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AgroTech Insight.pptxgERFSDRRGRDRAFGFDHFDHH
- 1. AgroTech Insight : RevolutionizingFarming with Smart Farm Management Team Members : KARM PATEL KAVISH PATEL MOX PATEL MANN PATEL NIRAVSINH PARMAR Mentor: Dr. Madhav Astik Department Faculty of Technology
- 2. Outline • Team formation •Brief Description • Value Proposition • Market Survey • Project Status • Proposed Solution • Fund Requirement • Path Forward • Reference
- 3.
- 4. TEAM Roll No. Nameof Team Member Capabilities EC133 KARM PATEL Founder of idea EC134 KAVISH PATEL Expertise in Tech and Hardware EC137 MOX PATEL Expertise in Software EC136 MANN PATEL Expertise in marking EC123 NIRAVSINH PARMAR Expertise in finance • Mentor: Dr. Madhav Astik • We are being in guidance of Dr. Madhav Astik because he is being guiding students from past many years. He has been motivating students to grow their skills in various aspects. He has been conducting Program of SSIP from past 4 years which helps student to think out of the box and help them to grow skills in every field.
- 5. What is SmartFarming ?
- 6. Brief Description • Itis a project related to transforming the approach of farming by combining sensors, data analysis, and machine learning. • New and creative solutions are used to tackle the problems and obstacles faced in modern farming. • This project helps in improving farming with an advanced Smart Farm Management System, which makes farming more productive and efficient. • This also makes it easy for farmer to make decisions.
- 7. • Innovative useof technology is done to make the project, easier and sustainable for the farmers. • Smart use of sensors, data analysis, drone and smart learning is done to make the farming efficient. • Offering instant information, smart resource use, increased productivity, and better decision making for eco-friendly farming, are some of the features of our project, which will support the farmers. Brief Description
- 8. Value proposition • Thegoal of this project is to maximize farm efficiency through data- driven insights and automation, which help boost productivity, profitability and environmental sustainability. • Our system cuts the farmers work done, by automating irrigation and monitoring the pests. • This would give them more time to focus on manage this farms, making smart decisions, which lead to better work-life balance for the farmers. • Our project focuses on revolutionizing agriculture by increasing food production, enhancing sustainability, and strengthening farming communities, which would contribute to the well-being of society and the planet as a whole.
- 9. Market Survey • Thereare several smart farm management systems available in the market that offer similar functionalities. • Examples include FarmLogs, Trimble Ag Software, and AgriWebb. Each of these systems has its own set of features and capabilities tailored to the needs of farmers. • These companies provides IoT based technology to the famers through application and providing facility of employes which teaches farmers.
- 10. • We focuson helping farm of all size, from small family-run operations to large-scale agricultural businesses. • Our goal is to offer the innovative solutions that boost productivity, minimize waste and promote sustainable farming practices. • Our system is tailored for farm owners, managers and agricultural professionals and prioritize orderliness, sustainability and embrace innovation technical solution. • They are the ones most likely to see the value for this benefits. Market Survey
- 11. 16% 84% India Smart Farming ManualFarming 30% 70% World Smart Farming Manual Farming
- 12. 31% 21% 21% 17% 10% India TCS AgroStar CroplnAgNext Fasal 45% 22% 19% 13% World John Deere Trimble Agriculture CNH Industrial Bayer AG
- 13. CURRENT STAGE &NEXT STAGE
- 14. CURRENT STAGE • Ourinnovative approach has yielded remarkable enhancements in crop production, optimized resource usage, and streamlined farm operations. • These concrete outcomes exemplify the substantial advantages our system offers in boosting agricultural output while promoting environment stewardship. • We have advanced agricultural productivity and sustainability by integrating AI, predicative modeling and automation. • Our strategy innovation and framer collaboration for tailored solution and widespread adoption.
- 15. • We aremaking strides in solving agriculture’s challenges by empowering farmers with insights, management tools, and sustainable practices. • Our efforts includes refining algorithms, expanding sensor networks and improving user interfaces. • We have made progress in addressing agricultural challenges like resource optimization and sustainability, but the journey to full resolution continues. • We are dedicated to continuous improvement, innovation and collaboration with farmers . CURRENT STAGE
- 16. Next Stage • InnovatingOur App: • Our app is currently in the construction phase and faces challenges in accessing previous farming data. • The app lacks accurate information about previous crops including water requirements , growth duration and harvest timing. • We aim to enhance our app’s data analysis capabilities for crop and farming data in future updates.
- 17. For Smart Farming •Our customers are seeking the OnLogic Helix 511 Fanless Intel 12th Gen Edge Computer to enhance their smart farming endeavors.
