Digitalization of Agriculture
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The document discusses the digital transformation in agriculture, emphasizing the role of technologies such as big data, artificial intelligence, and blockchain in addressing challenges like food security, climate change, and agrarian distress. It highlights the significance of smallholder farmers and the need for comprehensive digital strategies to improve farming efficiency and profitability. Furthermore, it outlines the potential of new technologies in enabling precision agriculture and creating a sustainable agri-food system.
Digitalization of Agriculture
- 1. RESEARCH, TECHNOLOGY, DIGITIZATION BIG DATA, ARTIFICIAL INTELLIGENCE & MACHINE LEARNING, BLOCKCHAIN, INTERNET OF THINGS, CLOUD COMPUTING DIGITALIZING THE AGRICULTURE
- 2. ABOUT ME– DEEPAK PAREEK • A published author of 7 books on various technology and business subjects. • World Economic Forum honored Technology Pioneer 2018 and Expert – Digital Transformation. • Amongst top 100 Social Entrepreneur listed by National University of Singapore and DBS Foundation. • Regular speaker of global repute with honor of speaking at events of high repute including World Economic Forum Annual Meeting – Davos, World Economic Forum ASEAN - Hanoi, World Economic Forum Annual Meeting of Champions (Mini-Davos) – Tianjin, ASEAN Marketing Forum – Jakarta, Geospatial World Forum – Hyderabad, Sustainable Food Systems – Bangkok, Better Rice Initiative – Vietnam, NGTech - Salt Lake City, ITU Americas – Brazil.
- 4. TOTAL OPERATIONAL HOLDINGS IN INDIA (%)
- 5. OPERATIONAL HOLDINGS IN INDIA (HA)
- 6. AREA UNDER IRRIGATION (%)
- 7. INDEBTEDNESS OF OUR FARMERS
- 8. IS MSP MODEL SUSTAINABLE???
- 9. IS OUR AGRICULTURE SUSTAINABLE???
- 10. AGRICULTURE, A STORY OF TWO WORLDS
- 11. PRE GREEN REVOLUTION – BEFORE 1960 INPUTS SEEDS ANIMAL WASTE FARM WASTE WATER HUMAN LABOR ACTIVITIES MANUAL CLEANING RESOURCES GUNNY BAGS SILOS REACH PERISHABLES – DOMESTIC/LOCAL NON PERISHABLES – LOCAL/DOMESTIC/EX PORTS
- 12. POST GREEN REVOLUTION INPUTS SEEDS FERTILIZERS CROP PROTECTION MECHANIZATION ACTIVITIES DRYING CLEANING SORTING AGGREGATION CONVERSION RESOURCES TREATED GUNNY /POLYTHENE BAGS SILOS CHEMICAL TREATMENT COLD STORAGE & TRANSPORTATION REACH PERISHABLES – GLOBAL NON PERISHABLES – GLOBAL
- 13. CURRENT STATUS, THE IMPERFECT WORLD TODAY HUMAN CIVILIZATION IS AT THE CROSS ROADS PLAGUED BY THREE MAJOR CHALLENGES FOOD SECURITY CLIMATE CHANGE AGRARIAN DISTRESS
- 14. FOOD SECURITY WITH 0.8 BILLION PEOPLE ALREADY HUNGRY WHILE 2 BILLION MORE WILL BE ADDED BY 2050 AND ANOTHER 2 BILLION BY 2100, WRITING IS ALREADY ON THE WALL
