AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...Andreas Kamilaris
Intensive farming has been linked to excessive accumulation of heavy metals and other contaminants on soil, and to significant groundwater pollution with nitrates. Hence, it is necessary to develop a common body of knowledge, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment. In this presentation, we describe AgriBigCAT, an online software platform that uses geophysical information from various diverse sources, employing geospatial and big data analysis, together with web technologies, in order to estimate the impact of the agricultural sector on the environment. It considers land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. This platform can assist both the farmers' decision-taking processes and the administration planning and policy-making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact. An online application of AgriBigCAT, focusing on the local environmental issues of the agricultural sector of Catalonia, is presented and described, together with some preliminary analysis findings. This presentation has been prepared for the EFITA 2017 Congress in Montpellier.
Estimating the Environmental Impact of Agriculture by means of Geospatial and...Andreas Kamilaris
This document discusses using geospatial and big data analysis to estimate the environmental impact of agriculture in Catalonia. The methodology involves collecting datasets from agricultural sensors and weather monitoring, developing a database to store the data, using the datasets as layers in a geospatial analysis tool, and applying big data analysis to estimate impacts and find solutions. The results are presented through an online policy tool that allows visualizing data on farms, emissions calculations, and GIS maps showing analysis of areas like animal concentration and methane emissions. The tool aims to help policymakers make decisions on issues like manure management. Future work will focus on nitrate management and siting manure plants.
Big data analysis and Integration of Geophysical information from the Catalan...Andreas Kamilaris
The intensification of agriculture in Catalunya creates serious concerns over its impact on the physical environment, in terms of deteriorating the air, soils as well as rivers and lakes. It is particularly important to quantify and understand this impact, in order to perceive overall implications and to develop effective strategies to mitigate its effects. In this presentation, I describe our efforts in combining geospatial information and big data analysis in order to measure the environmental impact of agriculture, with a focus on animal manure. The problems and issues of discovering, locating and understanding relevant datasets are discussed, together with suggestions on how data could become more open and easier to reach and understand.
This document summarizes a study on the sustainability of global pig production systems from 1970 to 2050. It describes three main pig production systems (backyard, intermediate, intensive), and models their development over time using the IMAGE 3.1 model. The model considers parameters like production levels, carcass weights, growth rates, litter sizes, rations, and excretion of nitrogen and phosphorus. It then uses Shared Socioeconomic Pathways scenarios to model different pathways for pig production out to 2050, varying parameters like ration compositions and productivity. The goals are to understand past trends, calibrate the model, and explore scenarios for future sustainability of global pig production systems.
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
Data Intelligence and Governance: Earth Observation, Open Data, and Machine L...Leo Kris Palao
Integrated modelling combining earth observation/remote sensing, species distribution modelling, and machine learning. A good case of using open data to aid natural resources management and governance.
This document discusses a project to integrate agricultural information systems into an early warning system for climate change adaptation and mitigation in Uganda. The objectives are to strengthen NARO's capacity to develop adaptation and mitigation interventions, develop policy recommendations, and build local climate risk management capacity. Activities include evaluating the "aWhere" agroclimatic information system for short-term weather and pest forecasting and integrating existing agricultural data into an early warning system. Deliverables will include a climate database, an interactive online system, and evaluation reports. Expected outcomes are forecasts of climate variability trends, impacts on agriculture, and recommendations for research, policy, and decision making.
AgriBigCAT: An Online Platform for Estimating the Impact of Livestock Agricul...Andreas Kamilaris
Intensive farming has been linked to excessive accumulation of heavy metals and other contaminants on soil, and to significant groundwater pollution with nitrates. Hence, it is necessary to develop a common body of knowledge, so as to allow an effective monitoring of cropping systems, fertilization and water demands, and impacts of climate change, with a focus on the sustainability and the protection of the physical environment. In this presentation, we describe AgriBigCAT, an online software platform that uses geophysical information from various diverse sources, employing geospatial and big data analysis, together with web technologies, in order to estimate the impact of the agricultural sector on the environment. It considers land, water, biodiversity and natural areas requiring protection, such as forests and wetlands. This platform can assist both the farmers' decision-taking processes and the administration planning and policy-making, with the ultimate objective of meeting the challenge of increasing food production at a lower environmental impact. An online application of AgriBigCAT, focusing on the local environmental issues of the agricultural sector of Catalonia, is presented and described, together with some preliminary analysis findings. This presentation has been prepared for the EFITA 2017 Congress in Montpellier.
