SlideShare a Scribd company logo
1 of 25
New Business Models


Demand Aggregation and Services for Smallholders

                                         Examples
                                       Aanand Kumar
                                        Kathmandu
                                        Jan 23, 2013
10 Minute Agenda

• Why Smallholders
• Why Aggregation
• Examples of Work Done
Why Smallholders?
• Comprise “90% plus” of rural households in EUP,
  Bihar and Odisha
• Main focus of donors – small farmers
• Cannot negotiate – give the maximum margins
• Most value conscious
• Generally left out by all agencies
• Maximum market available here
Rural Households Vs Land Operated


         Resource Poor Farmers
          Aggregation of Households
                                        Land
                                      Aggregation of Land
Why Smallholders?
• Comprise “90% plus” of households in EUP, Bihar
  and Odisha
• Main focus of donors – small farmers
• Cannot negotiate – give the maximum margins
• Most value conscious
• Generally left out by all agencies
• Maximum market available here
Why Smallholders and Aggregation?
• Comprise “90% plus” of households in EUP,
  Bihar and Odisha
• Main focus of donors – small farmers
• Cannot negotiate – give the maximum margins
• Most value conscious
• Generally left out by agencies
• Maximum market/ scale up opportunities here
• Aggregation leads to “profitable businesses”
Examples
• Service Provider – Laser Leveller - EUP
• PACS – Noorpur Bet, Ladowal, Punjab
• Digital Green – Aggregation and Servicing
Example 1: Smallholder Aggregators
Service Provider – Laser Leveller - EUP
• Clients spread over 100 km range  loss of income in season;
• Recovering fees difficult. 8% held by large/ small recalcitrant farmers.
  Subsidy?
• Initial hub support  put off salary and alone. Limited influence.
  Intimidated to independently hold meetings in new villages for publicity.
• Flatly interested in servicing large farmers - can work on large areas,
  get paid in bulk, fewer hassles, primarily cash crops.
• Finds demand aggregation and fee collection weak areas in his
  business model.
• Willing to share 10-20% margin with any intermediary that helps him in
  aggregation of demand, fee collection and growth.
Service Provider – Laser Leveller - EUP
          Demand                    Demand Aggregation




                                          LL Service
          LL Service


 Farmer                                                      Farmer
                       Service Provider


             Fees


                                          Fees Aggregation


LARGE LANDHOLDER FOCUS           SMALL LANDHOLDER FOCUS
Demand Aggregation: NGO-CSISA
Village      Numbers        Problem in specific   Demand     Opinion of          Conclusio
Name         of             area                  estimation Villagers           n
             audience                             (acres)
Nagwa               28 Undulating Land            8.21 Acre   They want to apply Potential
(GDS)                  and small land                         new technology in
                       holdings and flood                     the field after
                                                              demonstration


Belauhi             18                            5 acre                         Less
(GDS)                                                                            Potential
Shivkot             17 Undulating Land            13 acre                        More
(GDS)                                                                            potential
Ridhiapadi              9                         8.13 acre                      More
(GDS)                                                                            potential
                                                  34 acres
GDS supported Lehra Agro Producer Company Limited board, led by its
                  Chairman Mr. Lalman Yadav
Example 2: Smallholder Aggregators




 PACS, Noorpur Bet, Ladowal, Punjab
PACS – Noorpur Bet, Ladowal, Punjab
• Primary Agriculture Cooperative Society
• Currently at a profit of Rs.35,00,000
• 6 villages – reaches out to approximate 1000 households
• 725 members - 500 agri households (50 HH>10acres,450HH<10 acres)
                - 225 non agri households
• 100 of these members don’t have tractors and use PACS tractors
•Suite of services –
              - Implements on hire (4 tractors, 2 Laser Levellers, Happy
                Seeder, Cultivators, harrows, levellers, etc)
              - Seeds and fertilizers
              - Agrochemicals,
              - Loans,
              - Fixed Deposits,
              - Household grocery items
digitalGREEN




Example 3: Smallholder Aggregators
and drying


             Post Harvest
             Storage Study
THANKS
Reach of a Laser Leveller
 Taking the maximum possible scenario:

