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ICRISAT Global Planning Meeting 2019: Digital Agriculture and Youth by Ram Dhulipala and team

  1. An overarching framework to understand digital agriculture and emerging business models
  2. What
  3. Porter’s Value Chain Framework Competitive Advantage by Porter (1985) • Corporate success driven by linkages • Linkages enable seamless cooperation and information flow • High transaction costs and co- ordination costs weaken linkages* • Challenges for farm as an ag enterprise • Technology Development/R&D mostly through public institutions • All activities other than operations dispersed across public and private institutions • Weak bargaining position and high transaction & co-ordination costs • Many variables within operations/production Eg. Weather Farmer Government Private Sector Consumers Research & Extension Land, Water, Machinery, etc Self, Family, Farm Labour SAUs, Public Institutions, private sector Govts, Agriculture Dept Fellow farmers/Community
  4. Canvas for ICTs 4 Ag Knowledge Intermediaries Government Departments Distribution Channels Ag Marketing Structures Research2Farmer (R2F) Government2Farmer (G2F) Private2Farmer (P2F) Farmers2Consumers (F2C) • Extension • KVKs • NGOs • Federal vs State • Multiple Departments • Subsidies • Mostly input companies – fertilizers, seed, pesticides companies • ICT enabled innovation happening -Evolutionary & revolutionary • Knowledge seen as a means to build customer loyalty • Lot of ICT innovation • Market linkages is a very broad term – processor, aggregator, retailer, end customer • New business models emerging – ICT is a critical enabler • Precision farming • Irrigation Automation • Data driven farming Operations Peer to Peer collaboration platforms • Community learning • Aggregation models • FPOs
  5. Innovation Spectrum of digital agriculture Digitization (evolutionary) Disruption (Revolutionary) • Mainly three themes ‒ Disintermediation ‒ Uberization ‒ Expert Systems – AI, ML and Big Data • Digitization of supply chain ‒ No structural changes • Disintermediation and Uberization impact commercial aspects of agriculture • Expert systems enable computers impacts human computer interaction – offers mass customization • Six Broad areas/themes • Research – extension – farmer linkages • Peer to peer collaboration • Governance to Farmer engagement platforms • Risk assessment and monitoring platforms • Market linkage platforms • Agriculture operations
  6. How “ Fall in love with the problem, not the solution” – Uri Levine, founder of Waze
  7. launched on February 13, 2017 to accelerate opportunities for agri-tech in India ICRISAT’s digital agriculture innovation platform • Incubators are traditionally means of scaling out – peripheral departments within organizations • Incubation as a means to provision and research/learn about Digital Ag • DA products and services development and provisioning needs an ecosystem of diverse institutions • Ihub provides ICRISAT researchers’ access to cutting edge innovations from IT eg. Drones, IOT, AI, Big Data, block chain etc • Ihub facilitating digital transformation of ICRISAT’s projects – sourcing innovation
  8. KALGUDI Intello Labs TITSC
  9. Our Portfolio and Achievements
  10. Portfolio and updates  Intelligent Systems Advisory Tool (iSAT) and Sowing App for climate risk management in collaboration with Microsoft and SACSA  Nearly 4,000 farmers receiving advisories from pilot  Positioned DA to propose weather forecast based agro-met advisories to farmers  Co-developed MEASURE, a web and mobile based platform for ICRISAT’s M&E needs in collaboration with Verdentum  Ten projects of ICRISAT using MEASURE for M&E.  Demand from other institutions Eg. ILRI (AVCD), TAAT etc  Platform has nearly 400k records.  Exploring use of AI, ML to develop deeper insights  Digital Seed Catalogue and Roadmap tool developed and maintained with support from TL III and HOPE 2 projects  Catalogue has curated information of 252 varieties across 7 crops through workshops  Continuation in AVISSA  agSKILLed – mobile app to launch MOOCs courses
  11. Achievements  Ihub brand well established and recognized • Private capital - PEAT Gmbh ( 5 Mn Euros) and PALS Global ( 5 Mn USD) • Impact at scale – Plantix (7 Mn +), Kalgudi (2 Mn +), KhethiNext (0.5 Mn +) • USAID case study and BDP commissioned Accenture review complement ihub as a radical new way of provisioning and researching Digital Agriculture  Publications/Other  2 research publications (1 peer reviewed), 3 conference papers and articles in prestigious magazines (CIO Business Review), Ethical Corp, DownToEarth  Live tracking of FAW spread with plantix and CABI will be presented at ICT4D https://plantix.net/en/live/fall-armyworm
