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IoT – A Perspective for Indian Agriculture Sector

http://coe-iot.com/ Today Indian Agriculture is a battle field out there as you can make out from the picture! And IoT mean different things to different people.Agriculture sector in India, which has so far been far-far away from technology advances, with IoT, now it comes to the forefront of technology for deploying myriad of applications.

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IoT – A Perspective for Indian Agriculture Sector

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  1. IoT - A Perspective for Indian Agriculture Sector Keynote Speech by Ravikishor Mundada Indian Technology Congress - 2016 Excellence in Engineering Practice: Networking and Collaboration 01 - 02 December 2016 JNANA JYOTHI AUDITORIUM, Central College Campus, Bangalore

  2. Battlefield of Indian Agriculture & Farming Business Ministry of Agriculture Demographics NABARD Political Impact Age Old Practices Social Culture Terrain & Environment Market Driven Contract Farming Economics Local Logistics Pricing Funds Availabi lity Core Agri- Business Farmer Producing Company Farm Management. Economic Viability? Reliable Source of Income ? Technology Loans Farming Support IoT, Mobile, Life Science, Crop Science, Soil Science Small & Marginal Farmer Subsidy Govt Aids, NGO, KVK, Univ. Local Bodies . Pawn / Local Borrowing Organic Farming Tech Start-ups Corporate Farming Co- operative Farming Return Per Acre Core Farming Farm Inputs, COP, Outputs, Cultivation Methods, Cropping Patterns. Land Resources. Input Suppliers Tech Provider

  3. Agriculture Opportunity for IoT and New Business Models IoT for Agriculture will evolve in the order of their necessity for farmers and the benefits it offers. Gamut of IoT applications that are going to evolve and soon we will see mushrooming of IoT based applications, same as you are witnessing today for the Mobile Apps. 1. Electricity / Power : SMART Grid for Remote Communities. Apps for Efficient Power Management. 2. Water Resources : SMART Irrigation. Apps for Effective Water Control . 3. Labor Productivity : SMART Harvesting - Cotton / Cashew Picking Robotic Arm as one example. 4. Challenging Terrain – Application of Drones, Remote Sensing, Monitoring. 5. Cultivation - Soil Sciences(Ph, Temp, Humidity, Nutrients analysis), On Farm Bio-Technology : Pest Control & Prevention, Growth Stage-wise / daily monitoring (Nursery, Silk Farming) 6. Mechanization - Equipments, Tools and automation. Farm Input & Out Put Side Supply Chain 7. Market & Economics - Decision Making & Predictive Tools, Trends and Consumption patterns. 8. Environment Impacts - Predictive tools for Weather; Disease Migration & crop protection 9. Policy Matters - Enabling Govt and Local Administration for enforcing the policy, implementing program , spreading awareness, online training, etc… All these innovations for real-life application are going to be evolved based on the current technology of : Cloud, Mobile, Remote Sensing, Data Analytics. Thus ‘IoT for agriculture’ phenomenon is going to ride on the convergence of technologies and an interdisciplinary field of applications. Most importantly the maturity of Agribusiness shall dictate the adoption & leveraging this technology explosion around them !

  4. Managing Agribusiness for Migrating to IoT Changing the landscape of agribusiness through a systematic and step by step building the maturity of farming community or Users. So that they are able to adapt it well. weather forecasts weather data application + weather maps weather data system farm farm performance database Product equipment system Smart Product tillers farm Mana- gement system Combine farm seed equipment system optimizing system planters Smart, harvesters connected product rain, humidity, temperature sensors seed database Product system irrigation system Field sensors seed optimization application Irrigation nodes irrigation application System of systems Evolution of IoT for Agriculture The starting point for the migration or adoption of IoT can be based on the first product chosen – some may start with Soil Science like PH and Nutrient Analysis and other through Crop-Life-Science, like crop protection and disease control, while some others through mechanized equipments like SMART harvesting etc..

  5. Managing Technology - Open Architecture & IT Infrastructure Starting with Product to Product System to the System of Systems; The IoT for Agriculture needs to evolve to provide a comprehensive Open Architecture & Infrastructure, that is then easy to deploy and use for the respective applications. Physical Object Layer Ecosystem & Collaboration Space Multi-actor approach, Governance, Security, Privacy, Business Models sensing & monitoring Agri-end users IoT integrators App/Service Developers • Integrating a multitude of IoT devices supporting the whole value chain IoT Cloud Infrastructure & Technology Providers analysis & planning control Researchers • Consortium of technology and service providers • Moving Towards data- driven farming, autonomous operations, virtualized food chains and personal nutrition. Open IoT Architecture & Infrastructure Event-driven, Configurable, Customizable Standardisation EPCIS ISO11783 • Need for the Reliable and Secured IoT Systems.

  6. SMART Agriculture using IoT – Big Picture! smart sensing & monitoring Farm Management Precision /SMART Farming BIG DATA Back End Analytics - AI SMART Dairy smart control smart analysis & planning Mechanized Cultivation & Harvesting With Acknowledgements due to WUR University

  7. Conclusion - Key Perspectives: What we are going to achieve in the end with IoT for Agriculture?  India’s Agriculture GDP or average pre-acre farm production will change substantially!! This is about just half as that of the word average!  IoT – the convergence of technologies will offer immediate productivity enhancement to Agriculture and allied businesses. Large scale adoption of SMART Farming & SMART Processing will change the way farming is done till now.  Farmers will always be connected with the farm activities - wherever you are – on the farm or off the field. India will play a major role in deploying technology IoT can be the single most driver in it’s manifestation of varied applications for farming, with promise to stay always connected.  Predictive tools and models shall lead to better control & security of Crops, Equipments, Live stock and others. Efficient resource management & better productivity due to informed decision making. Converging every bit of information from diverse fields ( life-sicence, crop-science, equipments, sensors etc..)  Minimum Control Price regime may eventually end ! Food Supply Chain can become much more predictive for the demand / supply gaps verses need for production of food. Thus facilitating the market driven fair pricing.  Zero Chemical Inputs for Food Production becomes reality. – shall have the profound impact on human life. In terms of chemical residue related disease  Protection of the Bio-diversity & Environment will be easy by optimum use of natural resource in as much quantity as minimum required for the farming.  Deployment of Technology will help in addressing multitude of challenges that has marred the agriculture sector in India today.

  8. Thank You! Ravikishor Mundada Mundada.ravi@gmail.com Smarti.agro@gmail.com

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