- 15. CLIMATE CHANGE DEFORESTATION DUE TO UNSUSTAINABLE FARMING IS CONSIDERED TO BE KEY DRIVER BEHIND WORLD BECOMING LESS HABITABLE WE ARE PASSING OUR NEXT GENERATION FAR WORST THEN WHAT WE INHERITED
- 16. AGRARIAN DISTRESS SMALLHOLDER FARMERS ARE IN ENORMOUS DISTRESS DUE TO UNVIABLE OPERATIONS, LOW YIELD, UNSUSTAINABLE FARMING TODAY MOST FARMERS DON’T WANT THEIR CHILDREN TO CONTINUE FARMING
- 17. WE CAN TACKLE THESE CHALLENGES BY PRODUCING MORE FOOD WITH LESS LAND, LIMITED WATER AND FEWER RESOURCES HENCE MAKING FARMING PROFITABLE FOR SMALL HOLDER FARMERS
- 18. 1.8 BILLION SMALLHOLDER FARMERS ARE KEY TO FOOD SECURITY AS A LARGEST CULTIVATORS OF FOOD CROP, THEY MANAGE 500 MILLION FARMS BUT SMALLHOLDER FARMERS ARE IN ENORMOUS DISTRESS BECAUSE OF INSIGHT VACUUM INCREASING COST OF CULTIVATION HIGH RISK & ACCESS TO FINANCE LOW REALIZATION FROM SALES
- 19. FARMERS (LACK OF..) ACCESS TO RESOURCES RELEVANT CUSTOMIZE D INFORMATI ON ACTIONABL E INSIGHTS TO ASSIST DECISION MAKING REAL-TIME INTERVENT ION & SUPPORT PROFIT ENHANCEM ENT & RISK MITIGATIO N TOOLS SAY IN THERE OWN FUTURE ECOSYSTEM PLAYERS (LACK OF..) ACCURATE FARM & FARMER DATA LAST MILE ACCESS TO FARMERS REAL-TIME DATA OF FARMER ACTIVITIES MEANINGF UL INFORMATI ON DISSEMINA TION FARMING AUTOMATI ON & MECHANIZ ATION INTELLIGE NT INSIGHTS FROM COMPLEX DATA GAPS - IN DEVELOPING ECONOMIES
- 20. APOCALYPSE TO RE-WRITING THE FUTURE DATA DRIVEN INSIGHTFUL SCALABLE HOLISTIC DISTRIBUTED SELF-LEARNING TRANSPARENT REAL-TIME COLLABORATIVE PROFITABLE WE NEED, A TRULY SUSTAINABLE AGRIFOOD SYSTEM
- 21. CHALLENGES AGRICULTURAL DISPARITY – LOCAL CONTEXT FARMING SETUP – SIZE MATTERS PERSONALIZATION VITAL - INDIVIDUAL, ADAPTABLE, CONTEXTUAL MANY STAKEHOLDERS – DIVERSIFIED INTERESTS DEMANDING CUSTOMERS – DIFFERENT NEEDS AND INCREASED AWARENESS INFRASTRUCTURE BOTTLENECKS – BOTH DIGITAL & PHYSICAL
- 22. GOING FORWARD – FUTURE OF FOOD PRODUCTION
- 23. SMART FARMS – FUTURE OF FARMING
- 24. BREAKING THE ICE – DIGITAL TRANSFORMATION
- 25. • IS THE ECONOMIC AND SOCIETAL EFFECTS OF DIGITIZATION AND DIGITALIZATION.DIGITAL TRANSFORMATION • IS THE CONVERSION OF ANALOGUE DATA AND PROCESSES INTO A MACHINE READABLE FORMAT.DIGITIZATION • IS THE USE OF DIGITAL TECHNOLOGIES AND DATA AS WELL AS INTERCONNECTION THAT RESULTS IN NEW OR CHANGES TO EXISTING ACTIVITIES. DIGITALIZATION • ARE ICT, INCLUDING THE INTERNET, MOBILE, DEVICES, AND DATA ANALYTICS USED TO IMPROVE THE GENERATION, COLLECTION, EXCHANGE, AGGREGATION, ANALYSIS, ACCESS, SEARCHABILITY AND PRESENTATION OF DIGITAL CONTENT. DIGITAL TECHNOLOGIES DIGITAL TRANSFORMATION – DEFINITION DIGITAL TRANSFORMATION HAS BEEN A STRONG THEME IN BOTH BUSINESS AND IT OVER THE PAST FIVE YEARS AND OFTEN IS A TERM MISTAKENLY USED FOR ALMOST ANY KIND OF NEW TECHNOLOGY ADOPTION.