Estimating the Environmental Impact of Agriculture by means of Geospatial and...Andreas Kamilaris
This document discusses using geospatial and big data analysis to estimate the environmental impact of agriculture in Catalonia. The methodology involves collecting datasets from agricultural sensors and weather monitoring, developing a database to store the data, using the datasets as layers in a geospatial analysis tool, and applying big data analysis to estimate impacts and find solutions. The results are presented through an online policy tool that allows visualizing data on farms, emissions calculations, and GIS maps showing analysis of areas like animal concentration and methane emissions. The tool aims to help policymakers make decisions on issues like manure management. Future work will focus on nitrate management and siting manure plants.
Big data analysis and Integration of Geophysical information from the Catalan...Andreas Kamilaris
The intensification of agriculture in Catalunya creates serious concerns over its impact on the physical environment, in terms of deteriorating the air, soils as well as rivers and lakes. It is particularly important to quantify and understand this impact, in order to perceive overall implications and to develop effective strategies to mitigate its effects. In this presentation, I describe our efforts in combining geospatial information and big data analysis in order to measure the environmental impact of agriculture, with a focus on animal manure. The problems and issues of discovering, locating and understanding relevant datasets are discussed, together with suggestions on how data could become more open and easier to reach and understand.
This document summarizes a study on the sustainability of global pig production systems from 1970 to 2050. It describes three main pig production systems (backyard, intermediate, intensive), and models their development over time using the IMAGE 3.1 model. The model considers parameters like production levels, carcass weights, growth rates, litter sizes, rations, and excretion of nitrogen and phosphorus. It then uses Shared Socioeconomic Pathways scenarios to model different pathways for pig production out to 2050, varying parameters like ration compositions and productivity. The goals are to understand past trends, calibrate the model, and explore scenarios for future sustainability of global pig production systems.
Presentation at workshop: Reducing the costs of GHG estimates in agriculture to inform low emissions development
November 10-12, 2014
Sponsored by the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) and the Food and Agriculture Organization of the United Nations (FAO)
Data Intelligence and Governance: Earth Observation, Open Data, and Machine L...Leo Kris Palao
Integrated modelling combining earth observation/remote sensing, species distribution modelling, and machine learning. A good case of using open data to aid natural resources management and governance.
This document discusses a project to integrate agricultural information systems into an early warning system for climate change adaptation and mitigation in Uganda. The objectives are to strengthen NARO's capacity to develop adaptation and mitigation interventions, develop policy recommendations, and build local climate risk management capacity. Activities include evaluating the "aWhere" agroclimatic information system for short-term weather and pest forecasting and integrating existing agricultural data into an early warning system. Deliverables will include a climate database, an interactive online system, and evaluation reports. Expected outcomes are forecasts of climate variability trends, impacts on agriculture, and recommendations for research, policy, and decision making.
This document provides an overview of integrated crop-livestock-forest systems and soil organic matter dynamics research in Brazil. It discusses:
1) The Brazilian Agricultural Research Corporation (Embrapa) and its research on low-carbon agriculture practices like no-till farming and integrated crop-livestock-forest systems.
2) Embrapa's research networks studying greenhouse gas emissions and carbon sequestration in grains, pastureland, and forest systems.
3) Preliminary results on soil organic matter dynamics in integrated crop-livestock-forest experimental fields using spectroscopic and laser-based techniques.
Presented by Hassan Ally Mruttu, Conrad Joseph Ndomba and Salim Werner Nandonde at the Tanzania Livestock Master Plan Technical Committee Meeting, Dar es Salaam, 23 June 2016
International yield data matched with weather data can help refine climate change impact estimates and develop climate-adaptive technologies in four ways: 1) identify factors associated with reductions in productivity like temperature thresholds and vulnerable crop stages; 2) pinpoint 'analog' sites to test new technologies; 3) integrate diverse datasets to improve crop and economic models; and 4) deploy climate-ready technologies. This data can also help identify environments where crop management interventions may complement genetic strategies and target the most appropriate interventions. Simulation and modeling can then prioritize adaptation strategies like breeding objectives and genetic resource collection based on climate change rates and vulnerabilities.
OSFair2017 Workshop overview | The roadmap to better food using ICT and open ...Open Science Fair
Workshop title: The roadmap to better food: using ICT an open data to overcome barriers in the agriculture value chain
Workshop overview:
The session will discuss infrastructures for open science in the agri-food domain. It will also discuss the issue and the importance of open data for agricultural and agri-food communities and science.
