This document summarizes BAIF's experience using mobile technology in their agricultural extension programs. It discusses their initial attempts using bulky devices with limited functionality. Subsequently, they tried using Palm OS devices which had issues with displays, batteries, and storage capacity. In 2008, they developed a custom mobile application using Windows OS smartphones which allowed for real-time data entry, monitoring, and reporting across hundreds of livestock centers. The mobile system provided benefits like time savings, improved data quality, and monitoring metrics. Moving forward, BAIF aims to explore web-based and online systems, while addressing issues like connectivity, security, and cost-effectiveness.
Presented by Getnet Assefa (Ethiopian Institute of Agricultural Research) at the Third ACGG Program Management Team Meeting, Abuja, Nigeria, 2 December 2016
Artificial Insemination service provision started 19 years ago in Mekelle and Adigrat towns of Tigray region. Currently AI service is given by 70 AI technicians in 33 districts & town, at 52 breeding units and one farm (TDA farm).
Presented by Getnet Assefa (Ethiopian Institute of Agricultural Research) at the Third ACGG Program Management Team Meeting, Abuja, Nigeria, 2 December 2016
Artificial Insemination service provision started 19 years ago in Mekelle and Adigrat towns of Tigray region. Currently AI service is given by 70 AI technicians in 33 districts & town, at 52 breeding units and one farm (TDA farm).
Community Ownership and Institutional Mechanisms to Develop CPRs' and Enhance...copppldsecretariat
This good practice shows that community led development of Common Property Resources through local ownership and institutional mechanisms greatly enhances livelihoods of livestock keepers especially the poor, landless and Below Poverty Line families. The practice helped improve the environment by reducing soil degradation and increasing soil moisture and vegetation.
In succession, this resulted into increased biomass in terms of quantity and quality and thus the overall year around fodder situation improved. The improved fodder situation led to more output per animal and subsequently more animal products for home consumption and sales.
Overall, it also contributed to an improved nutritional status of village communities.
[ Originally posted on http://www.cop-ppld.net/cop_knowledge_base ]
Examining Actors in Privately-led Extension in Developing CountriesKathryn Heinz
Presented at the 2nd Annual International Conference on Global Food Security. October 14, 2015. By Miguel Gomez, Benjamin Mueller, and Mary Kate Wheeler
Presentation by : Stephen Kibet Rono, Information Management Officer, AIRCState Department of Agriculture, MOALF, Kenya
Session: Implementation of ICT for Development Strategies in Agriculture
on 5 Nov 2013
ICT4Ag, Kigali, Rwanda
Mary Kamau - Extension Policy, Kenya
Presentation given at the GFRAS side event on Rural Extension Policy, Manila 2012_09_25. More info at http://www.meas-extension.org/meas-offers/best-practice/policy
Innovation Platforms as a tool for smallholder dairy development: A case from...ILRI
Presented by Thanammal Ravichandran, Nils Teufel, Alan Duncan at at Tropentag 2014: Bridging the gap between increasing knowledge and decreasing resources, Prague, 17−19 September 2014
IFPRI organized a two day workshop on “Agricultural Extension Reforms in South Asia – Status, Challenges, and Policy Options” to be organized at Committee Room 3, NASC, Pusa, New Delhi on February 17-18, 2015. IFPRI has been conducting research related to agricultural extension reforms in India and collaborating with researchers in other south Asian countries for the past five years through various projects. For understanding extension reforms in India, a major consultation was held in NAARM in 2009 during which policy makers called for development of evidence for spreading extension reform process in India. Since then several research papers have been produced on various aspects of Indian extension system. While they are presented in various forms including several discussion papers, there is a need to pull all the research result together to present it in form that could be used by the policy makers to further guide them in the reform process. South Asian countries such as Bangladesh, Nepal, and Sri Lanka are going through similar challenges in getting knowledge to farmers. Several experiment shave been conducted to test new approaches to extension by the public, private and NGO sectors. Learning from each country experiences will bring collective understanding and knowledge for the policy makers who are attempting to bring changes in the reform process. The purpose of this workshop is to bring together a groups of researchers, analysts and policy makers to present the issues, constraints and challenges facing agricultural extension reforms that are being implemented in South Asian countries.
National performance and plan for AI activities and servicesILRI
Presented by Demere F/Mariam at the IPMS Workshop on Alternatives for Improving Field AI Delivery System to Enhance Beef and Dairy Production in Ethiopia, ILRI, Addis Ababa, 24-25 August 2011
Community Ownership and Institutional Mechanisms to Develop CPRs' and Enhance...copppldsecretariat
This good practice shows that community led development of Common Property Resources through local ownership and institutional mechanisms greatly enhances livelihoods of livestock keepers especially the poor, landless and Below Poverty Line families. The practice helped improve the environment by reducing soil degradation and increasing soil moisture and vegetation.