- 26. DIGITAL TRANSFORMATION – ENABLERS
- 27. DIGITAL TRANSFORMATION – AGRICULTURE DIGITAL TRANSFORMATION IN AGRICULTURE IS NOT JUST ABOUT TECHNOLOGY. WHILE SURELY IT IS ENABLED BY TECHNOLOGY BUT THE UNDERLYING FACT IS THAT IT IMPACTS EVERY FUNCTION IN THE AGRICULTURE ECOSYSTEM AND NEEDS AN INNOVATIVE APPROACH WITHIN AND OUTSIDE THE BOUNDARY OF BOTH ECOSYSTEM AS WELL AS ORGANIZATIONS PARTICIPATING IN THE ECOSYSTEM TO YIELD ENVISIONED BENEFITS
- 28. DIGITAL TRANSFORMATION – HUGE OPPORTUNITY FOR AGRICULTURE SECTOR THE DIGITIZED 21ST CENTURY FARM IS BECOMING A REALITY AT A RAPID PACE, THE $12 TRILLION AGRIBUSINESS INDUSTRY REMAINS IN INITIAL PHASE OF ITS DIGITAL TRANSFORMATION. THE NEXT PHASE WILL CONNECT INDIVIDUAL TECHNOLOGY PRODUCTS AND THE DATA THEY GENERATE INTO A HIGHLY INTEGRATED, EASY TO USE NETWORK OF INFORMATION, TOOLS, SYSTEMS AND SOLUTIONS TO GENERATE BETTER TANGIBLE RESULTS FOR THE FARMER, AS WELL AS FOR THE BROADER AGRICULTURE ECOSYSTEM. INDUSTRY LEADERS ACROSS THE AGRICULTURE VALUE CHAIN ARE FORMING COMPREHENSIVE DIGITAL STRATEGIES TO WIN MIND SHARE, AND WALLET SHARE, OF BOTH THE FOOD GROWERS AND FOOD CONSUMERS. THESE STRATEGIES NEED TO DELIVER THE HOLISTIC, OUTCOME-BASED SOLUTIONS THAT OUR GLOBAL FOOD SYSTEM NEED.
- 30. DIGITIZATION THE WAY FORWARD THE IMMENSE AMOUNTS OF AGRONOMIC DATA OFFER INSIGHT, UNDERSTANDING, AND QUICK LEARNINGS. DIGITAL FARMING IS PARTICULARLY REVOLUTIONARY FOR SMALLHOLDERS AS IT HAS THE POTENTIAL TO REMOVE THE CURRENT INFORMATION ASYMMETRY. TO BENEFIT FROM THE NEW DIGITAL FARMING FRAMEWORK, CERTAIN KEYWORDS ARE ALWAYS APPLICABLE: LOCAL, RELEVANT, AND PERSONAL. NEW TECHNOLOGIES CAN ALIGN WITH THIS FRAMEWORK. CONNECTING LARGE-SCALE COMPANIES (BOTH INPUT AND OUTPUT) WITH LOCAL FARMERS WILL BE MADE POSSIBLE WITH DIGITAL TECHNOLOGIES. HOWEVER, IN ORDER TO TRULY FACILITATE DIGITAL FARMING, THE FUNDAMENTAL QUESTION THAT MUST ALWAYS BE ADDRESSED IS “WHY?”
- 31. TECHNOLOGY MEGATRENDS SHAPING FUTURE OF FOOD & AGRICULTURE SECTOR DIGITIZATION BIG DATA BLOCKCHAIN AI & ML
- 32. ALL TYPES OF ORGANIZATIONS ARE GETTING IMPACTED DIFFERENTLY, DEPENDING ON THEIR EXPOSURE ANCILLARY SERVICES • BANKS • MICRO FINANCE • INSURANCE • LOGISTICS • NGOS • EXTENSION • ACADEMICS • GOVERNMENT • CERTIFICATION • WEATHER & METEOROLOGY FOOD • AGGREGATORS • COMMODITY TRADERS • FOOD PROCESSORS • INTERMEDIARIES • RETAILERS • FOOD SAFETY • FOOD PACKAGING AGRICULTURE INPUT • SEEDS • CROP NUTRIENTS • CROP PROTECTION • FARM CONSUMABLES • FARM MECHANIZATION
- 33. BIG DATA, DATA DRIVEN DECISIONS
- 34. UNDERSTANDING BIG DATA PETABYTES, EXABYTES, ZETABYTES OF DATA WHERE VOLUMES TOO GREAT FOR TYPICAL DBMS MASSIVE SETS OF UNSTRUCTURED/SEMI- STRUCTURED DATA I.E. TEXT, IMAGES, VIDEOS RAPID GENERATION OF TIME SERIES DATA I.E. PROCESS MONITORING DATA, WEATHER STREAM, SENSOR I/O, SATELLITE IMAGES VELOCITY VOLUME
- 35. UNDERSTANDING BIG DATA – 5VS VELOCITY VALUE VERACITY VARIETY VOLUME
- 36. BIG DATA IS A BIG OPPORTUNITY BIG DATA IS A BIG DEAL. MORE THAN HALF OF ENTERPRISES GLOBALLY VIEW BIG DATA AS AN OPPORTUNITY AND PLAN TO INCREASE THEIR INVESTMENTS IN BIG DATA IN THE NEXT FEW YEARS. BUT BIG DATA’S VALUE DOESN’T COME FROM THE COLLECTION OF INFORMATION; THAT’S JUST THE STARTING POINT. THE REAL VALUE OF BIG DATA COMES FROM YOUR ABILITY TO COMBINE AND ANALYZE IT – NO MATTER HOW MUCH YOU HAVE, IN ANY NUMBER OF SOURCES – TO UNCOVER NEW INSIGHTS THAT DRIVE BUSINESS VALUE. BIG DATA MAY MEAN DIFFERENT THINGS TO DIFFERENT BUSINESSES – WHETHER IT’S DEALING WITH NEW TYPES OF DATA, STREAMING, OR CONSOLIDATING EXISTING DATA THAT’S TOO LARGE TO FIT ON TRADITIONAL SYSTEMS. BUT NO MATTER HOW YOU DEFINE BIG DATA, THE CHALLENGE AND THE GOAL ARE THE SAME FOR EVERY BUSINESS: GETTING THE MOST VALUE OUT OF IT.