- 18. Automation Plans • We’reworking to make tractors operate autonomously , reducing manual labor in farming. • Implementing an automatic grass cutter will boost crop growth efficiency and speed. • These improvements are designed to make farmer’s lives easier and more efficient , ushering in a new era of agricultural automation
- 19. Launching Our App •Startup crashes are a pressing issue with our app. • The app experiences long loading times and occasional freezes during use. • Compatibility problems have surfaced with the app. • Our app doesn’t handle no or low internet connectivity well. • We’re focused on debugging these issues to ensure a smooth app launch.
- 20. Proposed Solution • Ensuredthat the system is scalable to accommodate farms of varying sizes and adaptable to different types of crops and farming practices. • Provided training and ongoing support to farmers to help them effectively utilize the smart farming management system.
- 21. Proposed Solution • UnderstandFarm Needs: We'll start by figuring out what the farm needs to work better. We'll look at what's already there and what could be improved. • Choose the Right Tech: We'll pick the best technology to help the farm, like sensors to check soil and weather, and machines that can do some tasks automatically. • Make Farm Ready: We'll get everything set up, like putting in new equipment and making sure there's good internet and power. • Teach Everyone: We'll show the farmers and workers how to use the new stuff, so they can do their jobs better.
- 22. Proposed Solution • Keepan Eye on Things: We'll watch how everything works and check if it's helping the farm grow more crops and use fewer resources. • Be Eco-Friendly: We'll make sure the farm is kind to the environment, using less water and energy, and being careful with chemicals. • Think About the Future: We'll plan for the long term, so the farm can keep using the new technology and maybe even help other farms do the same.
- 23. Block Diagram OfSystem App Sensor Analysis WIFI Module Water Pump
- 24. Application Block Diagram Temperature Sensor Humidity Sensor SoilMoisture Sensor Water Level Sensor PIR Motion Sensor Power supply Raspberry Pie Microcontroller Relay Module Water Pump WIFI Module Internet Decision Making (Telegram Bot and on Web Server) Cloud Storage Data (On Telegram Bot) Web Server (Website) Read and Analysis Data Computer
- 25. FUND REQUIREMENTS Total estimatedcost : Rs. 14-15 Lakhs
- 26. Non Recurring/Non Consumables Component Name Whereit will be used? Quantity Price per Unit (INR) Total (INR) Alternate Component Alternate Component Price (INR) Reason for not choosing Soil Sensors Fields 20 5,000 1,00,000 Moisture Meters 4,000 Soil Sensors provide additional data beyond moisture Drone Crop Monitoring 2 1,50,000 3,00,000 Satellite Imagery Subscrip tion- based Drones offer real-time monitoring and flexibility Weather Station Central Weather Station 1 50,000 50,000 Online Weather APIs Subscrip tion- based Weather stations offer on-site data collection Greenhouse Structure Greenhouse 1 5,00,000 5,00,000 Shade Net Structure 3,00,000 Greenhouse provides controlled environment Irrigation System Fields 5 80,000 4,00,000 Manual Irrigation Labor Intensive Irrigation system automates watering process
- 27. Recurring/ Consumables Component Name Quantity Price perUnit (INR) Seeds 100 kg 200 Fertilizers 50 bags 500 Pesticides 20 liters 1000 Fuel for Machinery 200 liters 80 Animal Feed 500 kg 50 Maintenance & Repair - - Labor Wage - - Utility bills - - Insurance Premiums - - Software Subscriptions - -
- 28. Miscellaneous Expenses Head Price(INR)Reason Training Programs 10,000 Education and skill developments for the farm staff Travel Expenses 5,000 Visits to agricultural supplier sites Marketing & Promotion 20,000 Advertising Research & Development 25,000 Experimentation with new techniques
- 29. Path forward • EnhancedPredictive Analytics : Collect data on soil moisture, crop health, weather and equipment. • Artificial intelligence use this data to foresee things like disease outbreak, time for watering crops and the maintenance time for the equipments before they break. • We could design apps and interface which are easier for the farmer to use.
- 30. Path forward • Thiswould help them understand the data in a better way and thus, make faster decisions when using smart farming tools. • It could be done by designing them in a way that make sense to farmers. • We could provide guidelines to the farmers about using the app or interface to make them familiar with the smart farming tools. • Later, we could ask them to try to use it and make the necessary modification according to their feedback
- 31. References • https://www.farmerp.com/ • https://www.sciencedirect.com/science/articl e/pii/S1110982321000582 •https://research.iitj.ac.in/publication/smart-m onitoring-and-management-system-for-efficie nt-cultivation • https://www.deere.com/en/index.html • https://www.electronicscomp.com/
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