When: DAY 1 - PARALLEL SESSION 1
This document summarizes a study that sought to improve biomass assessments of agricultural prunings in Europe by finding correlations between residue to surface ratios (RSR) and various climatic and agricultural factors. The study compiled a database of 230 records from surveys and literature across 7 European countries. It analyzed the records' over 20 climatic and agricultural parameters and found small correlations except for some agro-climatic variables. Regression analysis was applied to vineyards and citrus, and ramp functions were developed to estimate RSR for different crop groups based on climatic GIS data. This estimated over 13 million tons per year of dry biomass potential from agricultural prunings across EU28 states.
Sustainable intensification indicator framework for Africa RISINGafrica-rising
Presented by Philip Grabowski (Michigan State University), Mark Musumba (Columbia University), Cheryl Palm (University of Florida) and Sieg Snapp (Michigan State University) at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
Modelling approaches to address crop-residue tradeoffs in mixed crop-livestoc...ILRI
Presentation by Mark T. van Wijk, Mariana C. Rufino and Lieven Claessens (WUR) to the:CGIAR Systemwide Livestock Programme Livestock Policy Group meeting, 1 December 2009
Interlinking two institutional KOS about Agroecology: using LOD Agrovoc to ci...pascal aventurier
Poster presented to DublinCore 2015 Conference
Authors : Sophie Aubin, Pascal Aventurier, Ivo Júnior Pierozzi, Leandro Henrique Mendonça Oliveira
link ro PRODINRA: http://prodinra.inra.fr/record/319898
reference :
Aubin, S., Aventurier, P., Pierozzi, I. J., Mendonça Oliveira, L. H. (2015). Interlinking two institutional KOS about Agroecology: using LOD Agrovoc to circumvent the language barrier in identifying terminological intersections. Presented at DC2015 International Conference on Dublin Core and Metadata Applications, São Paulo, BRA (2015-09-01 - 2015-09-04). http://prodinra.inra.fr/record/319898
Update on Egyptian aquaculture value chain developmentILRI
Presented by Malcolm Dickson (WorldFish Center) at the CGIAR Research Program on Livestock and Fish Value Chain Development Team Meeting, Nairobi, 5-8 March 2012
Technological options and approaches to improve supply of desirable animal ge...ILRI
Presented by Azage Tegegne and Dirk Hoekstra at the 19th Ethiopian Society of Animal production Annual Conference, Addis Ababa, Ethiopia, 15-17 December 2011.
Abbreviations are commonly used in the medical field to save time. Some abbreviations have approved standardized meanings, while others can have multiple meanings, so it is important to be familiar with a facility's approved list. This document defines common medical abbreviations such as PE tube (pressure equalizing tube inserted in eardrum), EENT (eyes, ears, nose, throat exam), BC (bone conduction of sound), AU (both ears), OM (otitis media or ear infection), EM (emmetropia or perfect vision), XT (exotropia or outward eye deviation), OS (left eye), EOM (extra-ocular movement eye exam), and VA (visual acuity exam). Knowing standardized medical abbrev
More milk by and for the poor: Adapting dairy market Hubs for pro-poor small...ILRI
This document discusses a project to help smallholder dairy farmers in Tanzania by adapting dairy market hubs. The project will assess the current dairy sector, identify ways to promote pro-poor development, and pilot interventions over 5 years. During the first inception year, the project will assess the sector, develop a strategy to strengthen policies supporting smallholders, and identify sites to pilot best practices adapted to Tanzania. The goal is to make the dairy sector more inclusive of the rural poor through market access and organizational options.
Value Chain Analysis - Experience from EADD and Ideas for MilkIT ILRI
The document discusses experiences from feed intervention value chain analyses conducted by EADD and provides ideas for similar analyses to be done under MILKIT. It outlines the broad objectives, process, lessons learned, and ideas for MILKIT, including identifying key feed value chains, conducting in-depth studies of each chain combined with actor mapping, and blending qualitative and quantitative analyses.
Using agroecology to measure sustainability in agriculture TAPE – the Tool fo...Francois Stepman
Presentation by Anne Mottet - FAO Livestock Development Officer, Animal Production and Health Division - "Using agroecology to measure sustainability in agriculture TAPE – the Tool for Agroecology Performance Evaluation"
02/07 WEBINAR: The effects of agroecology. Why are metrics needed?
This document provides an overview of integrated crop-livestock-forest systems and soil organic matter dynamics research in Brazil. It discusses:
1) The Brazilian Agricultural Research Corporation (Embrapa) and its research on low-carbon agriculture practices like no-till farming and integrated crop-livestock-forest systems.
2) Embrapa's research networks studying greenhouse gas emissions and carbon sequestration in grains, pastureland, and forest systems.