 •A Laser Leveller can work for 12 hours/ day for 90 days = 1080
 hours
 •If it takes approx 3 hours/ acre, maximum possible is about 360
 acres
 •If the laser leveller is repeated in the same farm/ 4 years, we are
 looking at an impact of 1080 acres per laser leveller
 •Assuming that 50% of households agree to get their lands
 levelled, a laser leveller can have a maximum impact zone of 2160
 acres in its entire lifespan
 •An average sized village has land approximately of 250-500
 acres, a laser leveller can ideally work maximum in 4-5 or
 maximum 10 villages in its entire life.
What does this mean for CSISA

• Enormous task
• Small team
• Too few sCannot reach to all population even within the same district
Channels to Communicate


                    Scientific Organisations
                    Scientists

                     Business Organisations
                     Private Sector Entities

                     Information sharing organisations
                     Media

                     Financing organisations
                     Grant giving, loan giving

                     Trustworthy Organisations
                     Community Engagement

More Related Content

Similar to 23 25 jan 2013 csisa kathmandu new business models aanand

RURAL MARKETING Capital Inputs - Agriculture
RURAL MARKETING Capital Inputs - AgricultureRURAL MARKETING Capital Inputs - Agriculture
RURAL MARKETING Capital Inputs - AgricultureShahzad Khan
 
Rural marketing capital inputs Agriculture
Rural marketing capital inputs AgricultureRural marketing capital inputs Agriculture
Rural marketing capital inputs AgricultureShahzad Khan
 
Business Model - Laser Levellers
Business Model - Laser LevellersBusiness Model - Laser Levellers
Business Model - Laser LevellersCSISA
 
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak Sharma
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak SharmaMOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak Sharma
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak SharmaDeepak Sharma
 
Groundwater Management: Experiences of WASSAN
Groundwater Management: Experiences of WASSANGroundwater Management: Experiences of WASSAN
Groundwater Management: Experiences of WASSANIndia Water Portal
 
Vanraj tractor case analysis
Vanraj tractor case analysis Vanraj tractor case analysis
Vanraj tractor case analysis Chintan Gondalia
 
Large scale land acquisitions and responsible investment in Africa
Large scale land acquisitions and responsible investment in AfricaLarge scale land acquisitions and responsible investment in Africa
Large scale land acquisitions and responsible investment in Africafutureagricultures
 
RURAL MARKETING CAPITAL INPUTS - AGRICULTURE
RURAL MARKETINGCAPITAL INPUTS - AGRICULTURERURAL MARKETINGCAPITAL INPUTS - AGRICULTURE
RURAL MARKETING CAPITAL INPUTS - AGRICULTUREShahzad Khan
 
Viable opportunities in the fight against pollution
Viable opportunities in the fight against pollutionViable opportunities in the fight against pollution
Viable opportunities in the fight against pollutionKasturika R
 
27 April 2012 - Innovation @ CSISA in USAID
27 April 2012 - Innovation @ CSISA in USAID27 April 2012 - Innovation @ CSISA in USAID
27 April 2012 - Innovation @ CSISA in USAIDCSISA
 
Organic fertilizer plant business proposal
Organic fertilizer plant  business proposalOrganic fertilizer plant  business proposal
Organic fertilizer plant business proposalSumitRoy122
 

Similar to 23 25 jan 2013 csisa kathmandu new business models aanand (20)

RURAL MARKETING Capital Inputs - Agriculture
RURAL MARKETING Capital Inputs - AgricultureRURAL MARKETING Capital Inputs - Agriculture
RURAL MARKETING Capital Inputs - Agriculture
 
Kbl water pumps
Kbl   water pumpsKbl   water pumps
Kbl water pumps
 
Rural marketing capital inputs Agriculture
Rural marketing capital inputs AgricultureRural marketing capital inputs Agriculture
Rural marketing capital inputs Agriculture
 
Business Model - Laser Levellers
Business Model - Laser LevellersBusiness Model - Laser Levellers
Business Model - Laser Levellers
 
were45
were45were45
were45
 
Assessing Models of Public-Private Partnership for Irrigation Development in ...
Assessing Models of Public-Private Partnership for Irrigation Development in ...Assessing Models of Public-Private Partnership for Irrigation Development in ...
Assessing Models of Public-Private Partnership for Irrigation Development in ...
 
