National Database for Farmer Registration contains some seven millions records of 'grower' in Thailand. The database was designed to store plot level data of crop and livestock production systems in Thailand.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
The purpose of this project is to help the government to prepare a comprehensive development strategy for agriculture based on an analysis of the policy sector situation and wide stakeholder consultation.
The project also aims to ensure the progress of peasants, farmers, and rural society.
Digital Agriculture can be defined as ICT and data ecosystems to support the development and delivery of timely, targeted (localized) information and services to make farming profitable and sustainable (socially, economically and environmentally) while delivering safe, nutritious and affordable food for ALL. Rural connectivity will be a key to providing low cost data and access to information. Digital technology will be key to increasing agriculture productivity by delivering tailored recommendations to farmers based on crop, planting date, variety sown; real time localized observed weather and projected market prices. Mobile phones also enable farmers to integrate into structured markets based on approved grades and standards. The greatest impact of Digital agriculture will have is on democratization of market pricing and compressing transaction costs. Digital agriculture will also leverage social media platforms to build human capacity. One of the best examples originating from India is Digital Green.
Agriculture in developing countries must undergo a significant transformation in order to meet the related challenges of achieving food security and responding to climate change. Projections based on population growth and food consumption patterns indicate that agricultural production will need to increase by at least 70 percent to meet demands by 2050. Most estimates also indicate that climate change is likely to reduce agricultural productivity, production stability and incomes in some areas that already have high levels of food insecurity. Developing climate-smart agriculture is thus crucial to achieving future food security and climate change goals. This seminar describe an approach to deal with the above issue viz. Climate Smart Agriculture (CSA) and also examines some of the key technical, institutional, policy and financial responses required to achieve this transformation. Building on cases from the field, the seminar try to outlines a range of practices, approaches and tools aimed at increase the resilience and productivity of agricultural product systems, while also reducing and removing emissions. A part of the seminar elaborates institutional and policy options available to promote the transition to climate-smart agriculture at the smallholder level. Finally, the paper considers current gaps and makes innovative suggestion regarding the combined use of different sources, financing mechanism and delivery systems.
The purpose of this project is to help the government to prepare a comprehensive development strategy for agriculture based on an analysis of the policy sector situation and wide stakeholder consultation.
The project also aims to ensure the progress of peasants, farmers, and rural society.
Johan Swinnen, Sonja Vermeulen and Martin Kropff
POLICY SEMINAR
Addressing the global food security crisis
Strengthening research and policy responses
Co-organized by German Federal Ministry for Economic Cooperation and Development (BMZ) and CGIAR
JUL 25, 2022 - 9:30 TO 11:00AM EDT
Overview of Livestock Contributions to the Sustainable Development GoalsILRI
Presented by Fritz Schneider (Global Agenda for Sustainable Livestock) at the Expert panel: Sustainable solutions for the livestock sector: the time is ripe! 10th Global Forum for Food and Agriculture, Berlin, 19 January 2018
At the Africa Agriculture Science Week AASW 15-20 July, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Head of Research Sonja Vermeulen gave a presentation on Climate-Smart Agriculture for an African context.
Agribusinesses are important to India for multiple reasons-------- such as their contribution to the economy, the number of people they employ, strategic reasons of food security and providing raw material to other industries.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
Presented by Barbara Gemmill-Herren during the seminar How to Feed Nine Billion within the Planet’s Boundaries - Agroecology for Food Security & Nutrition organised by the SIANI Expert group on Agriculture Transformation on March 10, 2015. Read more here: http://www.siani.se/expert-groups/agriculture-transformation-low-income-countries-under-environmental-change
Agricultural Transformation Agenda in GTP II
Presented by Dereje Biruk (ATA) at the Ethiopia - CGIAR Research Programs (CRPs) Country Collaboration and Site Integration Meeting, Addis Ababa, 11 December 2015
Johan Swinnen and Channing Arndt
GLOBAL FOOD POLICY REPORT
2022 Global Food Policy Report: Climate Change & Food Systems
Global Launch Event
MAY 12, 2022 - 9:30 TO 11:00AM EDT
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
Current strategies for stunting reduction in the light of emerging evidence o...Francois Stepman
Habiba Hassan-Wassef, MD
National Research Center, Cairo, Egypt
1-5 October 2018. Addis Abeba. The 8th Africa Nutritional Epidemiology Conference (ANEC VIII 2018)
37.Mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visiti...Mr.Allah Dad Khan
37.Mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visiting Professor the University of Agriculture Peshawar Khyber Pakhtunkhwa Province Pakistan
Johan Swinnen, Sonja Vermeulen and Martin Kropff
POLICY SEMINAR
Addressing the global food security crisis
Strengthening research and policy responses
Co-organized by German Federal Ministry for Economic Cooperation and Development (BMZ) and CGIAR
JUL 25, 2022 - 9:30 TO 11:00AM EDT
Overview of Livestock Contributions to the Sustainable Development GoalsILRI
Presented by Fritz Schneider (Global Agenda for Sustainable Livestock) at the Expert panel: Sustainable solutions for the livestock sector: the time is ripe! 10th Global Forum for Food and Agriculture, Berlin, 19 January 2018
At the Africa Agriculture Science Week AASW 15-20 July, the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Head of Research Sonja Vermeulen gave a presentation on Climate-Smart Agriculture for an African context.
