This document summarizes Prasari's commencement of a new agricultural system into conventional agriculture across multiple locations in India. It discusses the locations, crops grown, number of farmers involved, challenges faced, and proposes a future model centered around SRI Kendras to help commercialize production and optimize resources for farmers. Over 1600 farmers in 3 blocks across 10 gram panchayats grew crops like paddy, wheat, and mustard. Issues encountered included water shortages and seed failures. A revamped village resource person model is suggested to help provide services and connect farmers to markets through SRI Kendras for better prices and local employment.
The education department under the guidance of Brijmohan Agrawal recommended that it must pay extra attention in Chhattisgarh’s far flung areas, which were affected by the
naxal-violence.
Source(s): http://www.apnachhattisgarh.in
“Радар” (Алексей Кацалуха): www.radarrr.ru — это сервис, с помощью которого можно быстро найти правильную автошколу рядом с домом или работой, сравнить конечные цены и условия обучения, при этом за вас уже позвонили и все проверили. Поисковик автошкол находится в бета-режиме. Создали очень просят протестировать сервис и оставить свою почту на странице www.radarrr.ru/v
The education department under the guidance of Brijmohan Agrawal recommended that it must pay extra attention in Chhattisgarh’s far flung areas, which were affected by the
naxal-violence.
Source(s): http://www.apnachhattisgarh.in
“Радар” (Алексей Кацалуха): www.radarrr.ru — это сервис, с помощью которого можно быстро найти правильную автошколу рядом с домом или работой, сравнить конечные цены и условия обучения, при этом за вас уже позвонили и все проверили. Поисковик автошкол находится в бета-режиме. Создали очень просят протестировать сервис и оставить свою почту на странице www.radarrr.ru/v
Monolama (Полина Черповская). Бренд украшений девушек архитекторов, которые придумали браслет, который “висит в воздухе” и планирует собрать деньги на масштабирование на Kickstarter. Подробнее на сайте проекта http://monolama.ru/
Content is at the heart of a digital experience, and the content platform that feeds customer experiences must be as forward thinking and relevant as the messages it delivers. To meet this challenge, Hilton Worldwide is transforming their approach to their workflow and tools in meaningful and sustainable ways. Learn how Hilton is tackling questions around digital asset and content management through three lenses: content strategy, product management and technical architecture in order to maximize their value in making critical decisions around priorities, goals and operations. A work in progress, Hilton is making strides to deliver a best-in-breed content practice and platform for best-in-breed hospitality experiences.
Данный доклад основан на анализе открытых данных (материалов СМИ, аккаунтов американских политиков в социальных сетях, агитационных материалов партий и кандидатов), включенном наблюдении в избирательные кампании в США, начиная с 2012 года, и серии экспертных интервью с американскими политиками и политконсультантами (всего более 200 интервью).
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This fast-paced workshop will give you the inside scoop on how to match your unique needs to the right digital experience and MarTech marketplaces and vendors. Delivered by specialists from hard-hitting independent analyst firm Real Story Group, you'll learn about how to distinguish among features, architectures, cost and ecosystems to assess how you can underpin your digital strategy with the best-fitting tools for your needs. Come away with a firm understanding of the major pros and cons of the key players and a proven methodology for technology selection.
Die Bedeutung von Machine Learning für den e-Commerce am Beispiel von AmazonRising Media Ltd.
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Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
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Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. In this session, we will introduce how to use Amazon Machine Learning to create a data model, and use it to generate the real-time prediction for your application.
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Monolama (Полина Черповская). Бренд украшений девушек архитекторов, которые придумали браслет, который “висит в воздухе” и планирует собрать деньги на масштабирование на Kickstarter. Подробнее на сайте проекта http://monolama.ru/
Content is at the heart of a digital experience, and the content platform that feeds customer experiences must be as forward thinking and relevant as the messages it delivers. To meet this challenge, Hilton Worldwide is transforming their approach to their workflow and tools in meaningful and sustainable ways. Learn how Hilton is tackling questions around digital asset and content management through three lenses: content strategy, product management and technical architecture in order to maximize their value in making critical decisions around priorities, goals and operations. A work in progress, Hilton is making strides to deliver a best-in-breed content practice and platform for best-in-breed hospitality experiences.
Данный доклад основан на анализе открытых данных (материалов СМИ, аккаунтов американских политиков в социальных сетях, агитационных материалов партий и кандидатов), включенном наблюдении в избирательные кампании в США, начиная с 2012 года, и серии экспертных интервью с американскими политиками и политконсультантами (всего более 200 интервью).
Amazon Machine Learning (Amazon ML) is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning’s powerful algorithms create machine learning models by finding patterns in your existing data. The service uses these models to process new data and generate predictions for your application. In this session, we will show you how to use machine learning with the data you already have to arrive at accurate and actionable predictions - to create smart applications. You will learn how to use and integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.
