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UID:eventsphere-62649@www.knowafest.com
DTSTAMP:20261008T154709Z
DTSTART:20241215T183000Z
DTEND:20241221T182959Z
SUMMARY:Faculty Development Programme on IOT AND MACHINE LEARNING APPROACHE
 S FOR SMART AGRICULTURE (IMLASA2024)
LOCATION:Annamalai University\, Chidambaram
DESCRIPTION:<p>ABOUT THE FDP<br />\nThe FDP on “IoT and Machine Learning 
 Approaches for Smart Agriculture” aims to delve into the transformative 
 potential of emerging technologies in revolutionizing modern farming pract
 ices. This event will bring together experts\, researchers\, practitioners
 \, and enthusiasts in the fields of agriculture\, IoT\, and machine learni
 ng to explore innovative solutions for enhancing agricultural productivity
 \, sustainability\, and efficiency. In digital agriculture management\, hi
 ghlighting the integration of AI\, IoT devices\, machine learning\, and se
 nsor technology in enhancing farming efficiency and productivity. Emphasis
  is placed on the use of robotics\, drones for crop monitoring\, and smart
  irrigation systems\, which leverage real-time data for Optimized agricult
 ural operations. The role of high-speed 5G networks in enabling these smar
 t Agriculture farming solutions\, particularly their impact on data transm
 ission and connectivity in rural settings. Challenges and opportunities in
  implementing Smart Agriculture in developing countries are explored\, foc
 using on real-time soil analysis and decision-making aids for farmers. Thi
 s FDP aims to provide a nuanced understanding of the current and future po
 tential of AI and IoT in reshaping agricultural practices\, addressing glo
 bal food security challenges\, and supporting sustainable development.<br 
 />\nThe objectives of this FDP are as follows.<br />\n Exploring the In
 tersection of IoT and Machine Learning in Agricultural Optimization<br />\
 n Understanding the Role of IoT and Machine Learning in Revolutionizing
  Agriculture<br />\n Showcasing Innovative Applications of IoT and Mach
 ine Learning in Smart Agriculture<br />\n Discussing the Potential of I
 oT and Machine Learning for Sustainable Farming Practices<br />\n Ident
 ifying Opportunities and Challenges in Implementing IoT and Machine Learni
 ng in Agriculture<br />\nThe outcomes of the FDP on IoT and Machine Learni
 ng Approaches for Smart Agriculture are expected to be multifaceted\, impa
 cting various stakeholders involved in agriculture and technology. Overall
 \, the outcome of the programme is expected to be a catalytic shift toward
 s smarter\, more efficient\, and sustainable agricultural practices enable
 d by the integration of IoT and machine learning technologies.</p>
URL:https://www.knowafest.com/faculty-development-programme-on-iot-and-mach
 ine-learning-approaches-for-smart-agriculture-imlasa2024
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