Agroecology: The Foundation for Food System SustainabilityExternalEvents
http://www.fao.org/about/meetings/agroecology-symposium-china/en/
Key note presentation of Steve Gliessman, from University of California Santa Cruz, on agroecology as the foundations for food system sustianability. The presentation was prepared and delivered in occasion of the International Symposium on Agroecology in China, held in Kunming, China on 29-31 August 2016.
Mechanisms of abiotic stress such as cold drought and salt stress which takes place in plants. Molecular control activities the plant undergoes during stress.
A detailed review on all the molecular mechanisms which promote and disrupt seed dormancy. Even genetic and epigenetic studies are also provided so as to have easy understanding
Agroecology: The Foundation for Food System SustainabilityExternalEvents
http://www.fao.org/about/meetings/agroecology-symposium-china/en/
Key note presentation of Steve Gliessman, from University of California Santa Cruz, on agroecology as the foundations for food system sustianability. The presentation was prepared and delivered in occasion of the International Symposium on Agroecology in China, held in Kunming, China on 29-31 August 2016.
Mechanisms of abiotic stress such as cold drought and salt stress which takes place in plants. Molecular control activities the plant undergoes during stress.
A detailed review on all the molecular mechanisms which promote and disrupt seed dormancy. Even genetic and epigenetic studies are also provided so as to have easy understanding
“Sweet Sorghum – A Novel Opportunity for Biofuel Production”.pptxAvinashJoshi53
Biofuel, any fuel that is derived from biomass—that is, plant or algae material or animal waste. Sweet sorghum [Sorghum bicolor (L.) Moench.] produces food (grain) and fuel (ethanol from stem sap) and the stalks contain 10-15 % sugars. Ethanol obtained from sweet sorghum is considered “cleaner” than ethanol from other sources.
Sweet sorghum is a promising dryland biofuel feedstock that addresses food-verses-fuel issue favourably.
Bioethanol from sweet sorghum (sorganol) is potentially a win-win solution.
Enhance energy security, ecological and economical sustainability and livelihood development.
it covers various types of bioenergy and also contains various energy yielding technologies. it shows the bioenergy scenerio in India.it also shows various activities and programmes related with bioenergy
Similar to Biofuels - what is in it for rice farmers? (20)
STATE OF THE INDUSTRY KEYNOTE BNEF SUMMIT 2016Tuong Do
MICHAEL LIEBREICH, CHAIRMAN OF THE ADVISORY BOARD, BLOOMBERG NEW ENERGY
FINANCE: Thank you very much and (INAUDIBLE) how quickly a year goes. What I'm trying to do is I'm
trying to live up to that idea of living in the present and also looking at the future.
Renewable energy models for rice residues - SNV VietnamTuong Do
Renewable energy models for rice residues - Potentials for Green Growth and Experience through SSC project by SNV
Presented at the Forum
Green growth in Agriculture:
Potentials, Experience and Recommendations
Hanoi, 31st October 2014
GIZ support mechanism for RE development in VietnamTuong Do
Hanoi, 19/09/2014
Ingmar Stelter, Program Manager
Werner Kossmann, Chief Technical Advisor
GIZ Viet Nam Energy Support Program
Energy Sector Development Partners Coordination
Module 1: Technical options and international best practices for on-grid powe...Tuong Do
Module 1: Technical options and international best practices for on-grid power generation from biomass, biogas and waste-to-energy (Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
Module 2: Assessment of international good practices in the fields of biomass...Tuong Do
Module 2: Assessment of international good practices in the fields of biomass energy technology ...(Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
Module 3: Criteria for the siting and systems integrationTuong Do
Module 3: Criteria for the siting and systems integration... (Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
Module 7: Assessment of framework conditions and necessary adaptationsTuong Do
Module 7: Assessment of framework conditions and necessary adaptations (Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
Module 4: Basic design parameters (technical and economic) for commercially v...Tuong Do
Module 4: Basic design parameters (technical and economic) for commercially viable on-grid biomass combustion heat and power plants (Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
Module 6 Basic design parameters for commercially viable on-grid biomass gasi...Tuong Do
Module 6: Basic design parameters for commercially viable on-grid biomass gasification heat and power plants (Training on "On-Grid Applications of Biomass, Biogas and Waste-to-Energy Power Plants for " in HN on December 10-12, 2013)
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
6. 20-fold increase from 1850 to 2000. Fossil fuels supplied 80% of the world’s energy in 2000 (Holdren 2007)
7. Oil consumption in selected countries World energy demand is projected to increase by 50% by 2030.
8. Biofuel production is viable if crude oil prices stay above $55/barrel. Global vegetable oil production (150 Mt) = 10 d global fossil fuel consumption.
9. Plans for annual growth in biofuel production…2010/12 Joachim von Braun, IFPRI, August 2007 Costs of feedstock dominate costs Ethanol: 50-70%; Biodiesel: 70-80%
10.
11. Gross energy yield of various biofuel crops Liska and Cassman. 2007. J. Biobased Materials and Bioenergy * BD – biodiesel; E – Ethanol Crop yields: 2003-2005 average (FAOSTAT) Conversion yields: corn,0.399 L/kg; cassava, 0.137 L/kg; soybean 0.205 L/kg; rapeseed, 0.427 L/kg 39 1863 14 Brazil Cassava-E 18 552 3 USA Soybean-BD 21 641 2 Canada Rapeseed-BD 79 3751 9 USA Maize-E 124 5865 74 Brazil Sugarcane-E 195 5920 21 Malaysia Oil Palm-BD GJ/ha L/ha Mg/ha Energy Biofuel Yield Country Crop-biofuel*
12. Gross energy yield and net GHG reduction estimates for food-crop biofuel systems Liska and Cassman. 2007. J. Biobased Materials and Bioenergy Gross energy values: two largest producers in the world Net GHG gas reductions: literature summary Gross energy yield (GJ/ha)
13.