This fast-paced workshop will give you the inside scoop on how to match your unique needs to the right digital experience and MarTech marketplaces and vendors. Delivered by specialists from hard-hitting independent analyst firm Real Story Group, you'll learn about how to distinguish among features, architectures, cost and ecosystems to assess how you can underpin your digital strategy with the best-fitting tools for your needs. Come away with a firm understanding of the major pros and cons of the key players and a proven methodology for technology selection.
Die Bedeutung von Machine Learning für den e-Commerce am Beispiel von AmazonRising Media Ltd.
Dieser Vortrag gibt Ihnen einen Einblick, warum Maschinelles Lernen von so zentraler Bedeutung für Amazon sowie die Online- und E-Commerce-Industrie ist. Nach einer kurzen Einführung in die Grundlagen von Machine Learning (ML) wird ein Überblick über die heutige Anwendung von ML im Bereich Nachfragevorhersage, Maschinelle Übersetzung und Predictive Analytics Cloud Services gegeben.
Predictive Analytics World is the leading provider of independent specialized conferences in applied predictive analytics. Users, decision makers and experts in predictive analytics will meet in Berlin in order to discover the latest findings and progress, to exchange among specialists and in person and to be inspired by the success stories.
Build a Recommendation Engine using Amazon Machine Learning in Real-timeAmazon Web Services
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. In this session, we will introduce how to use Amazon Machine Learning to create a data model, and use it to generate the real-time prediction for your application.
In this presentation, learn how an end-to-end smart application can be built in the AWS cloud. We will demonstrate how to use Amazon Machine Learning (Amazon ML) to create machine learning models, deploy them to production, and obtain predictions in real-time. We will then demonstrate how to build a complete smart application using Amazon ML, Amazon Kinesis, and AWS Lambda. We will walk you through the process flow and architecture, demonstrate outcomes, and then dive into the code for implementation. In this session, you will learn how to use Amazon ML as well as how to integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.
Presented by: Guy Ernest, Principal Business Development Manager, Amazon Web Services
Customer Guest: Pim Vernooij, Partner, Lab Digital
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4. 4 A REA B ACKGROUND …
S
U Gosaba
N
D
Basanti
E
R Two blocks.
V Six Gram Panchayets
≈1900 registered farmers
A
N COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
5. 5 A N I NSIGHT INTO …1/2
Crops under SRI 2010-2011
S
U Mustard
N
D Wheat
E
R Paddy
V
A 0 200 400
Paddy
600 800 1000
Wheat
1200 1400 1600
Mustard
1800 2000
N Area (Acre)
No of farmers
747.9
1833
7
29
4.3
34
6. 6 A N I NSIGHT INTO …2/2
A detailed insight into Sundervan’s Statistics
S 1200
U 1000
Gosaba and Basanti both blocks
N 800
Gosaba block
D 600
E 400
R 200
V 0
SDTT NABARD NABARD SDTT SDTT SDTT
A
6 1 5 4 1 4 4 4
Kharif 2010 Kharif 2010 Kharif2010 Rabi 2010-11 Rabi 2010-11 Rabi 2010-11 Rabi 2010-11 Rabi 2010-11
Paddy Wheat Mustard
N No of farmers
Area (Acre)
1010
334
98
31
140
158.3
231
107.3
209
69.3
145
48
29
7
34
4.3
7. 7 A REA B ACKGROUND …
J
A Nagrakatta
L
P
A Mal Bazar
I
G Three blocks.
Maynaguri
U Ten Gram Panchayets
R >1600 registered farmers
I COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
8. 8 P RASARI AND ITS L OCATIONS
PRASARI CDHI
NAGRAKATTA MAL BAZAR MAYNAGURI
9. 9 L OCATIONS AND FARMERS …
J
Maynaguri
A Mal, 1123
, 513
L 26%
P
A 57%
I 17%
G
Nagrakatta
U , 326
R
I COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
10. 10 C ROPS V S . A REA …
J Paddy
Wheat
A Maynaguri
Maynaguri,
160
L , 288 Mal, 315 Mal, 309
P Nagrakatta,
180
A Nagrakatta
,4 Mustard
I Maynaguri,
65
G
U Nagrakatta,
142
Mal, 154
R
I COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
(Areas are in Bigha)
11. 11 P ROCESS F OLLOWED …
Announcements General meeting Technical tranining
Regn
Postering Farmers’ registration Demonstration in groups
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
12. 12 PARAMETERS F OLLOWED …
Come along only if you want to learn something
new with us.