Agribusinesses are important to India for multiple reasons-------- such as their contribution to the economy, the number of people they employ, strategic reasons of food security and providing raw material to other industries.
Indian agriculture: Mechanization to DigitizationICRISAT
India is characterized by small farm holdings. More than 80% of the land holdings are less than 2 ha (5 acres). About 55% of India’s population is engaged in Agriculture with 40% farm mechanization. Due to non-remunerative nature of farming, more than 50% farmers in India are in debt. This situation has constrained farmers from investing in mechanization and other technologies.
-> ICRISAT Director General Dr David Bergvinson's presentation at the CII Agri business and Mechanization Summit held in New Delhi, India on 01 Sep 2015.
Presented by Barbara Gemmill-Herren during the seminar How to Feed Nine Billion within the Planet’s Boundaries - Agroecology for Food Security & Nutrition organised by the SIANI Expert group on Agriculture Transformation on March 10, 2015. Read more here: http://www.siani.se/expert-groups/agriculture-transformation-low-income-countries-under-environmental-change
Agricultural Transformation Agenda in GTP II
Presented by Dereje Biruk (ATA) at the Ethiopia - CGIAR Research Programs (CRPs) Country Collaboration and Site Integration Meeting, Addis Ababa, 11 December 2015
Johan Swinnen and Channing Arndt
GLOBAL FOOD POLICY REPORT
2022 Global Food Policy Report: Climate Change & Food Systems
Global Launch Event
MAY 12, 2022 - 9:30 TO 11:00AM EDT
Today the use of data is having a very revolutionized effect with
cultivatable land in decline demand for food increasing from
developing countries farmers.
Farmers who use data are capable of turning ordinary harvests into
bumper crops and profits behind.This is the precision agriculture hub connecting the world’s biggest agricultural businesses farmers and suppliers using integrated software solutions.
Current strategies for stunting reduction in the light of emerging evidence o...Francois Stepman
Habiba Hassan-Wassef, MD
National Research Center, Cairo, Egypt
1-5 October 2018. Addis Abeba. The 8th Africa Nutritional Epidemiology Conference (ANEC VIII 2018)
37.Mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visiti...Mr.Allah Dad Khan
37.Mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visiting Professor the University of Agriculture Peshawar Khyber Pakhtunkhwa Province Pakistan
This is a presentation on ICT for development, presented to DFID, India for fund raising. This is a part of the United Nations Information Technology Services (UNITeS) programme. This programme was a finalist in the Stockholm Challenge Award 2001
23.Mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visitin...Mr.Allah Dad Khan
23.mobile application in agriculture A Lecture By Mr. Allah Dad Khan Visiting Professor the University of Agriculture Peshawar Khyber Pakhtunkhwa Province Pakistan
Development of agricultural e-commerce framework for India, a strategic appro...IJERA Editor
This study is aimed to put forward an inclusive and pertinent e-commerce framework that serves as a platform
for the development and improvement of rural agriculture sector in India; which plays a major role towards
socioeconomic development of rural livelihoods along with food security and poverty reduction. The main
approach used was to critically review and understand the National Informatics Centre (NIC) and the Ministry of
Agriculture policies. In general, these policies emphasize on promoting IT based information kiosks, establishing
gyan chaupals (Knowledge centers) in villages, construction of Agri-India knowledge portal. Next, the
challenges and information gaps were identified and translated in the form of agriculture e-commerce framework
which can be used to build an e-commerce application.