In succession, this resulted into increased biomass in terms of quantity and quality and thus the overall year around fodder situation improved. The improved fodder situation led to more output per animal and subsequently more animal products for home consumption and sales.
Overall, it also contributed to an improved nutritional status of village communities.
[ Originally posted on http://www.cop-ppld.net/cop_knowledge_base ]
Examining Actors in Privately-led Extension in Developing CountriesKathryn Heinz
Presented at the 2nd Annual International Conference on Global Food Security. October 14, 2015. By Miguel Gomez, Benjamin Mueller, and Mary Kate Wheeler
Presentation by : Stephen Kibet Rono, Information Management Officer, AIRCState Department of Agriculture, MOALF, Kenya
Session: Implementation of ICT for Development Strategies in Agriculture
on 5 Nov 2013
ICT4Ag, Kigali, Rwanda
Mary Kamau - Extension Policy, Kenya
Presentation given at the GFRAS side event on Rural Extension Policy, Manila 2012_09_25. More info at http://www.meas-extension.org/meas-offers/best-practice/policy
Innovation Platforms as a tool for smallholder dairy development: A case from...ILRI
Presented by Thanammal Ravichandran, Nils Teufel, Alan Duncan at at Tropentag 2014: Bridging the gap between increasing knowledge and decreasing resources, Prague, 17−19 September 2014
IFPRI organized a two day workshop on “Agricultural Extension Reforms in South Asia – Status, Challenges, and Policy Options” to be organized at Committee Room 3, NASC, Pusa, New Delhi on February 17-18, 2015. IFPRI has been conducting research related to agricultural extension reforms in India and collaborating with researchers in other south Asian countries for the past five years through various projects. For understanding extension reforms in India, a major consultation was held in NAARM in 2009 during which policy makers called for development of evidence for spreading extension reform process in India. Since then several research papers have been produced on various aspects of Indian extension system. While they are presented in various forms including several discussion papers, there is a need to pull all the research result together to present it in form that could be used by the policy makers to further guide them in the reform process. South Asian countries such as Bangladesh, Nepal, and Sri Lanka are going through similar challenges in getting knowledge to farmers. Several experiment shave been conducted to test new approaches to extension by the public, private and NGO sectors. Learning from each country experiences will bring collective understanding and knowledge for the policy makers who are attempting to bring changes in the reform process. The purpose of this workshop is to bring together a groups of researchers, analysts and policy makers to present the issues, constraints and challenges facing agricultural extension reforms that are being implemented in South Asian countries.
National performance and plan for AI activities and servicesILRI
Presented by Demere F/Mariam at the IPMS Workshop on Alternatives for Improving Field AI Delivery System to Enhance Beef and Dairy Production in Ethiopia, ILRI, Addis Ababa, 24-25 August 2011
Herd recording and farmer education using digital platforms are feasible and...ILRI
Presented by Okeyo A.M., R. Mrode, J. Ojango, J. Gibson, M. Chagunda, Negussie Enyew, E. Kefena, E. Lyatuu, S. Kahumbu and S. Kemp at the Mid-Term Livestock Genetics Flagship Meeting, ILRI, Nairobi, 5-6 September 2017
Innovation in plant breeding is imperative to meet the growing demand for staple food crops in developing countries. Modernizing breeding was therefore a major objective of the Generation Challenge Programme (GCP, http://www.generationcp.org). In this endeavor,the GCP createdthe Integrated Breeding Platform (IBP, https://www.integratedbreeding.net),to provide breeding material,knowledge and tools to assist researchers in their work,including custom-built software forreliable data management – the Breeding Management System (BMS Pro).These activities were sustained mainly through funding by the Bill & Melinda Gates Foundation,which ended this last September after 10 years of direct collaboration. The IBP has proven to be agile, adaptable and bold over the years, and is now applying the same spirit and resolve to find revenue from both public and private sources to continue serving its broad basis of stakeholders, among which national programs in Sub-Saharan Africa (SSA) remainfront and center. BMS Pro – a professional-grade software package distributed through LAN or cloud – is being used by close to 700 users in over 30 organizations of different types around the world (17 in SSA). We have learned that digitizing breeding is less about technology than it is about changing mindsets;it requires proper support on the ground,and thatmanagement commits to empower adoption within institutions. Although there is still some way to go before reaching routine adoption, a solid basis has been established and continues to be supported by a new generation of African breeders.Breeding digitization in Africa is well underway.