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
17. 17 P ROBLEMS E NCOUNTERED …
Lack of water for irrigation – no/very less water
after March 1st week. Salinity is also a big issue.
Failure of local seed. Mustard seed failure
Unavailability of properly designed weeder.
Birds picking up the seeds/small plants.
Farmers shifting to other crops due to poor
situation in Mustard.
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
18. 22 D ROP -O UT …
2000
J 1800
A 1600
L 1400
Number of farmers
P 1200
A 1000
I 800
G 600
400
U
200
R 0
I Series1
Registration
1636
Transplantation
1497
1st weeding
1214
19. 23 B UT W HAT I S T HE F UTURE ?
No
Local
Shop?
market
Farmer
Sustain- Less
ability price
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
20. 24
Will ‘The System’ keep working
this way….?
CAN WE THINK OF A SOLUTION?
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
21. 25
We have a very strong and proven model –
VRP (village resource person).
Just think – what if we just reshape the
model.
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
22. 26
SRI KENDRA
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
23. 27 H OW /W HAT W OULD I T W ORK ?
Technical
Training
Registration
SRI
FARMER
SRI KENDRA Kendra
FUTURE
Services
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
24. 29 F UTURE …?
Produce
Village
Produce Produce
Village Village
SRI
Kendra
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
25. F UTURE … IS
30
C OMMERCIALIZATION
Platform
• Village • Reliance
• F Club • SRI • Tata
Kendra
Produce Market
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
26. 31 C OMMERCIALIZATION …W HY ?
Optimization of production.
Optimization of available resources.
Promotion of organic agriculture – Certification
such as Fair Trade etc.
Fair price for the produce.
Generation of Local Employment – no need to
migrate 2000 km just to earn ` 4000 per month.
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
27. 32
!!!
COMMENCEMENT OF 'A SYSTEM' INTO THE CONVENTIONAL AGRICULTURE
Editor's Notes
You can talk about PRI collaboration here as well. In the picture down most that can be linked as PRI collaboration.
First production in Kharif 2010 happened in both Gosaba and Bansanti block covering all 6 GPs.Gosaba – Bali –I, Shambhunagar, Radhanagar, Pathankhali, and Bipradaspur.Basanti – Kathalberia.
Actually the number of registered farmers are 1123 and 513=1636 in (Mal, Nagrakatta) and Maynaguri block.
Micing -> Postering -> General Meeting with the villagers, local leaders and panchayetmemebers etc ->
Irrigation – if we would want to work on SRI in summers as well then we also need to work on water conservation as well.
Its not that we didn’t have the information about B 9, it’s working quite good in Sundervan area and just working fine in Jalpaiduri as well. This doesn’t mean that we were there to promote B 9 but we were confident that if farmers are using B 9; there should be no harm. Unfortunately it just didn’t work well in many places and showed average results in other places. You can better say that it also resulted in the drop out in certain areas as well. We would see that in next slides.
Agro Industries (A govt agency to supply agriculture tools in Jalpaiguri) – they denied to deliver the weeder stating that they can’t change the design right now and we have to wait for 4 months at least. That time, we had the reference of Mal ADO. Then we talked with the supplier in Alipurduar, he then sent us sample weeder which farmers rejected saying it won’t work in Wheat. We didn’t want to invest double on weeders so we (here we means farmers) then designed weeder that can especially work both in Wheat and Mustard. By that time, we were late by 20 -30 days. Farmers were already troubled with poor situation in mustard and presence of weeds only lowered their patience. So there was a drop out in the crops.
A farmer – what is his future? His source of information is a local shop – you have seen the seed failure and all the disease and pests – what kind of information they get from there? If somehow he gets good rain and therefore a good produce where is the market – if somehow he manages to send it to the market with the help of middlemen then what is the price he gets for the produce???? What is the future..please tell me and forget about all this….where is the sustain – ability -- do you think would they always be interested in agriculture. The area I have been working for the last four months is the place where there is a growing tendency for Tea gardens, migration as a wage earners…..where is the future?????
You keep growing all the vegetables and all the SRI things but it shall sustain …. I do doubt. We need to be a bit innovative. Think of something which help them to reshape. We are here to propose something …. This is an idea… there might be one hundred thousands of loopholes in this explanation but still I am going to talk about an idea. Think about that.
and put it into a proper structure – would save huge amount of money that we are investing on promoting SRI – and moreover it WOULD BE SUSTAINABLE in itself.
Now could you please think of a place where farmer gets all the information which he used to get from the local shop. These shop owners claim to be very informative and possessing relevant certificates but do they really have ‘information’ on various aspects of farming practices???? Well … personally I don’t think so.
FC-> Farmers’ Club
Excess produce would be purchased by the SRI Kendra and would be sent into the market.