3) Preliminary results on soil organic matter dynamics in integrated crop-livestock-forest experimental fields using spectroscopic and laser-based techniques.
Presented by Hassan Ally Mruttu, Conrad Joseph Ndomba and Salim Werner Nandonde at the Tanzania Livestock Master Plan Technical Committee Meeting, Dar es Salaam, 23 June 2016
International yield data matched with weather data can help refine climate change impact estimates and develop climate-adaptive technologies in four ways: 1) identify factors associated with reductions in productivity like temperature thresholds and vulnerable crop stages; 2) pinpoint 'analog' sites to test new technologies; 3) integrate diverse datasets to improve crop and economic models; and 4) deploy climate-ready technologies. This data can also help identify environments where crop management interventions may complement genetic strategies and target the most appropriate interventions. Simulation and modeling can then prioritize adaptation strategies like breeding objectives and genetic resource collection based on climate change rates and vulnerabilities.
OSFair2017 Workshop overview | The roadmap to better food using ICT and open ...Open Science Fair
Workshop title: The roadmap to better food: using ICT an open data to overcome barriers in the agriculture value chain
Workshop overview:
The session will discuss infrastructures for open science in the agri-food domain. It will also discuss the issue and the importance of open data for agricultural and agri-food communities and science.
When: DAY 1 - PARALLEL SESSION 1
This document summarizes a study that sought to improve biomass assessments of agricultural prunings in Europe by finding correlations between residue to surface ratios (RSR) and various climatic and agricultural factors. The study compiled a database of 230 records from surveys and literature across 7 European countries. It analyzed the records' over 20 climatic and agricultural parameters and found small correlations except for some agro-climatic variables. Regression analysis was applied to vineyards and citrus, and ramp functions were developed to estimate RSR for different crop groups based on climatic GIS data. This estimated over 13 million tons per year of dry biomass potential from agricultural prunings across EU28 states.
Sustainable intensification indicator framework for Africa RISINGafrica-rising
Presented by Philip Grabowski (Michigan State University), Mark Musumba (Columbia University), Cheryl Palm (University of Florida) and Sieg Snapp (Michigan State University) at the Africa RISING East and Southern Africa Phase II Planning Meeting, Lilongwe, Malawi, 5-8 October 2016
Modelling approaches to address crop-residue tradeoffs in mixed crop-livestoc...ILRI
Presentation by Mark T. van Wijk, Mariana C. Rufino and Lieven Claessens (WUR) to the:CGIAR Systemwide Livestock Programme Livestock Policy Group meeting, 1 December 2009
Interlinking two institutional KOS about Agroecology: using LOD Agrovoc to ci...pascal aventurier
Poster presented to DublinCore 2015 Conference
Authors : Sophie Aubin, Pascal Aventurier, Ivo Júnior Pierozzi, Leandro Henrique Mendonça Oliveira
link ro PRODINRA: http://prodinra.inra.fr/record/319898
reference :
Aubin, S., Aventurier, P., Pierozzi, I. J., Mendonça Oliveira, L. H. (2015). Interlinking two institutional KOS about Agroecology: using LOD Agrovoc to circumvent the language barrier in identifying terminological intersections. Presented at DC2015 International Conference on Dublin Core and Metadata Applications, São Paulo, BRA (2015-09-01 - 2015-09-04). http://prodinra.inra.fr/record/319898
Update on Egyptian aquaculture value chain developmentILRI
Presented by Malcolm Dickson (WorldFish Center) at the CGIAR Research Program on Livestock and Fish Value Chain Development Team Meeting, Nairobi, 5-8 March 2012
Technological options and approaches to improve supply of desirable animal ge...ILRI
Presented by Azage Tegegne and Dirk Hoekstra at the 19th Ethiopian Society of Animal production Annual Conference, Addis Ababa, Ethiopia, 15-17 December 2011.
Abbreviations are commonly used in the medical field to save time. Some abbreviations have approved standardized meanings, while others can have multiple meanings, so it is important to be familiar with a facility's approved list. This document defines common medical abbreviations such as PE tube (pressure equalizing tube inserted in eardrum), EENT (eyes, ears, nose, throat exam), BC (bone conduction of sound), AU (both ears), OM (otitis media or ear infection), EM (emmetropia or perfect vision), XT (exotropia or outward eye deviation), OS (left eye), EOM (extra-ocular movement eye exam), and VA (visual acuity exam). Knowing standardized medical abbrev
More milk by and for the poor: Adapting dairy market Hubs for pro-poor small...ILRI
This document discusses a project to help smallholder dairy farmers in Tanzania by adapting dairy market hubs. The project will assess the current dairy sector, identify ways to promote pro-poor development, and pilot interventions over 5 years. During the first inception year, the project will assess the sector, develop a strategy to strengthen policies supporting smallholders, and identify sites to pilot best practices adapted to Tanzania. The goal is to make the dairy sector more inclusive of the rural poor through market access and organizational options.