National Artificial Insemination Center (NAIC) of Ethiopia was established in 1981 with the objective of improving the milk productivity of the local cattle breeds,
Building the next generation of farmers
Supporting capacity-development of African Farmer’s Organisations through improved Policies, Technologies and Capabilities
Workshop , 6-7 November 2018, Brussels
Soon we’re all going to be eating data, one byte at a timeCIAT
Talk during CIAT’s 50th Anniversary: Data is the flux capacitor of agricultural research, accelerating us into a future of sustainable, resilient food production, where no-one is left behind.
Speaker: Andy Jarvis, Director, Decision and Policy Analysis Research Area, CIAT
Cali, Colombia. 8-9 November 2017
Presentation by the GCP Director at an international workshop on genomics and integrated breeding, February 2014. More on the workshop: http://bit.ly/MwpliD You can also view the presentation on video here: http://bit.ly/1mVmVdS
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1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
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Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
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End-to-end overview of CI/CD pipeline with Azure devops
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
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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).
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Bob Boule
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Gopinath Rebala
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Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...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.
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
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We will cover:
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A tale of scale & speed: How the US Navy is enabling software delivery from l...
Baif pune
1. Use of
modern information technology tool
(mobile)
in
agriculture extension program
BAIF’s experience
Dr.R.L.Bhagat
2. Our mission:
To create opportunities of gainful self-
employment for the rural families,
especially disadvantaged sections,
ensuring sustainable livelihood, enriched
environment, improved quality of life and
good human values.
This is being achieved through development
research, effective use of local resources, extension of
appropriate technologies and up-gradation of skills and
capabilities with community participation.
1920-1993
4. Livestock program coverage
State Dist. CDC
No.
Total
Family
Total A.I.
M.S. 19 285 94054 218701
Guj 23 219 384568 146177
Kar 21 226 466082 180586
Raj 18 422 596646 414643
M.P. 19 120 40452 42506
A.P. 11 152 100728 118504
U.P. 75 1043 2788022 1053583
U. Khand 12 120 246435 66517
Bihar 15 252 175000 233826
Jh. Khand 24 710 303345 169251
Odisha 10 100 24964 29120
Punjab 5 100 42815 107038
Total 252 3,749 52,63,111 27,80,452
5. Data captured at each CDC
At the time of Artificial Insemination (A.I.):-
Farmer name, address
Animal name/ tag no.
Date of A.I.,
Name sire used for A.I.,
Semen Mfg. date,
A.I. charges,
Milk given on A.I. date,
distance covered,
Heat symptoms.
On Pregnancy Diagnosis :-
Follow up date and result
After Calving :-
Calving date, calf sex, calving type, calf status
Semen stock per month
6. Need of automation :
Catering varying reporting requirements of
sponsors
Quicker and accurate data compilation
Reduction in CDC expenses in long run
Monitor CDC performance
Test technical interventions
Generate data for new technology testing
Effective implementation of field research
7. First Model 2006
• Bulky device
• Code based entry and display
• Limited scope of operation
• Not found user friendly
• Battery back up period was short
• Battery being outside, handling was
difficult
• Difficulty was faced in carrying the unit.
• Improvements were tried the next unit
Experience:
8. Second Model
◦ Problems in display.
◦ Battery problem could not
be sorted out completely
◦ Smaller data storage
capacity due to weak
internal battery.
◦ As a solution
◦ Simputer developed by
C-DAC was also tried
Experience
9. After 2 years: 1st time mobile use
Decided to use PALM for data capture
• An I. T. professional was hired
• as consultant
Satellite Form as a developing tool
Smart phone Palm Treo 680
Development of software
Software Testing & Implementation
Software testing done
After extensive testing
implemented at 4 centers
10. Features
Uploading facility
Down loading facility
Handling more convenient
More enthusiasm noted at
field technicians
Limitations:
Requires specific type of software (Palm OS)
Inclination to use entertainment facilities
Frequent failure of power adaptors (chargers)
Shortage of memories
Difficulty in getting spare parts
switching from Palm to window OS based devices
11. Prerequisites for software
Mobile
Touch screen c Window 6.5
PC with
Min. 1 GB of RAM &
Windows XP or
later version operating system
Dot Net framework
2.0 or later version.
SQL Server
Express edition with service pack 3.
12. CDC
(Unique ID & separate mobile)
Village-1
Farmer-1
Animal-1
Animal-2
Animal…. n
Farmer-2 Farmer …. n
Village-2 Village …n
Master tables on mobile at CDC:
Animal name / Tag No., Species,
Breed, DOB, Lact. No., Last calving
date, Calving type, Dam, Sire,
Farmer name, Sex, Contact No., Cast,
Economic status, Land Holding
Master
Lists
Master Lists
Master
Lists
13. Networking of mobile & data transfer:
State Office
CDC
Area Office
CDC
CDC
CDC
Area Office
CDC
CDC
CDC
Area Office
CDC
CDC
State Office
Central Office
14. Information flow:
CDC
• Information captured at time of each
A.I. & follow-ups on Mobile
Area Office
• The information imported Monthly on
PC
State Office
• The information imported Monthly on
Server
Central
Warehouse
• The information imported Monthly on
Server
14
15. Advantages:
Once master lists
entry takes hardly one minute.
