic mutation and environmental influences. Due to the decrease in costs associated to genomics technology and related fields, researchers had to face the so called “phenomic gap”, a lack of sufficient, appropriate phenotypic data. Selecting phenotypes of interests, standardizing methodologies, developing high-throughput data collection systems, systematically recording environmental factors, and integrating bioinformatics are some of the challenges when developing a livestock phenomics program. Precision livestock farming aims at applying continuous, automated real-time monitoring systems to optimize livestock management. The information collected by these systems can be used to optimize individual animal health and welfare, reproductive traits, and productivity, as well as environmental influences. This approach requires the use of novel technologies and the management of large amounts of data. Multiple technologies and sensors are already being used, or have the potential, to monitor important individual traits. These two interdisciplinary fields share multiple objectives that could lead to significant synergies. The complexity of in-farm data collection varies depending on the species and production system, with beef cattle presenting specific challenges. In addition, data collection needs to continue after slaughter, as carcass and meat quality traits are influenced by in vivo practices, determine the final profitability of the system, and need to be taken into consideration to modify management practices. Integrating livestock phenomics and precision livestock farming approaches will lead to a faster development of both fields and an optimal use of resources.

scholarly journals Phenobook: an open source software for phenotypic data collection

GigaScience ◽  
2017 ◽  
Vol 6 (4) ◽  
Author(s):  
Juan M. Crescente ◽  
Fabio Guidobaldi ◽  
Melina Demichelis ◽  
Maria B. Formica ◽  
Marcelo Helguera ◽  
...  
Keyword(s):  
Data Collection ◽  
Open Source ◽  
Open Source Software ◽  
Phenotypic Data
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