Value Chain Analysis - Experience from EADD and Ideas for MilkIT ILRI
The document discusses experiences from feed intervention value chain analyses conducted by EADD and provides ideas for similar analyses to be done under MILKIT. It outlines the broad objectives, process, lessons learned, and ideas for MILKIT, including identifying key feed value chains, conducting in-depth studies of each chain combined with actor mapping, and blending qualitative and quantitative analyses.
Using agroecology to measure sustainability in agriculture TAPE – the Tool fo...Francois Stepman
Presentation by Anne Mottet - FAO Livestock Development Officer, Animal Production and Health Division - "Using agroecology to measure sustainability in agriculture TAPE – the Tool for Agroecology Performance Evaluation"
02/07 WEBINAR: The effects of agroecology. Why are metrics needed?
2016 International Conference on Pulses – Concluding remarksCGIAR
This document summarizes key points from presentations at the 2016 International Conference on Pulses. Over 300 participants from 36 countries attended. Presentations covered topics like pulses genomics, genetic resources conservation, breeding innovations, and opportunities to enhance pulses production. It discussed the shift in CGIAR's research programs from commodity-focused to agri-food systems approaches. The concluding remarks emphasized the need for more integrated, collaborative research to address complex challenges through social, institutional and technological innovations.
International Conference on Pulses 2016 Concluding RemarksICARDA
This document summarizes key points from presentations at the 2016 International Conference on Pulses. It discusses the transition from commodity-focused CRPs to agri-food systems CRPs, and the importance of taking multi-disciplinary, collaborative approaches. The Dryland Cereals and Legumes CRP was presented as an example, focusing on pre-breeding, trait discovery, variety development, and improving seed systems. Developing sustainable intensification and addressing challenges through 2050 will require innovative solutions and integrating social and technological innovations.
Enhancing livelihoods of poor livestock keepers through increasing use of fod...ILRI
Presentation to the FAP End of Project Workshop, Luang Prabang, Laos, 15-19 November 2010.
Dr. Nguyen Ngoc Anh, Dr. Nguyen Thi Mui (NIAS)
Ms. Vo Thi Thin, Mr. Hoang Dinh Hieu (Ky Anh, Ha Tinh); Dr. Truong Tan Khanh, Mr. Van Tien Dung (Tay Nguyen University); Mr. Nguyen Van Ha, Mr. Hoang Van Nhien (Ea Kar, Daklak); Dr. Tassilo Tiemann (CIAT); Dr. Werner Stür (Consultant, former CIAT)
The document summarizes the objectives, theory of change, and activities of the Animal Genetic flagship of the CGIAR Research Program on Livestock. The flagship aims to (1) identify and promote appropriate livestock breeds, (2) develop improved breeds using new technologies, and (3) develop effective delivery systems through partnerships. It outlines 4 clusters of activities: assessment of genetic resources, development of improved breeds, continuous genetic improvement and delivery systems, and policy support. Details are provided on the activities, outcomes, outputs, locations and budgets of each cluster for 2017. The document also discusses cross-cutting issues, flagship investments, and comparisons to other flagships' budgets.
Trans-SEC outline, research framework and activitiesFrancois Stepman
This document outlines the framework and activities for the Trans-SEC research project in Tanzania. The project will:
1) Study food value chains in two regions of Tanzania representing different climates and socioeconomic conditions, through stakeholder workshops and surveys across 4 case study sites.
2) Identify and analyze the most promising strategies for upgrading these food value chains, such as improved production, processing, markets, and consumption. Strategies will be tested and their impacts assessed.
3) Embed the research within a modeling framework to understand risks and impacts under different scenarios. Results will be disseminated to stakeholders and policymakers to connect findings to development programs.
