Atlas teaser #17
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This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. The ATLAS project will build a decision support system that includes end-users, allowing them to provide feedback on recommended tasks, report operational data, and describe the actual actions taken.
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This project has received funding from the European Union to develop the ATLAS project. ATLAS aims to enable decentralized and flexible control of food processing by adding food sensors, local data processing, and connectivity to food processing equipment. The goal is to make food factories more agile.
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This project has received funding from the European Union to develop the ATLAS system. ATLAS will virtualize food supply chain management, allowing for remote planning, monitoring, and control of food supply chains as well as new business models. The project is funded under the European Union's Horizon 2020 Research and Innovation Programme grant number 857125.
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This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. ATLAS will advance existing technologies in precision agriculture, sustainable farming and food, food processing/manufacturing, and consumer food awareness. The project focuses on advancing technologies related to precision agriculture, sustainable farming and food production, food processing and manufacturing, and raising consumer awareness about food.
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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 #14
This project has received funding from the European Union's Horizon 2020 Research and Innovation Programme under grant number 857125. ATLAS will advance existing technologies in precision agriculture, sustainable farming and food, food processing/manufacturing, and consumer food awareness. The project focuses on advancing technologies related to precision agriculture, sustainable farming and food production, food processing and manufacturing, and raising consumer awareness about food.
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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.
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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.
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∼
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Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
JAMES WEBB STUDY THE MASSIVE BLACK HOLE SEEDS
The pathway(s) to seeding the massive black holes (MBHs) that exist at the heart of galaxies in the present and distant Universe remains an unsolved problem. Here we categorise, describe and quantitatively discuss the formation pathways of both light and heavy seeds. We emphasise that the most recent computational models suggest that rather than a bimodal-like mass spectrum between light and heavy seeds with light at one end and heavy at the other that instead a continuum exists. Light seeds being more ubiquitous and the heavier seeds becoming less and less abundant due the rarer environmental conditions required for their formation. We therefore examine the different mechanisms that give rise to different seed mass spectrums. We show how and why the mechanisms that produce the heaviest seeds are also among the rarest events in the Universe and are hence extremely unlikely to be the seeds for the vast majority of the MBH population. We quantify, within the limits of the current large uncertainties in the seeding processes, the expected number densities of the seed mass spectrum. We argue that light seeds must be at least 103 to 105 times more numerous than heavy seeds to explain the MBH population as a whole. Based on our current understanding of the seed population this makes heavy seeds (Mseed > 103 M⊙) a significantly more likely pathway given that heavy seeds have an abundance pattern than is close to and likely in excess of 10−4 compared to light seeds. Finally, we examine the current state-of-the-art in numerical calculations and recent observations and plot a path forward for near-future advances in both domains.
_Extraction of Ethylene oxide and 2-Chloroethanol from alternate matrices Li...
How do you know your food is safe?
Last Friday was world World Food Safety Day, facilitated by the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO) in which the slogan rightly says, 'food safety is everyone's business'. Due to this, I thought it would be worth sharing some data that I have worked on in this field!
Working at Markes International has really opened my eyes (and unfortunately my friends and family 🤣) to food safety and quality, especially with my recent application work on ethylene oxide and 2-chloroethanol residues in foodstuffs, as of the biggest global food recalls in history was and is still being implemented by the Rapid alert system for food and feed (RASFF) in 2021, for high levels of these carcinogenic compounds.
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
The binding of cosmological structures by massless topological defects
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...ABHISHEK SONI NIMT INSTITUTE OF MEDICAL AND PARAMEDCIAL SCIENCES , GOVT PG COLLEGE NOIDA
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
快速办理(UAM毕业证书)马德里自治大学毕业证学位证一模一样
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11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
•Physical
•Biological
•Mechanical
•Chemical
Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
Farming systems analysis: what have we learnt?.pptx
Presentation given at the official farewell of Prof Ken Gillet at Wageningen on 13 June 2024
Summary Of transcription and Translation.pdf
Hello Everyone Here We are Sharing You with The process of protien Synthesis in very short points you will be Able to understand It Very well
Alternate Wetting and Drying - Climate Smart Agriculture
Alternate Wetting and Drying - Climate Smart AgricultureInternational Food Policy Research Institute- South Asia Office
PPT on Alternate Wetting and Drying 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. Sexuality - Issues, Attitude and Behaviour - Applied Social Psychology - Psyc...
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...
(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...Scintica Instrumentation
Targeting Hsp90 and its pathogen Orthologs with Tethered Inhibitors as a Diagnostic and Therapeutic Strategy for cancer and infectious diseases with Dr. Timothy Haystead.HUMAN EYE By-R.M Class 10 phy best digital notes.pdf
Class 10 human eye notes physics
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Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...
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Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...
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_Extraction of Ethylene oxide and 2-Chloroethanol from alternate matrices Li...
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MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
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Farming systems analysis: what have we learnt?.pptx
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Atlas teaser #17
- 1. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 857125. Decision Support & Data Exchange ATLAS will build a decision support system that will include the end-user, providing the possibility to give feedback on the recommended task, to provide operational data, and to report the actual actions undertaken.