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak Sharma
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak SharmaMOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak Sharma
MOOC - ELD Final Project Draft - Soil Regeneration Group - Deepak Sharma
 
Nirman odisha
Nirman odishaNirman odisha
Nirman odisha
 
Nirman odisha
Nirman odishaNirman odisha
Nirman odisha
 
Groundwater Management: Experiences of WASSAN
Groundwater Management: Experiences of WASSANGroundwater Management: Experiences of WASSAN
Groundwater Management: Experiences of WASSAN
 
Sasya Syamalam
Sasya Syamalam Sasya Syamalam
Sasya Syamalam
 
Vanraj tractor case analysis
Vanraj tractor case analysis Vanraj tractor case analysis
Vanraj tractor case analysis
 
Large scale land acquisitions and responsible investment in Africa
Large scale land acquisitions and responsible investment in AfricaLarge scale land acquisitions and responsible investment in Africa
Large scale land acquisitions and responsible investment in Africa
 
Ampppida tanzania presentation for accra workshop
Ampppida tanzania presentation for accra workshopAmpppida tanzania presentation for accra workshop
Ampppida tanzania presentation for accra workshop
 
Custom Hiring Centre
Custom Hiring CentreCustom Hiring Centre
Custom Hiring Centre
 
RURAL MARKETING CAPITAL INPUTS - AGRICULTURE
RURAL MARKETINGCAPITAL INPUTS - AGRICULTURERURAL MARKETINGCAPITAL INPUTS - AGRICULTURE
RURAL MARKETING CAPITAL INPUTS - AGRICULTURE
 
Viable opportunities in the fight against pollution
Viable opportunities in the fight against pollutionViable opportunities in the fight against pollution
Viable opportunities in the fight against pollution
 
27 April 2012 - Innovation @ CSISA in USAID
27 April 2012 - Innovation @ CSISA in USAID27 April 2012 - Innovation @ CSISA in USAID
27 April 2012 - Innovation @ CSISA in USAID
 
Organic fertilizer plant business proposal
Organic fertilizer plant  business proposalOrganic fertilizer plant  business proposal
Organic fertilizer plant business proposal
 
AgWater Solutions: Unlocking the potential for smallholder agriculture
AgWater Solutions: Unlocking the potential for smallholder agricultureAgWater Solutions: Unlocking the potential for smallholder agriculture
AgWater Solutions: Unlocking the potential for smallholder agriculture
 

More from CSISA

Csisa obj 1 wp.ktm.jan.13
Csisa obj 1 wp.ktm.jan.13Csisa obj 1 wp.ktm.jan.13
Csisa obj 1 wp.ktm.jan.13CSISA
 
23 25 jan 2013 csisa kathmandu service provider survey aanand
23  25 jan 2013 csisa kathmandu service provider survey aanand23  25 jan 2013 csisa kathmandu service provider survey aanand
23 25 jan 2013 csisa kathmandu service provider survey aanandCSISA
 
23 25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...
23  25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...23  25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...
23 25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...CSISA
 
23 25 jan 2013 csisa kathmandu arun joshi
23  25 jan 2013 csisa kathmandu arun joshi23  25 jan 2013 csisa kathmandu arun joshi
23 25 jan 2013 csisa kathmandu arun joshiCSISA
 
23 25 jan 2013 csisa kathmandu b ihar eup impact pathway andy
23  25 jan 2013 csisa kathmandu b ihar eup impact pathway andy23  25 jan 2013 csisa kathmandu b ihar eup impact pathway andy
23 25 jan 2013 csisa kathmandu b ihar eup impact pathway andyCSISA
 
23 25 jan 2013 csisa kathmandu engaging sh gs ilri arindam
23  25 jan 2013 csisa kathmandu engaging sh gs ilri arindam23  25 jan 2013 csisa kathmandu engaging sh gs ilri arindam
23 25 jan 2013 csisa kathmandu engaging sh gs ilri arindamCSISA
 
23 25 jan 2013 csisa kathmandu gender kamala
23  25 jan 2013 csisa kathmandu gender kamala23  25 jan 2013 csisa kathmandu gender kamala
23 25 jan 2013 csisa kathmandu gender kamalaCSISA
 