Ict as an important tool in rural development in context to Agriculture, e - ...Nischay Patel
Here is the various ICT tools that are important in rural development in various sector namely., Agriculture, dairy sector, e- governance, extension and veterinary sector
Towards Indian Agricultural Information: A Need Based Information Flow Modelinventionjournals
Information is crucial for agriculture and rural development. ICT based services in agriculture is gaining importance day by day. Paper proposes to study the nature of agricultural information its uniqueness and problems of handling and organization. Agri informatics and use of different web portals for agriculture also discussed. Paper also highlighted the ICAR and IARIs contribution towards development of NARS (National Agricultural Research System) and models showing Information flow and strategic plan for organization of agricultural information. Some recommendations for proper organization and dissemination of agricultural information have been made to reach grass root level with desired agricultural information.
SocialCops and UN Papua New Guinea: Presentation for Data Stocktaking WorkshopSocialCops
SocialCops presented at the UN Papua New Guinea's workshop on how Papua New Guinea can track its progress toward the UN Sustainable Development Goals and Vision 2050
Open Government in Agriculture and NutritiongodanSec
Ana Brandusescu (GODAN Secretariat) for the Open Government in Agriculture and Nutrition lightning talk session at the Open Government Partnership (OGP) in Mexico City, 28 October 2015.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Show drafts
volume_up
Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
【社内勉強会資料_Octo: An Open-Source Generalist Robot Policy】
Thai Farmer Registration Database
1. Page 1
“The design and major features of the Farmer’s
Registration System : An implementation and
lesson learned by DOAE”
ICT Center,
Department of Agricultural Extension (DOAE),
Ministry of Agriculture
By : Omsap Viyakornvilas
2. Page 2
Background :
The Farmer’s data such as field crops, animals and
fisheries, has been registered by the department of
Agricultural Extension since 2009.
3. Page 3
Objectives :
To update and complete the farmer registration
database for the accuracy of the data, and used in
the implementation of the policy and various
measures of government
6. Page 6
Benefits (1) :
1. To be the database in the implementation of the
policies and measures of the government.
1.1 Production management.
1.2 Promotion and support the use of inputs,
classification of target farmers.
1.3 Assistance from the government in the
event of a disaster.
7. Page 7
Benefits (2) :
2. To be the database to track and evaluate the
performance of the public sector.
8. Page 8
Collaboration and data sharing (1) :
• Linkage with the database of Department of
Provincial Administration, Ministry of Interior.
• Linkage with the worker database, Ministry Of
Labour.
• Linkage with the Smart Farmer database,
Ministry Of Agriculture and Cooperatives.
9. Page 9
Collaboration and data sharing (2) :
• Linkage with the Citizen Smart Info database,
Ministry Of Information and Communication
Technology.
• Linkage with farmer credit card database, Bank
for Agriculture and Agricultural Co-Operatives.
• Linkage with livestock and fisheries databases.
10. Page 10
Farmer Registration
Database
(Per Unit Area)
Basic
Household
Data
Agricultural
Activity
DATA
Land Tenure
Data
Farmer
Registration
Database
Household
Member Data
12. Page 12
Farmer Registration Database
Implementation Process
Farmers
Register Data
Already
Registered
(Data Per Unit
Area)
Farmer
Registration
Database
(Per Unit
Area)Never Register
Verification
-Document
-Regulations
-Application System
13. Page 13
Farmer Registration Book (1)
Concept
2013
Farmers have registration book that records details of the
agricultural occupation of each person. So it is easy to coordinate
with government agencies, and the farmers are helped in projects
based on policies of public sector.
Extend the results
cover the whole
country
2012
10 Pilot provinces
17. Page 17
Smart Card
Concept
Ministry of Interior
Integrate information between various agencies to link the
information into a personal identity card (Smart Card). And support
farmer registration database, to put information into the registration
database of Ministry of Interior by the Department of Agricultural
Extension, Ministry of Agriculture.
Registration
Database
Ministry of Agriculture
Farmer
Registration Database
Smart Card
18. Page 18
Linkage of Farmer Information And Smart Card
Farmer
Registration
Database (Per
Unit Area)
Farmer
Registration Book
Smart Card