The document outlines 7 initial proposed Megaprograms (MPs) that will guide research under the new CGIAR Consortium model. The MPs include: 1) Integrated agriculture systems for the poor, 2) Policies and markets for enabling agricultural incomes, 3) Sustainable increases in staple crop productivity, 4) Agriculture, nutrition and health, 5) Water scarcity and land degradation, 6) Forests and trees, and 7) Climate change. The bulk of livestock research is expected to be contained within MP3 on livestock and fish, but MP4 on health and nutrition and other MPs may also include some livestock components. A Consortium Board and CEO will oversee research, and performance will be measured through contracts between
Systems Analysis for Sustainable Innovation (SASI): A new flagship in the Li...ILRI
Presented by An Notenbaert (CIAT) at the Livestock and Fish Expert Workshop on Systems Analysis for Value Chain Transformation, Amsterdam, 19 November 2014
This document summarizes the activities and intended outcomes of multiple projects related to sustainable intensification and resilience in rural livelihoods. It outlines identification of household assets and production systems, development of typologies, and testing of crop, livestock and tree technologies. It also discusses improving market access, integrating service delivery, enhancing management of land and water resources, ensuring food security, and reforming policies to incentivize sustainable practices and intensification. The overall goals are to increase incomes, improve resilience, and better manage resources and institutions to support rural communities.
Livestock production systems in Zimbabwe: Project overviewILRI
Presented by Sikhalazo Dube at the Livestock production systems in Zimbabwe (LIPS-Zim) project virtual inception workshop, ILRI, Nairobi, 4-19 May 2020
Biological emergencies surveillance, early warning and rapid response systems...ILRI
This document discusses biological emergencies surveillance, early warning and rapid response systems in East Africa. It covers catastrophic biological risks, surveillance frameworks in the region, genomic data production capabilities at ILRI, and bio-risk assessment. Early warning systems in East Africa have some capabilities but many countries lack capacity to deal with biological threats on their own. Perspectives for the region include coordinated, integrated surveillance and response efforts that are instructional and prioritize humanity. Planning should be based on known risks and focus on timely information sharing and early actions across borders.
The African Cassava Agronomy Initiative (ACAI) aims to develop knowledge and tools to improve cassava farming and deliver these resources to farmers in target countries. The project has 6 work streams: research, developing a geospatial database, creating decision support tools, facilitating tool use, building capacity, and management. In year 1, ACAI made progress establishing over 300 trials on fertilizer response, intercropping, and other topics. Four national scientists were sponsored for PhD training. Baseline surveys and databases were also initiated to support the project.
The document discusses Dryland Systems staffing and research methods testing at ICRISAT in West Africa. It outlines that the Dryland Systems team is composed of 9+ scientists from ICRISAT and partner institutions covering two action transects. It also describes testing of methods for biomass assessments, household surveys, and options for intensification pathways that were conducted in 2012 to establish baselines and protocols for the Dryland Systems research.
BioVeL (Biodiversity Virtual e-Laboratory) is an e-laboratory that supports research on biodiversity using large amounts of data from cross-disciplinary sources.
Deep learning-based classification of cattle behavior using accelerometer sen...IAESIJAI
The increasing demand for food has led to the adoption of precision livestock, which relies on information and communication technology to promote the best practices in meat production. By automating various aspects of the industry, precision livestock allows for increased productivity, more effective management strategies, and decision-making. The paper proposes a methodology that uses deep learning techniques to automatically classify cattle behavior using accelerometer sensors embedded in collars. The work aims to enhance the efficiency and productivity of the industry by improving the classification of cattle behaviors, which is essential for farmers and barn managers to make informed decisions. We tested three different classification techniques to classify rumination, movement, resting, feeding, salting and other cattle behaviors and we achieved promising results that can contribute to a better understanding and management of cattle behavior in the livestock industry.
Presentation by Philippe Ellul, Senior Science Officer, Consortium/System Office on the monitoring, evaluation, and impact assessment framework in CGIAR and the role of monitoring and reporting
Module 4B - EN - Promoting data use II: use in key scientific and policy areasAlberto González-Talaván
The document discusses three key cases: invasive alien species including building an official list for Mexico; conservation planning including examples from Mexico of using species occurrence data and software to identify priority sites; and climate change impacts and adaptation. It also discusses using data on invasive species, conservation planning, and climate impacts in key scientific and policy areas.
Similar to Update on systems analysis and targeting component 3.1 (20)
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Presentation by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 28–30 November 2023.
Small ruminant keepers’ knowledge, attitudes and practices towards peste des ...ILRI
Poster by Guy Ilboudo, Abel Sènabgè Biguezoton, Cheick Abou Kounta Sidibé, Modou Moustapha Lo, Zoë Campbell and Michel Dione presented at the 6th Peste des Petits Ruminants Global Research and Expertise Networks (PPR-GREN) annual meeting, Bengaluru, India, 29 November 2023.