23 25 jan 2013 csisa kathmandu ict possibilities poornima
23  25 jan 2013 csisa kathmandu ict possibilities poornima23  25 jan 2013 csisa kathmandu ict possibilities poornima
23 25 jan 2013 csisa kathmandu ict possibilities poornimaCSISA
 
23 25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz
23  25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz23  25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz
23 25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawazCSISA
 
23 25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne
23  25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne23  25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne
23 25 jan 2013 csisa kathmandu obj 1 planning- big picture etienneCSISA
 
23 25 jan 2013 csisa kathmandu odisha c.m. khanda
23  25 jan 2013 csisa kathmandu odisha c.m. khanda23  25 jan 2013 csisa kathmandu odisha c.m. khanda
23 25 jan 2013 csisa kathmandu odisha c.m. khandaCSISA
 
23 25 jan 2013 csisa kathmandu partnership issues noel
23  25 jan 2013 csisa kathmandu partnership issues noel23  25 jan 2013 csisa kathmandu partnership issues noel
23 25 jan 2013 csisa kathmandu partnership issues noelCSISA
 
23 25 jan 2013 csisa kathmandu ph assessment bihar al schmidley
23  25 jan 2013 csisa kathmandu ph assessment bihar al schmidley23  25 jan 2013 csisa kathmandu ph assessment bihar al schmidley
23 25 jan 2013 csisa kathmandu ph assessment bihar al schmidleyCSISA
 
23 25 jan 2013 csisa kathmandu ppp dealer training ravikanth
23  25 jan 2013 csisa kathmandu ppp dealer training ravikanth23  25 jan 2013 csisa kathmandu ppp dealer training ravikanth
23 25 jan 2013 csisa kathmandu ppp dealer training ravikanthCSISA
 
23 25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....
23  25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....23  25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....
23 25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....CSISA
 
23 25 jan 2013 csisa kathmandu ssnm ipni kaushik
23  25 jan 2013 csisa kathmandu ssnm ipni kaushik23  25 jan 2013 csisa kathmandu ssnm ipni kaushik
23 25 jan 2013 csisa kathmandu ssnm ipni kaushikCSISA
 
23 25 jan 2013 csisa kathmandu technology adoption takashi
23  25 jan 2013 csisa kathmandu technology adoption takashi23  25 jan 2013 csisa kathmandu technology adoption takashi
23 25 jan 2013 csisa kathmandu technology adoption takashiCSISA
 
23 25 jan 2013 csisa kathmandu agro-advisory services surabhi
23  25 jan 2013 csisa kathmandu agro-advisory services surabhi23  25 jan 2013 csisa kathmandu agro-advisory services surabhi
23 25 jan 2013 csisa kathmandu agro-advisory services surabhiCSISA
 
Conservation Agriculture - Sense & Non Sense
Conservation Agriculture - Sense & Non SenseConservation Agriculture - Sense & Non Sense
Conservation Agriculture - Sense & Non SenseCSISA
 
CS SIMLESA Mozambique
CS SIMLESA MozambiqueCS SIMLESA Mozambique
CS SIMLESA MozambiqueCSISA
 

More from CSISA (20)

Csisa obj 1 wp.ktm.jan.13
Csisa obj 1 wp.ktm.jan.13Csisa obj 1 wp.ktm.jan.13
Csisa obj 1 wp.ktm.jan.13
 
23 25 jan 2013 csisa kathmandu service provider survey aanand
23  25 jan 2013 csisa kathmandu service provider survey aanand23  25 jan 2013 csisa kathmandu service provider survey aanand
23 25 jan 2013 csisa kathmandu service provider survey aanand
 
23 25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...
23  25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...23  25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...
23 25 jan 2013 csisa kathmandu acclerated mechanisation lessons from banglad...
 