  12. Outreach and engagement  keynote address in CII regional events (2) and invited speakers/panelists at GFIA, ICPP, IRC, GDI (Univ of Manchester), GBC, ICT4D etc  Knowledge partners (Ag track co-lead) of the annual ICT4D conference  Nurtured strong partnerships with Microsoft, Cyient, Source Trace, aWhere, CRS, CGIAR BDP, CG centers, NABARD, State Governments etc • 3 training programs in 2018/19 on IOTs in agriculture for senior officers of NABARD
  13. Learnings and research questions  Transaction fee based revenue models for disintermediation and uberization  Information is still not paid for but is valued by farmers – capacity building is still donor and govt funded  Options ?  Bundling with inputs to create brand loyalty amongst farmers  Insurance companies and financial institutions have an incentive to serve this to farmers  Agriprenuer/infomediary based business models (last mile – 1 model)  Shift in agriculture less technological and more social  Less a platform play and more a ground level game  Agriprenuers/self appointed extension agents - business development and fulfilment  FPOs can wear the hat of Agriprenuers and better positioned for success  Possible Research questions  Framework for design of Digital Agriculture for small holder systems  Role of user experience and drivers of adoption  Big data for small holder agriculture/AI in agriculture  Innovative uses of latest digital technologies Eg. Blockchain in agriculture
  14. Thank You
  15. Innovation Spectrum of digital agriculture Digitization (evolutionary) Disruption (Revolutionary) • Mainly three themes ‒ Disintermediation ‒ Uberization ‒ Expert Systems – AI, ML and Big Data • Digitization of supply chain ‒ No structural changes Static digital Content Dynamic/ Interactive Consumable Content/ Knowledge Personalized/ Contextualized/ Insights Driven • Foundational for Decision Support Systems (DSS) • On farm management tools possible only if this is available • IOTs • Plot level aerial imagery • Analytics • Investment needed in making content dynamic and consumable – knowledge engineering • Disintermediation and Uberization impact commercial aspects of agriculture • Expert systems enable computers impacts human computer interaction – offers mass customization Personalization
  16. Plan for 2019 – 21 (Asia) • ICTs for managing climate risk • iSAT and Sowing App; Mobile app for weather forecast (IITM) based agro-met advisories • Drones for Agriculture • surveying and crop health monitoring in collaboration with IDC for Karnataka • M&E modernization • MEASURE for IDC projects and Walmart • Digital Learning platforms/tools for farmers • MOOCs courses (Ground Nut and Tomato) for farmers in Andhra Pradesh • ICT based market linkages and platforms • Digitization and linkages of SERP FPOs in Andhra Pradesh • Crop Insurance • Design and deployment of digital solution to quantify agri-risk for crop insurance (OMDC)* • Collaboration with Agrifortis and Geoclidian to support service design for crop insurance sector* • AI, ML, Big Data and strategic initiatives in Agriculture • Strengthening and scaling up the plantix app in collaboration with PEAT Gmbh • Blockchain in agriculture – successful pilot with ELEVEN01 and KhethiNext • IOT based smart farm at ICRISAT • Exploratory use of ML and AI on MEASURE data and support DG’s science initiative • Mobile based soil health determination with FFEM (ihub incubate) and IDC • Engagement with NABARD and other big donors (BMGF, GIZ, CTA, WB etc)
  17. • Strengthening and enabling digital agriculture ecosystem in ESA and WCA • Continuing support of MEASURE for M&E and Digital Seed Catalogue and Roadmap tools • Accelerated Value Chain Development (AVCD) • MEASURE platform deployment and usage for M&E • Digital interventions across AVCD value chains • Accelerated Varietal Iprovement and Seed Systems for Africa (AVISSA) • MEASURE platform deployment and usage for M&E • Digital Seed Catalog and Roadmap improvements • Work on new proposals in WCA (MANOBI etc) and ESA (Digital Agriculture Hub on the lines of ihub) • Continued engagement with strategic partners and donors Plan for 2019 – 21 (Africa)
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