A training, certification and marketing scheme for informal dairy vendors in ...ILRI
Presentation by Silvia Alonso, Jef L. Leroy, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas and Delia Grace at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Milk safety and child nutrition impacts of the MoreMilk training, certificati...ILRI
Poster by Silvia Alonso, Emmanuel Muunda, Moira Donahue Angel, Emily Kilonzi, Giordano Palloni, Gideon Kiarie, Paula Dominguez-Salas, Delia Grace and Jef L. Leroy presented at the Micronutrient Forum 6th Global Conference, The Hague, Netherlands, 16 October 2023.
Preventing the next pandemic: a 12-slide primer on emerging zoonotic diseasesILRI
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help boost feelings of calmness, happiness and focus.
Preventing preventable diseases: a 12-slide primer on foodborne diseaseILRI
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Preventing a post-antibiotic era: a 12-slide primer on antimicrobial resistanceILRI
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help enhance one's emotional well-being and mental clarity.
Food safety research in low- and middle-income countriesILRI
Presentation by Hung Nguyen-Viet at the first technical meeting to launch the Food Safety Working Group under the One Health Partnership framework, Hanoi, Vietnam, 28 September 2023
The Food Safety Working Group (FSWG) in Vietnam was created in 2015 at the request of the Deputy Prime Minister to address food safety issues in the country. It brings together government agencies, ministries, and development partners to facilitate joint policy dialogue and improve food safety. Over eight years of operations led by different organizations, the FSWG has contributed to various initiatives. However, it faces challenges of diminished government participation over time and dependence on active members. Going forward, it will strengthen its operations by integrating under Vietnam's One Health Partnership framework to better engage stakeholders and achieve policy impacts.
Reservoirs of pathogenic Leptospira species in UgandaILRI
Presentation by Lordrick Alinaitwe, Martin Wainaina, Salome Dürr, Clovice Kankya, Velma Kivali, James Bugeza, Martin Richter, Kristina Roesel, Annie Cook and Anne Mayer-Scholl at the University of Bern Graduate School for Cellular and Biomedical Sciences Symposium, Bern, Switzerland, 29 June 2023.
Assessing meat microbiological safety and associated handling practices in bu...ILRI
Presentation by Patricia Koech, Winnie Ogutu, Linnet Ochieng, Delia Grace, George Gitao, Lily Bebora, Max Korir, Florence Mutua and Arshnee Moodley at the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Ecological factors associated with abundance and distribution of mosquito vec...ILRI
Poster by Max Korir, Joel Lutomiah and Bernard Bett presented the 8th All Africa Conference on Animal Agriculture, Gaborone, Botswana, 26–29 September 2023.
Practices and drivers of antibiotic use in Kenyan smallholder dairy farmsILRI
Poster by Lydiah Kisoo, Dishon M. Muloi, Walter Oguta, Daisy Ronoh, Lynn Kirwa, James Akoko, Eric Fèvre, Arshnee Moodley and Lillian Wambua presented at Tropentag 2023, Berlin, Germany, 20–22 September 2023.
"$10 thousand per minute of downtime: architecture, queues, streaming and fin...Fwdays
Direct losses from downtime in 1 minute = $5-$10 thousand dollars. Reputation is priceless.
As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Northern Engraving | Nameplate Manufacturing Process - 2024Northern Engraving
Manufacturing custom quality metal nameplates and badges involves several standard operations. Processes include sheet prep, lithography, screening, coating, punch press and inspection. All decoration is completed in the flat sheet with adhesive and tooling operations following. The possibilities for creating unique durable nameplates are endless. How will you create your brand identity? We can help!
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation F...AlexanderRichford
QR Secure: A Hybrid Approach Using Machine Learning and Security Validation Functions to Prevent Interaction with Malicious QR Codes.
Aim of the Study: The goal of this research was to develop a robust hybrid approach for identifying malicious and insecure URLs derived from QR codes, ensuring safe interactions.
This is achieved through:
Machine Learning Model: Predicts the likelihood of a URL being malicious.
Security Validation Functions: Ensures the derived URL has a valid certificate and proper URL format.
This innovative blend of technology aims to enhance cybersecurity measures and protect users from potential threats hidden within QR codes 🖥 🔒
This study was my first introduction to using ML which has shown me the immense potential of ML in creating more secure digital environments!
This talk will cover ScyllaDB Architecture from the cluster-level view and zoom in on data distribution and internal node architecture. In the process, we will learn the secret sauce used to get ScyllaDB's high availability and superior performance. We will also touch on the upcoming changes to ScyllaDB architecture, moving to strongly consistent metadata and tablets.
