Atlas teaser #13
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This project has received funding from the European Union to implement data structures that support agricultural planning and management decisions related to environmental impacts, crop selection, field management, supply and demand balancing, and identifying supplementary income sources to complement seasonal farming.
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This project received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. ATLAS uses IoT sensing and connectivity technologies to collect timely and accurate operational data from farms which can then be used to power decision-making tools.
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Atlas teaser #12
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This project received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. ATLAS uses IoT sensing and connectivity technologies to collect timely and accurate operational data from farms which can then be used to power decision-making tools.
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More from ATLAS H2020 Project
Atlas teaser #26
Although being a decentralized network, a centralized ATLAS Service Registry is needed to ensure quality and reliability by implementing service discovery and registration of certified participants. The Service Registry and its governance body ensure any new services conform to standards by meeting quality, safety, and security requirements.
Atlas teaser #25
This document discusses a technology under development that allows different systems to interconnect and exchange data through standardized ATLAS Services offered by participating systems. These services enable a peer-to-peer exchange of data in a documented way without a central component distributing or steering data flows, as a central component would need to handle large amounts of shifting data between systems.
Atlas teaser #24
The ATLAS Interoperability Network addresses challenges from the diverse agricultural sector by considering existing market solutions. The ATLAS system architecture is designed based on various use cases and covers a wide range of agriculture. The network and system architecture aim to enable interoperability across the heterogeneous agricultural industry.
Atlas teaser #23
The ATLAS Interoperability Network aims to enable information exchange between different agricultural systems by developing technical interoperability in a bottom-up manner with input from stakeholders across domains. As the participating systems are independent and built on separate infrastructures, the network will be distributed and non-centralized, connecting existing systems.
Atlas teaser #16
This project has received funding from the European Union to adapt horizontal IoT components to IoT devices that can operate in harsh environments and connect natural objects, wireless communication technologies that can function in remote areas, energy efficient connectivity solutions that can support a wide range of devices and data, and security, privacy and trust solutions for networks with many stakeholders. The project will also develop AI-based analytics that combine object data with third party archives.
Atlas teaser #15
This project received funding from the European Union to develop an irrigation scheduling and management service. The project will combine meteorological data from sensors and stations with hydrological modeling and weather forecasting. This system aims to serve as a decision support system for irrigation.
Atlas teaser #11
This project has received funding from the European Union for research. The document discusses recent market intelligence on precision farming and artificial intelligence in agriculture. Precision farming is expected to reach $12.9 billion by 2027, and artificial intelligence in agriculture was valued at $608.9 million in 2018 and is projected to grow at a rate of 25.4% annually through 2025.
Atlas teaser #10
This document discusses estimates for the commercial drone market and its economic impact. It states that the global commercial drone market in 2020 is estimated to be $6.5 billion, with over half consisting of agricultural drones. By 2025, commercial drone adoption is estimated to have an $80 billion global economic impact, and drones are estimated to have a $30 billion impact on global agriculture. The source of these statistics is Ipsos Business Consulting.
Atlas teaser #9
This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125. A Microsoft report projects that IoT will create $15 trillion of global GDP by 2030. The source for the $15 trillion IoT GDP projection by 2030 is a Microsoft report.
Atlas teaser #8
This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125 to study the impact of IoT. A Microsoft report projects that IoT will create $15 trillion of global GDP by 2030. The source document provided information on funding and an IoT forecast from a Microsoft report.
Atlas teaser #7
This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125 to study the impact of IoT. A Microsoft report projects that IoT will create $15 trillion of global GDP by 2030. The source document provided information on funding and an IoT GDP projection from a Microsoft report.
Atlas teaser #6
ATLAS aims to establish sustainable ecosystems through Innovation Hubs that provide data-driven services. The Innovation Hubs aspire to become central sources of information, meeting points for stakeholders, and coordinators of regional activities and pilots, while also serving as communication channels, candidate databases, and information sources for the ATLAS project.
Atlas teaser #5
This system assists farmers in monitoring livestock by using a Dense Optical Flow algorithm to compute and visualize the activity levels of animals on a graph. The goal is to implement and demonstrate a system that helps livestock farmers monitor their animals by using computer vision techniques to analyze animal behavior and display the results.
Atlas teaser #4
The ATLAS services API specification is provided through "Service Templates" that describe related agricultural or technical functions. The service templates are specified using OpenAPI and provide information on mandatory and optional endpoints, expected input parameters, and response schemas. The specification aims to enable interoperability.
Atlas teaser #3
ATLAS will design a multi-sensor box that can be coupled to farm vehicles to measure soil moisture, chlorophyll content, and plant drought stress using spectral cameras. This sensor data and a "digital twin" field model can be combined to estimate crop yield volumes.
More from ATLAS H2020 Project (20)
Recently uploaded
Equivariant neural networks and representation theory
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...Advanced-Concepts-Team
Presentation in the Science Coffee of the Advanced Concepts Team of the European Space Agency on the 07.06.2024.
Speaker: Diego Blas (IFAE/ICREA)
Title: Gravitational wave detection with orbital motion of Moon and artificial
Abstract:
In this talk I will describe some recent ideas to find gravitational waves from supermassive black holes or of primordial origin by studying their secular effect on the orbital motion of the Moon or satellites that are laser ranged.waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
The cost of acquiring information by natural selection
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
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Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
Pests of Storage_Identification_Dr.UPR.pdf
InIndia-post-harvestlosses-unscientificstorage,insects,rodents,micro-organismsetc.,accountforabout10percentoftotalfoodgrains
Graininfestation
Directdamage
Indirectly
•theexuviae,skin,deadinsects
•theirexcretawhichmakefoodunfitforhumanconsumption
About600speciesofinsectshavebeenassociatedwithstoredgrainproducts
100speciesofinsectpestsofstoredproductscauseeconomiclosses
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
Bob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Direct Seeded Rice - Climate Smart Agriculture
Direct Seeded Rice - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
ESR spectroscopy in liquid food and beverages.pptx
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Recently uploaded (20)
Equivariant neural networks and representation theory
Equivariant neural networks and representation theory
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
ESA/ACT Science Coffee: Diego Blas - Gravitational wave detection with orbita...
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
waterlessdyeingtechnolgyusing carbon dioxide chemicalspdf
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
The cost of acquiring information by natural selection
The cost of acquiring information by natural selection
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...
Compexometric titration/Chelatorphy titration/chelating titration
Compexometric titration/Chelatorphy titration/chelating titration
ESR spectroscopy in liquid food and beverages.pptx
ESR spectroscopy in liquid food and beverages.pptx
Atlas teaser #13
- 1. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125. The ATLAS focus… ATLAS will implement data interoperability structures that support planning and management decisions related to: ↦ Environmental impact of agricultural activities. ↦ Selection of agricultural crops, species for optimal utilization of land-resources. ↦ Data driven field-management. ↦ Regional supply-demand harmonization. ↦ Identification of supplementary sources of income to compliment seasonal agricultural activity.