23 25 jan 2013 csisa kathmandu arun joshi
23  25 jan 2013 csisa kathmandu arun joshi23  25 jan 2013 csisa kathmandu arun joshi
23 25 jan 2013 csisa kathmandu arun joshi
 
23 25 jan 2013 csisa kathmandu b ihar eup impact pathway andy
23  25 jan 2013 csisa kathmandu b ihar eup impact pathway andy23  25 jan 2013 csisa kathmandu b ihar eup impact pathway andy
23 25 jan 2013 csisa kathmandu b ihar eup impact pathway andy
 
23 25 jan 2013 csisa kathmandu engaging sh gs ilri arindam
23  25 jan 2013 csisa kathmandu engaging sh gs ilri arindam23  25 jan 2013 csisa kathmandu engaging sh gs ilri arindam
23 25 jan 2013 csisa kathmandu engaging sh gs ilri arindam
 
23 25 jan 2013 csisa kathmandu gender kamala
23  25 jan 2013 csisa kathmandu gender kamala23  25 jan 2013 csisa kathmandu gender kamala
23 25 jan 2013 csisa kathmandu gender kamala
 
23 25 jan 2013 csisa kathmandu ict possibilities poornima
23  25 jan 2013 csisa kathmandu ict possibilities poornima23  25 jan 2013 csisa kathmandu ict possibilities poornima
23 25 jan 2013 csisa kathmandu ict possibilities poornima
 
23 25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz
23  25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz23  25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz
23 25 jan 2013 csisa kathmandu lessons from scaleup of zt bihar shahnawaz
 
23 25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne
23  25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne23  25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne
23 25 jan 2013 csisa kathmandu obj 1 planning- big picture etienne
 
23 25 jan 2013 csisa kathmandu odisha c.m. khanda
23  25 jan 2013 csisa kathmandu odisha c.m. khanda23  25 jan 2013 csisa kathmandu odisha c.m. khanda
23 25 jan 2013 csisa kathmandu odisha c.m. khanda
 
23 25 jan 2013 csisa kathmandu partnership issues noel
23  25 jan 2013 csisa kathmandu partnership issues noel23  25 jan 2013 csisa kathmandu partnership issues noel
23 25 jan 2013 csisa kathmandu partnership issues noel
 
23 25 jan 2013 csisa kathmandu ph assessment bihar al schmidley
23  25 jan 2013 csisa kathmandu ph assessment bihar al schmidley23  25 jan 2013 csisa kathmandu ph assessment bihar al schmidley
23 25 jan 2013 csisa kathmandu ph assessment bihar al schmidley
 
23 25 jan 2013 csisa kathmandu ppp dealer training ravikanth
23  25 jan 2013 csisa kathmandu ppp dealer training ravikanth23  25 jan 2013 csisa kathmandu ppp dealer training ravikanth
23 25 jan 2013 csisa kathmandu ppp dealer training ravikanth
 
23 25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....
23  25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....23  25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....
23 25 jan 2013 csisa kathmandu segmenting training priorities k ambij and v....
 
23 25 jan 2013 csisa kathmandu ssnm ipni kaushik
23  25 jan 2013 csisa kathmandu ssnm ipni kaushik23  25 jan 2013 csisa kathmandu ssnm ipni kaushik
23 25 jan 2013 csisa kathmandu ssnm ipni kaushik
 
23 25 jan 2013 csisa kathmandu technology adoption takashi
23  25 jan 2013 csisa kathmandu technology adoption takashi23  25 jan 2013 csisa kathmandu technology adoption takashi
23 25 jan 2013 csisa kathmandu technology adoption takashi
 
23 25 jan 2013 csisa kathmandu agro-advisory services surabhi
23  25 jan 2013 csisa kathmandu agro-advisory services surabhi23  25 jan 2013 csisa kathmandu agro-advisory services surabhi
23 25 jan 2013 csisa kathmandu agro-advisory services surabhi
 
Conservation Agriculture - Sense & Non Sense
Conservation Agriculture - Sense & Non SenseConservation Agriculture - Sense & Non Sense
Conservation Agriculture - Sense & Non Sense
 
CS SIMLESA Mozambique
CS SIMLESA MozambiqueCS SIMLESA Mozambique
CS SIMLESA Mozambique
 