Lee Barnes - Path to Becoming an Effective Test Automation Engineer.pdfleebarnesutopia
So… you want to become a Test Automation Engineer (or hire and develop one)? While there’s quite a bit of information available about important technical and tool skills to master, there’s not enough discussion around the path to becoming an effective Test Automation Engineer that knows how to add VALUE. In my experience this had led to a proliferation of engineers who are proficient with tools and building frameworks but have skill and knowledge gaps, especially in software testing, that reduce the value they deliver with test automation.
In this talk, Lee will share his lessons learned from over 30 years of working with, and mentoring, hundreds of Test Automation Engineers. Whether you’re looking to get started in test automation or just want to improve your trade, this talk will give you a solid foundation and roadmap for ensuring your test automation efforts continuously add value. This talk is equally valuable for both aspiring Test Automation Engineers and those managing them! All attendees will take away a set of key foundational knowledge and a high-level learning path for leveling up test automation skills and ensuring they add value to their organizations.
LF Energy Webinar: Carbon Data Specifications: Mechanisms to Improve Data Acc...DanBrown980551
This LF Energy webinar took place June 20, 2024. It featured:
-Alex Thornton, LF Energy
-Hallie Cramer, Google
-Daniel Roesler, UtilityAPI
-Henry Richardson, WattTime
In response to the urgency and scale required to effectively address climate change, open source solutions offer significant potential for driving innovation and progress. Currently, there is a growing demand for standardization and interoperability in energy data and modeling. Open source standards and specifications within the energy sector can also alleviate challenges associated with data fragmentation, transparency, and accessibility. At the same time, it is crucial to consider privacy and security concerns throughout the development of open source platforms.
This webinar will delve into the motivations behind establishing LF Energy’s Carbon Data Specification Consortium. It will provide an overview of the draft specifications and the ongoing progress made by the respective working groups.
Three primary specifications will be discussed:
-Discovery and client registration, emphasizing transparent processes and secure and private access
-Customer data, centering around customer tariffs, bills, energy usage, and full consumption disclosure
-Power systems data, focusing on grid data, inclusive of transmission and distribution networks, generation, intergrid power flows, and market settlement data
AI in the Workplace Reskilling, Upskilling, and Future Work.pptxSunil Jagani
Discover how AI is transforming the workplace and learn strategies for reskilling and upskilling employees to stay ahead. This comprehensive guide covers the impact of AI on jobs, essential skills for the future, and successful case studies from industry leaders. Embrace AI-driven changes, foster continuous learning, and build a future-ready workforce.
Read More - https://bit.ly/3VKly70
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
QA or the Highway - Component Testing: Bridging the gap between frontend appl...zjhamm304
These are the slides for the presentation, "Component Testing: Bridging the gap between frontend applications" that was presented at QA or the Highway 2024 in Columbus, OH by Zachary Hamm.
"What does it really mean for your system to be available, or how to define w...Fwdays
We will talk about system monitoring from a few different angles. We will start by covering the basics, then discuss SLOs, how to define them, and why understanding the business well is crucial for success in this exercise.
In our second session, we shall learn all about the main features and fundamentals of UiPath Studio that enable us to use the building blocks for any automation project.
📕 Detailed agenda:
Variables and Datatypes
Workflow Layouts
Arguments
Control Flows and Loops
Conditional Statements
💻 Extra training through UiPath Academy:
Variables, Constants, and Arguments in Studio
Control Flow in Studio
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
Session 1 - Intro to Robotic Process Automation.pdf
Update on systems analysis and targeting component 3.1
1. Update on systems analysis and
targeting component 3.1
Mario Herrero (ILRI)
CGIAR Research Program on Livestock and Fish
Planning Meeting
ILRI Nairobi
27 September 2011
2. Aims
1. Generate data that will improve targeting and implementation of Value
Chain research and interventions
2. Provide basis for priority setting for selection of next generation Value
Chains, including spill-over outcomes
3. Support environmental impact assessment
4. Support standardisation of productivity indicators for key CRP species
5. For key CRP species, develop animal-farm-household models for ex
ante evaluation of interventions
3. Plans (tentative)
1. Systems analysis and Targeting report for EACH Value Chain
1. Physical areas covered by the value chains
2. Current infrastructure supporting the VC (roads, towns, markets, etc), possibly
development domains
3. Current climate + foreseen change Cs in the regions under study
4. Human population, maybe with an insight into numbers of producers, poverty
rates
5. Production systems contributing to production in the VC
6. Numbers of animals system, by breed category where feasible
7. Productivity per animal by system (modelled + initial information on yield gaps)
8. Feed resources (grasses, stovers, occasional feeds, grain consumption)
9. Water productivity of different animal products
10. Greenhouse gas emissions (methane, N Oxide and CO2 – totals and per unit of
product)