Date post: | 16-Apr-2017 |
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Digital Agriculture –
A key enabler for
nutritional security
and SDGs David J Bergvinson, DG ICRISAT
ICRISAT’s holistic approach to the agricultural R4D value chain
Cross-cutting issues
Mainstreaming nutrition
Empowering women – women are consulted,
involved and supported to lead
Attracting youth to agriculture
Approach for Adoption
Participatory approach and partnering –
working side by side
Building capacity – at a national and
local level
Integrating communications - to
build awareness and share knowledge
Monitoring and evaluation – for
feedback and adjustment
Policy support – work closely with
government to encourage the
needed policies
Developing
on-farm practices and technologies
Analyzing key problems
and opportunities
Managing
soil and water
Crop Improvement
& seed Access
Diversifying Farms
Introducing
processing
Facilitating
market access
Driving market development
Pyramid of Economic Opportunity
Majority of smallholder farmers with limited access to relevant information and market knowledge to increase profitability
>500 million
International processors and markets
National processors
National warehouses
National aggregators
Regional aggregators
Local aggregators
100s
Local value addition $$$$
Local storage $$
Mobile offers a platform for information symmetry and connecting farmers to higher value markets and unit prices
Indian Agriculture – a quick reality check • India is characterized by small farm holdings.
‒ 80% land holdings less than 2 ha(5 acres) ‒ 55% of India’s population engaged in Agriculture ‒ Farming non-remunerative: > 50% farmers in India in
debt. ‒ Farmers capital constrained for investing in
Mechanization. ‒ Children of farmers opt out of farming : Average age of
farmers globally is 60 years. • Farming is more riskier
‒ Volatility in prices (Markets) ‒ Unpredictable Monsoon (Monsoons) ‒ Many new risks emerging
• Policy focussed mainly on Productivity
Agriculture is a High Risk Activity
Agriculture Risk
Production Risk
Weather
labour
knowledge
Quality Inputs
Access to Credit
Post Harvest Risks
Storage
Market Risk
Market Information
Access to
Market Price
Volatility
Ecological Risk
Limited Land
Limited Water
• Climate Change will cause more uncertainty
•Mechanization mitigates labour shortage but funding is constrained.
• Traditional Agriculture extension systems are inadequate and lack depth to help farmers deal with exigencies like pests, disease etc
• Timely access to quality seeds and fertilizers is still unreliable
•Most farmers lack access to structured credit markets making them a prey for the money lenders
• India loses about one third farm produce for want of quality storage
•High levels of Information asymmetry due to variety of reasons
•Access to markets is still a challenge due to high transportation costs
• Price Volatility tends to benefit only speculators
•Rapidly degrading land and soil health pose a challenge to ecology and future productivity.
•Declining Ground water table and erratic rainfall poses a serious challenge to reliable source of water for irrigation
Risk Mitigation • Mechanization can address just one of the many risks that have been listed. • To mitigate most of the risks faced by agriculture today, technology adoption is imperative. • Some technologies that could be disruptive in the sphere of agriculture are
• Remote Sensing • Drones/Unmanned Aerial Vehicles • Big Data and Analytics • Mobile Soil Testing Laboratories • Soil Health Cards • Digital Soil Maps • Mobile Money/digital wallets • National Identity Databases ( Aadhaar) • Mobile Phones • E-Commerce • Plant Sensors
• Digital Technologies have the potential to create equitable opportunities for Small Holder
Farmers to realize their full potential by leveraging technologies along the Agriculture Value Chain
• These technologies address populations that were bypassed in the analogue era - especially Women and Youth
• Digitization along the agricultural value chain maximizes benefits to the two ends of the value chain - Farmers and the Consumers
What is Digital Agriculture?
• Digital Agriculture - ICT and data ecosystems to support the development and delivery of timely, targeted information and services to make farming profitable and sustainable while delivering safe nutritious and affordable food for ALL.
• Technical Definition: Leveraging digital technologies (cloud, mobile, remote sensing, sensors, bioinformatics and systems biology – and others) to support demand-driven innovation of sustainable and equitable interventions for ecological intensification of modern food systems.
The Vision Enhancing agriculture productivity to meet the
nutritional needs in an environmentally sustainable way while enhancing
the capacity of smallholder farmers to manage risk
Strategy 1: Self-sufficiency in pulse production
• Short term (3-5 years) – expand the area under pulses (rice fallows and increasing cropping intensity through intercropping)
• Medium term (5-7 years) – intensification through increasing productivity by using high-yielding cultivars developed using molecular breeding, mechanization to increase local processing and storage, and further increases in water and nutrient use efficiency.
• Long-term (>7 years) – research in high-end areas such as gene editing (eg CRISPR Cas9), expanded use of systems biology to improve nutritional quality and climate resilience of pulses.