- 37. DATA DELUGE ENABLING PRECISION AGRICULTURE PRECISION AGRICULTURE DEMONSTRATES THAT IT IS POSSIBLE TO GENERATE A LOT OF DATA VIA FARMING MACHINERY AND COMBINE IT WITH GEOSYSTEMS, DRONES, SENSORS AND SATELLITES, MAKING IT POSSIBLE TO SUPPORT OPERATIONAL FARMING WITH LOCATION-SPECIFIC DATA TAGS. SMART FARM EQUIPMENT ALONG WITH BIG DATA ANALYTICS WILL ENABLE INSIGHTS AND OPTIMIZATION ON THE FIELD.
- 38. DATA DRIVEN DECISION MAKING – ANALYTICAL MODELS PRESCRIPTIVE ANALYTICS PREDICTIVE ANALYTICS DIAGNOSTIC ANALYTICS WHAT HAPPENED? WHAT WILL HAPPEN? HOW CAN WE MAKE IT HAPPEN? WHY DID IT HAPPEN? DESCRIPTIVE ANALYTICS VALUE DIFFICULTY
- 39. BIG DATA – BUSINESS CASES SUPPLY CHAIN OPTIMIZATION – FARM TO FORK FARM OPERATIONS MANAGEMENT SALES EXCELLENCE FOR AGRICULTURE INPUT COMPANIES REAL TIME FARMER CREDIT RATING AGRICULTURE ONLINE MARKETPLACES – OUTPUT AND INPUT
- 40. AI & ML, ACHIEVING WHERE HUMANS FAILED
- 42. MACHINES BECOMING MORE HUMAN THEN HUMAN
- 44. AI & ML BUSINESS CASES - AGRICULTURE • CROP HEALTH MONITORING USING DEEP LEARNING ALGORITHMS BASED ON REAL-TIME DATA FROM SENSORS, SATELLITE/DRONE IMAGES, ON GROUND FARMING PRACTICES AND GROUND TRUTHING TECHNIQUES.CROP MONITORING • ARTIFICIAL NEURAL NETWORKS (ANN) TO IDENTIFY POTENTIAL DEFECTS BOTH IN SOIL AND PLANTS. IMAGE PROCESSING ALGORITHMS ALONG WITH HISTORIC/CURRENT LOCAL PEST, SOIL, WEATHER AND ACTIVITY DATA IS USED FOR TRAINING ANN. PEST & SOIL DEFECT DETECTION • MACHINE LEARNING TECHNIQUES ARE USED TO CARE FOR PLANTS BY DEPLOYING UAVS & UAGS INCLUDING AUTOMATED APPLICATION OF PESTICIDES AND PLANT NUTRIENTS, ELIMINATION OF WEEDS, IRRIGATION.FARM AUTOMATION • AI ALGORITHMS ARE USED FOR PREDICTION OF YIELD, CROP QUALITY, INPUT SIDE DEMANDS, OUTPUT AGGREGATION NEEDS LEADING TO OPTIMIZATION OF SUPPLY CHAIN (INPUT & OUTPUT), POLICY INTERVENTION ETC. PREDICTIVE ANALYTICS • FARMING ACTIVITY RECOMMENDATIONS INCLUDING CROP/VARIETY SELECTION, CROP NUTRIENT/PROTECTION AND SOWING/IRRIGATION/HARVEST TIMING BASED ON DEMOGRAPHIC, AGRICULTURE AND MARKET PROFILES. RECOMMENDATION ENGINE
- 45. BLOCKCHAIN, MAKING AGRICULTURE TRANSPARENT AND FAIR
- 46. BLOCKCHAIN IS NOT BITCOIN BUT ITS ORIGINS LIE IN BITCOIN, MAKING IT A 10 YEAR OLD TESTED TECHNOLOGY. BITCOIN WAS DEVELOPED AS CRYPTOCURRENCY - A TECHNOLOGICAL ALTERNATIVE TO FIAT CURRENCIES (DOLLAR, EURO, POUND).AN ANONYMOUS “BANK OF THE INTERNET”. FINITE NUMBER OF BITCOINS SUPPOSEDLY PROVIDES GOLD-STANDARD TYPE GUARANTEE AGAINST INFLATION. BITCOIN DEPENDS ON THE BITCOIN BLOCKCHAIN TO FUNCTION AND ALL BITCOIN TRANSACTIONS ARE RECORDED ON THE BITCOIN BLOCKCHAIN. THE BLOCKCHAIN IS THE INFRASTRUCTURE UPON WHICH BITCOIN RESTS, EVERY 10 MIN A NEW BLOCK IS ADD BY “MINERS” (WHO CONSUME HUGE AMOUNTS OF ENERGY).