23 25 jan 2013 csisa kathmandu new business models aanand

  • 1. New Business Models Demand Aggregation and Services for Smallholders Examples Aanand Kumar Kathmandu Jan 23, 2013
  • 2. 10 Minute Agenda • Why Smallholders • Why Aggregation • Examples of Work Done
  • 3. Why Smallholders? • Comprise “90% plus” of rural households in EUP, Bihar and Odisha • Main focus of donors – small farmers • Cannot negotiate – give the maximum margins • Most value conscious • Generally left out by all agencies • Maximum market available here
  • 4. Rural Households Vs Land Operated Resource Poor Farmers Aggregation of Households Land Aggregation of Land
  • 5. Why Smallholders? • Comprise “90% plus” of households in EUP, Bihar and Odisha • Main focus of donors – small farmers • Cannot negotiate – give the maximum margins • Most value conscious • Generally left out by all agencies • Maximum market available here
  • 6.
  • 7. Why Smallholders and Aggregation? • Comprise “90% plus” of households in EUP, Bihar and Odisha • Main focus of donors – small farmers • Cannot negotiate – give the maximum margins • Most value conscious • Generally left out by agencies • Maximum market/ scale up opportunities here • Aggregation leads to “profitable businesses”
  • 8. Examples • Service Provider – Laser Leveller - EUP • PACS – Noorpur Bet, Ladowal, Punjab • Digital Green – Aggregation and Servicing
  • 10. Service Provider – Laser Leveller - EUP • Clients spread over 100 km range  loss of income in season; • Recovering fees difficult. 8% held by large/ small recalcitrant farmers. Subsidy? • Initial hub support  put off salary and alone. Limited influence. Intimidated to independently hold meetings in new villages for publicity. • Flatly interested in servicing large farmers - can work on large areas, get paid in bulk, fewer hassles, primarily cash crops. • Finds demand aggregation and fee collection weak areas in his business model. • Willing to share 10-20% margin with any intermediary that helps him in aggregation of demand, fee collection and growth.
  • 11. Service Provider – Laser Leveller - EUP Demand Demand Aggregation LL Service LL Service Farmer Farmer Service Provider Fees Fees Aggregation LARGE LANDHOLDER FOCUS SMALL LANDHOLDER FOCUS
  • 12. Demand Aggregation: NGO-CSISA Village Numbers Problem in specific Demand Opinion of Conclusio Name of area estimation Villagers n audience (acres) Nagwa 28 Undulating Land 8.21 Acre They want to apply Potential (GDS) and small land new technology in holdings and flood the field after demonstration Belauhi 18 5 acre Less (GDS) Potential Shivkot 17 Undulating Land 13 acre More (GDS) potential Ridhiapadi 9 8.13 acre More (GDS) potential 34 acres
  • 13.
  • 14. GDS supported Lehra Agro Producer Company Limited board, led by its Chairman Mr. Lalman Yadav
  • 15. Example 2: Smallholder Aggregators PACS, Noorpur Bet, Ladowal, Punjab
  • 16.
  • 17. PACS – Noorpur Bet, Ladowal, Punjab • Primary Agriculture Cooperative Society • Currently at a profit of Rs.35,00,000 • 6 villages – reaches out to approximate 1000 households • 725 members - 500 agri households (50 HH>10acres,450HH<10 acres) - 225 non agri households • 100 of these members don’t have tractors and use PACS tractors •Suite of services – - Implements on hire (4 tractors, 2 Laser Levellers, Happy Seeder, Cultivators, harrows, levellers, etc) - Seeds and fertilizers - Agrochemicals, - Loans, - Fixed Deposits, - Household grocery items
  • 18.
  • 20.
  • 21. and drying Post Harvest Storage Study
  • 23. Reach of a Laser Leveller Taking the maximum possible scenario: •A Laser Leveller can work for 12 hours/ day for 90 days = 1080 hours •If it takes approx 3 hours/ acre, maximum possible is about 360 acres •If the laser leveller is repeated in the same farm/ 4 years, we are looking at an impact of 1080 acres per laser leveller •Assuming that 50% of households agree to get their lands levelled, a laser leveller can have a maximum impact zone of 2160 acres in its entire lifespan •An average sized village has land approximately of 250-500 acres, a laser leveller can ideally work maximum in 4-5 or maximum 10 villages in its entire life.
  • 24. What does this mean for CSISA • Enormous task • Small team • Too few sCannot reach to all population even within the same district
  • 25. Channels to Communicate Scientific Organisations Scientists Business Organisations Private Sector Entities Information sharing organisations Media Financing organisations Grant giving, loan giving Trustworthy Organisations Community Engagement