Digital Agriculture: geospatial mapping and targeting of pulse varieties based on soil, cropping system, markets, labor/mechanization/storage logistics, spot and e-markets, knowledge exchange
Multi-year, cycle, location
testing
Integrated database, analysis,
and advancement tools Integrate pedigree database
Germplasm management inventory
Multi-year trial analysis
Inbred characterization (phenotypes and genotypes)
Early recycling and early discarding
Fix & Produce
Select Parents
Select Individuals
Characterize Diverse Genetic
Resources
Identify & recombine superior
genotypes
Multi-year test, select, and
advance the best lines
Parental
Selection Tool: Pedigree Inventory and
Verification system
QC, Genetic Similarity
Germplasm Classification,
Characterization
META Inbreds
BLUP, GBLUP
MAS/GS Tool MABC, MARS
Forward Breeding Haplotypes
QTL Mapping & GWAS
Genome wide Prediction and Selection
Integration of Genomic Information
Scale, Capability,
Decision Support,
Operation,
Management Newly improved
lines
1. Quality, cost effective data collection (Collaboration)
2. Effective data management and curation (Phase1)
3. Efficient workflows and accurate analysis pipelines (Phase 2)
4. User friendly and comprehensive decision support tools (Phase 3)
Strategy 2: Enhancing water use efficiency on farms
• Zonal crop planning based on rainfall and hydrology • Hydrology studies and aquifer mapping ensure
recharging through strategic placement of rainwater harvesting structures.
• Enhancing water use efficiency through conjunctive use of green and blue water efficiently.
• Accelerated irrigation benefits can be achieved by reducing transmission losses and by adopting the goal of “zero flood irrigation by 2020”
Drip irrigation of pigeonpea
Digital Agriculture: remote sensing to generate hydrological maps, provide down-scaled weather data, optimize retension and irrigation schemes. Mobile-enabled water meters to manage and value water. Sensor networks to optimize drip irrigation.
Strategy 3: Soil health mapping • Farm profitability can be increased
up to 120% using soil test-based fertilizer recommendations.
• Generation of digital soil maps for the country.
• Develop and adopt new fertilizer recommendation strategy based on soil health mapping for different crops and cropping seasons.
Digital Agriculture: Digital soil maps to support site-specific recommendations, mobile-enabled delivery of fertilizer subsidy to farmers to improve soil health and economics of production.
Strategy 4: Transforming agriculture markets
• Develop a ICT-based national agriculture market
• Digitalize and network all markets using ICT. Improved e-trading, computerized billing end to end process.
• Establishment of improved testing and grading systems
• Developing forward and backward linkages of markets through Farmer Producer organizations. Digital Agriculture: value chain logistics to compress transaction costs, spot and e-markets to push value to farmers and consumers, traceability for food safety, knowledge exchange to improve nutrition.
Strategy 5: Weather-based crop insurance
• Establishing pilots with quality automatic weather stations representing several farmers’ fields in one village or a cluster of villages is the key for weather index based insurance
• The Farm Livelihood Obligation Fund (FLO-F) would envisage creating an initial pool for public sector insurance companies to enable premium payments.
• Weather-based crop insurance to be integrated with the electronic platform facilitating transactions in National Agricultural Market.
Digital Agriculture: down-scaled weather supported by remote sensing (radar) and sensor networks to trigger crop surveys; terrestrial validation using mobile and advanced image analytics; payment to DBT and mobile money accounts tracked by Aadhaar to ensure those cultivating the land can manage production risks as weather variability increases – pockets of drought, flooding and hail.
Strategy 6: Digital agriculture
• Spatial (and Temporal) Data Infrastructure (SDI) = Smart Development Infrastructure and low-cost smart phones and tablets to support the bi-directional flow of data and information to rural consumers.
• Increase value chain efficiency for upstream access to appropriate inputs and credit; targeted recommendations to improve productivity through to market integration based on agreed grades, standards and prices.
• ICT can help target and validate subsidies to increase farm profitability and manage production and market risks that in turn give famers confidence to invest in their farms to further increase productivity.
Digital Agriculture: India is uniquely positioned with Aadhaar infrastructure to offer personalized interventions to farmer families by leveraging mobile, and SDI to increase farm profitability, sustainability and equity to support a modern and nutritious food system.
Fertilizer Usage Data
Down streamed Weather Data
Market Information (mandi prices)
Water Availability
Soil Health Data
High resolution map to anchor the data based on Lat and Long
Artificial Intelligence
Engine
International Commodity
Markets
Agriculture Input markets
Crop recommendations Fertilizer recommendations Policy recommendations
Monitoring and Evaluation Engine
Aadhar database Planning and
Budgeting
State Finance Dept.
The layers that underlie the farm field represent the notion that visual mapping
would allow the farmer, and the farmer's advisors, to see meaningful
correlations to inform future decisions
What do we want to achieve
Bio-informatics/Systems Biology
Co-ordination/ Collaboration
MOOCs & Advisory
E-Commerce
Financial Services
Ecosystem of Integrated services offered through public- and private-sector providers, civil society
and farmers organizations Demand-driven innovation supported
by rapid feedback loops
Crop improvement
Inputs and farmer services Post-harvest handling and access to markets Research and development
Discovery Agronomic
research Fertilizer/irrigation/ Other input systems
Farm management
Seed systems
Knowledge exchange
Aggregation, quality and
storage
End-user demand
Processing
Cloud-enabled Geospatial/Temporal Data Infrastructure
Digital agriculture to support equitable value chains
Global Unique Identifier Database (e.g. Aadhaar, Service Providers)
Leverage location and time to
drive market insight
R&D for accelerated genetic
gains and improved nutrition
Mobile
Enabling policy environment (e.g. Big Data Governance to protect Personal Information)
ICRISAT is a member of the CGIAR Consortium
Please join us in
improving the lives
of smallholder
farmers through
demand-driven
innovation
supported by
Digital Agriculture