- 47. BLOCKCHAIN, A DISTRIBUTED LEDGER TECHNOLOGY A BLOCKCHAIN IS SIMPLY DATABASE BUT • DISTRIBUTED ACROSS THE NETWORK (INTERNET) - EVERYONE HAS A COPY • AUTO-SYNCED - EVERY COPY IS THE SAME ALMOST INSTANTLY • ENCRYPTED - ALL BLOCKS ARE ENCRYPTED WITH PRIVATE KEYS • IMMUTABLE - NO TRANSACTION CAN BE DELETED • COMMONLY OPEN AND PUBLIC - EVERYONE (AUTHORISED) CAN ADD • CONSENSUS BASED - ENSURES ONLY ONE VERSION OF THE TRUTH
- 48. HISTORY OF BIGGEST DISRUPTION AFTER INTERNET ON OCTOBER 31, 2008, SATOSHI NAKAMOTO RELEASED THE BITCOIN WHITE PAPER OUTLINING A PURELY PEER TO PEER ELECTRONIC CASH/DIGITAL ASSET TRANSFER SYSTEM. THIS IS THE FIRST POPULAR IMPLEMENTATION OF BLOCKCHAIN AND IS ATTRIBUTED AS BIRTHING TODAY’S BLOCKCHAIN INDUSTRY. SINCE THEN, ADDITIONAL BLOCKCHAINS HAVE BEEN POPULARIZED INCLUDING SMART CONTRACT TECHNOLOGY, ETHEREUM.
- 49. UNDERSTANDING WHERE TO BLOCKCHAIN
- 50. BLOCKCHAIN AGRI USECASES AGRI-INPUT E-COMMERCE • OPTIMIZED ECONOMICAL DELIVERY OF RELEVANT AGRICULTURE INPUTS AT FAIR PRICE. FARM CREDIT • EMPOWERING FARMERS BY MAKING LOW COST FINANCE REACH IN MOST OPTIMAL MANNER IN ENVIRONMENT OF TRUST. PROFITABLE REALIZATION • TRANSPARENT OUTPUT SALES ENSURE FARMERS GET WHAT THEY DESERVE. FOOD SAFETY • ENSURING THE FOOD TO PLATE IS GROWN SUSTAINABLY.
- 51. THE HOLISTIC DIGITAL VISION
- 53. A HOLISTIC SOLUTION FOR EVERY STAKEHOLDER IN AGRICULTURE ECOSYSTEM
- 54. OUR TECH-STACK
- 56. DIGITAL INNOVATION STRATEGY FUTURE BUSINESS MODEL TECHNOLOGY CONSOLIDATION MARGIN MANAGEMENT SUPPLY CHAIN OPTIMIZATION REGULATION & RISK MANAGEMENT SUSTAINABILITY & SOCIAL RESPONSIBILITY HUMAN CAPITAL ENHANCEMENT WE ASSESS YOUR INNOVATION READINESS AND BUILD A CUSTOMIZED INNOVATION STRATEGY AND TECHNOLOGY ROADMAP WITH AND FOR YOU
- 57. MAPPING PROJECTION DATA CAPTURE DELIVERY PREDICTION OUR EXPERTISE WHAT WE DELIVER RESEARCH CONSULTING TECHNOLOGY PROJECTS
- 58. “IF YOU DO NOTHING TODAY, TECHNOLOGY MEGATRENDS WILL DISRUPT YOUR MARKET ANYWAY TOMORROW.” THANK YOU! www.digi-agri.com deepak@digi-agri.com Deepak Pareek, CEO & Founder +91 98982 69489