14.
15. 42% 34% % of maize production, assuming 34 Mha area harvested and trend- line yield increase Expansion of USA maize-ethanol production 22% K. Cassman, Univ. of Nebraska
17. U.S. maize yields USA corn yield and irrigation (red hatched) by county (2004-2006 average). Source: National Agricultural Statistics Service, USDA. Liska and Cassman. 2007. J. Biobased Materials and Bioenergy
19. CH 4 Grain NO 3 leaching N 2 O CO 2 A. Liska et al., UNL, 2007 Technologies to improve maize-ethanol systems Thermal energy CH 4 Methane biodigestor (6) Closed-loop system (-56% energy) Biofertilizer CO 2 Maize & soybean production (1) Improve management (2) Increase NUE (10%) Grain Stillage CO 2 Ethanol Distillers grain Ethanol plant (3) Starch content 72 75% (4) Conversion efficiency 91 97% (enzymes, microbes) N 2 O CH 4 Manure, urine Meat Cattle feedlot (5) Directly use wet distillers grain (-26% energy) NO 3 leaching
20. Technological improvements Yield NUE Genetics Engineering ALL CORN YIELD Ethanol yield: crop management vs. other technological improvements Black : National average yields and technology (Farrrell et al., 2006) Blue : High-yield irrigated corn-soybean system, CT A. Liska et al., UNL, 2007 0 1 2 3 4 5 6 7 8 3000 4000 5000 6000 7000 Ethanol yield (L/ha) 15.3 Mg/ha 8.7 Mg/ha
21. Technological improvements Ethanol biorefinery integration with livestock to avoid drying distiller’s grains and producing methane can DOUBLE corn-ethanol’s net energy efficiency. Energy Ratio: 1.3 -1.6 1.6 1.6 1.6 1.9 2.6 2.8 Black : National average yields and technology Blue : High-yield irrigated corn-soybean system, CT A. Liska et al., UNL, 2007 0 1 2 3 4 5 6 7 8 6 8 10 12 14 16 18 Net Energy Value (MJ/L) Yield NUE Genetics Engineering ALL
22. GHG emissions reduction (% and t CO 2 eq*) Maize production system Ethanol biorefineries *Based on a 100 million gal/yr production capacity A. Liska et al., UNL, 2007 80% 601000 t 67% 504000 t closed-loop facility 73% 544000 t 60% 447000 t natural gas, wet DG 63%, 478000 t 51% 381000 natural gas 39% 294000 t 26% 198000 t coal Advanced Irrigated USA average
23. First Commercial-Scale Closed Loop Biofuel Refinery, Mead, Nebraska www.e3biofuels.com Ethanol: 24 M gallons/yr Cattle: 28,000 head/yr
24.
25. Includes forecast for 2007 (FAO Rice Market Monitor, Sep. 2007) Rice area Rice production
30. In what systems can crop residues be removed without threatening long-term sustainability? R. Buresh (IRRI) & K. Sayre (CIMMYT) In irrigated rice monoculture systems, removal of straw does not cause a decline in soil organic matter. Partial Limited Wheat & maize Sole upland crop(s) Partial Limited Rice All Yes Maize or wheat Rice – wheat, rice-maize All Yes Rice Double rice All Yes Rice Triple rice Portion for removal Potential for removal Residue System
31. Dry Season 2006 (kt straw) Wet Season 2006 (kt straw) Seasonal rice straw availability in Thailand B. Gadde, JGSEE Bangkok
32. Straw conversion to biopower or biofuel Slightly modified from C. Menke, JGSEE Bangkok Straw Energy conversion Electricity Solid Liquid Gas Intermediate energy form Form of end use Mandatory step Harvest Collection Transport Baling Combustion Pyrolysis Biomethanation Gasification Fermentation Raw material processing Shredded Briquetting Form as received Heat Gaseous fuel Liquid fuel Hydrolysis As intermediate steps increase – efficiency goes down Thermal conversion
Main point: many of these technologies are at an early stage of development and, so far, they have mostly been investigated for larger-scale industrial use. Starch ethanol and biodiesel processes are widely used already, but cellulosic ethanol remains at a pre-commercial stage thus far and will probably not have major impact on the next 5-10 years. For example: At present, the initial capital investment cost to build a corn-grain ethanol plant in the U.S. is about $1 per gallon of ethanol production capacity. The capital cost for a cellulosic ethanol plant is, at present, estimated to be 10 times as much, i.e., $10 per gallon capacity.
Trendline yield in 2007 is 9300 kg/ha, on 34.6 Mha, tottal production in 2007 = 322 Mt. yield increase is 112 kg/ha-yr, and estimated maize area in future years is 34 Mha, and probably less due to balance needed for soybean area.
There are other examples for such closed cycles at pilot stage: Oilseed biodiesel + high protein animal feed after oil extraction with wheat straw used to provide heat and power the process New Zealand (R. Sims): Fractionate biomass into various components, washing, pre-heating, hydrolysis of hemicellulose to chemicals such as furfural, lignin, and dried cellulose