Almost 80% master lists
3 to 4 months .
First hand data entry
Saves data entry errors
collected through paper work.
Pending list of follow-up
Pregnancy diagnosis & calving
automatically generate & alarmed to I/c. CDC
Monitoring
AFC, Open period, Ser. period, Inter calv.
period,
Required data available all the time
16. Advantage:
Being Mobile
Used getting A.I. calls from farmers
Centre in charge is able to avoid
inbreeding
as he can see sire of progeny
Before A.I.
Elimination of paper is possible
CDC in-charge get on the spot information
of
A.I. done during any given period
Progeny born during any period
Bull wise/ species wise A.I.
Bull wise/species wise semen used
Bull wise/species wise pregnancy
17. Number of villages covered within a centre
Village wise number of farmers availing breeding services
Economical status wise number of families (APL/BPL)
Social strata-wise number of families (Caste, Tribe etc)
Number of landless and land holder families
Breed wise number of breed-able cattle / buffaloes
Average distance covered per AI
Number of AI required per pregnancy
Number of AI required for getting one female calf
Disposal status of animals (Sold/died/Transfer) and reasons like fodder shortage,
better price for animal, surplus animal, problem breeder, low yield etc.
Calving type (Normal, Assisted, etc.)
Centre performance i.e. Number of AI, PD, calving / month / year ,
Breed-able population covered within centre jurisdiction etc.
Efficiency of centre in charge i.e. number of pregnancies per 100 AI .
Breed-wise/ Sire wise number of semen doses used.
Semen wastage and reason of semen dose wastage like leakage, empty straw, half
filled straw, bursting at the time of thawing. Etc.
Sire evaluation i.e. number of progenies born, disposal of progeny and their reasons
like sudden death, still birth twin birth, natural deformity etc.
AI and other charges ( sale of mineral mixture, de-worming vaccination etc. collected
Technical information of heat symptoms at the time of AI which helps advising farmers
regarding animal status.
Output generated:
18. Once master list is prepared further entry takes hardly one minute.
Almost 80 % master lists are generated within 3 to 4 months
First hand data entry saves mistakes / errors while entering data in PC
collected through paper work.
Pending task automatically generate
Reminds to user
Tracing of progeny of sire is possible.
Monitoring in terms
open period, service period, Inter calving period is possible
User able to avoid inbreeding
as he can see the sire of progeny before the time of AI.
The centre in-charge is able to get instant ( On the spot) information on
Number of AI done during any given period
Number of pregnancies
Bull wise/ species wise AI
Bull wise/species wise semen used
Bull wise/species wise pregnancy
Amount /Levy collected.
List of Registered / Unregistered farmers.
Benefits to User
19. Data captured through mobile (Jan 06 to Dec 12)
Project name States No. of Mobiles Total A.I.
Godhan U.P. , Bihar, M. S. 160 2,92,000
Govt. of India Bihar & U.P. 200 5,98,905
State Govt. Jharkhand 400 2,07,118
PALM (old) Maharashtra 25 1,20,000
Total 785 12,18, 023
Receiving A. I.
call
Animal herd Data entry transactions
20. Future Scope
Trying to use web based real time system.
Cost effective comparison among different
technologies
◦ On line, offline, web based etc
Long term durability.
Explore to use motor cycle mounted
chargers
Project specific data capturing.
21. CPC
Semen Collection
details
R&D Team
Field Officer
AI Details
AI Appointment
Livestock Info
Farmer Info
Village Info
Pending Task
Revenue Details
Web based mobile process flow chart
Web Server /
Database
Bull Details
Semen
Inventory
Alerts
Calf Info
Top Management
Farmer
Veterinary
Doctor
SM
S
22. Real time updates, available online & on mobiles
Secured access from anywhere, anytime.
Easy to plan, track & report on schedule.
can be added notes, email alerts and priorities
can track resources, risks, changes and issues
Graphical charts provides reports at a glance
help to manage people, materials and equipment
can be created customized project reports
Features of new mobile application
23. Internet connectivity and mobile range
In rural & remote areas
Cost effectiveness
Recurring cost like
server rant, net charges etc
Being other’s server data security?
Data retrieve time and time require
Complete the transactions
Data handling capacity
Issues need to address: