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Robobots Club - UOP, Department of Agriculture Engineering, Faculty of Agriculture, University of Peradeniya, Peradeniya (2026)

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Department Of Agriculture Engineering, Faculty Of Agriculture, University Of Peradeniya

29/05/2025

Smart Irrigation and Water Management

Smart irrigation and water management are transforming modern agriculture by addressing the dual challenges of water scarcity and the need for increased food production. Traditional irrigation systems, which often rely on fixed schedules or manual monitoring, tend to overuse water or apply it inefficiently, leading to water waste, reduced crop yields, and soil degradation. In contrast, smart irrigation employs advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), machine learning (ML), and cloud computing to automate and optimize water delivery. Sensors embedded in the soil or placed on the field collect real-time data on moisture levels, temperature, humidity, and even crop stress. These data are then analyzed by AI and ML algorithms that determine the exact amount of water required, when it is needed, and where it should be applied—helping to reduce water use while maintaining or even improving crop productivity. Recent studies and pilot projects from various regions underscore the practical benefits of this approach. For example, an IoT-based irrigation control system developed by Karar et al. (2020) utilizes a neural network to regulate water pumps according to real-time field data, significantly cutting down unnecessary water usage. In India, Kaur and Kaur (2024) implemented a hybrid system in the water-scarce region of Rajasthan that combined sensor data with machine learning models such as Random Forest and Support Vector Machines. Their system achieved up to 60% water savings while maintaining healthy crop growth. These technologies also allow integration with weather forecasting systems, enabling farmers to adjust irrigation schedules based on predicted rainfall or drought conditions. The result is not only better resource management but also improved resilience to climate variability and extreme weather events. Despite the promise of smart irrigation, several challenges must be addressed for widespread adoption. The initial cost of equipment and installation can be high, especially for smallholder farmers in developing regions. Additionally, reliable internet connectivity and electricity are often necessary to operate these systems efficiently, which can be a hurdle in remote agricultural areas. There's also a learning curve involved; farmers must be trained to use, interpret, and maintain the technology. Governments, NGOs, and private companies are beginning to recognize these barriers and are working to provide subsidies, develop user-friendly systems, and launch training programs to support digital agriculture. Smart irrigation is not just about saving water—it represents a shift toward a more precise, datadriven approach to farming that aligns with the goals of sustainability, food security, and climate adaptation. As agriculture faces increasing pressure from environmental constraints and a growing global population, technologies that help farmers do more with less will be essential. The widespread adoption of smart irrigation could lead to a future where agriculture is more productive, resilient, and environmentally sound.

References:
Karar, M. E., Al-Rasheed, M. F., Al-Rasheed, A. F., & Reyad, O. (2020). IoT and Neural Network-Based Water Pumping Control System For Smart Irrigation. arXiv preprint arXiv:2005.04158. https://arxiv.org/abs/2005.04158
Kaur, H., & Kaur, R. (2024). Developing a Hybrid Irrigation System for Smart Agriculture Using IoT Sensors and Machine Learning in Sri Ganganagar, Rajasthan. Journal of Sensors. https://onlinelibrary.wiley.com/doi/full/10.1155/2024/6676907
Binayao, R. P., Mantua, P. V. L., Namocatcat, H. R. M. P., Seroy, J. K. K. B., Sudaria, P. R. A. B., Gumonan, K. M. V. C., & Orozco, S. M. M. (2024). Smart Water Irrigation for Rice Farming through the Internet of Things. arXiv preprint arXiv:2402.07917. https://arxiv.org/abs/2402.07917
Nagalingam, R., Chintamaneni, V., Paramasivan, K., & Ponnusamy, M. (2023). Smart Agriculture – Automatic Monitoring of Soil Moisture and Irrigation Control for Farming Land. Current Agriculture Research Journal, 11(3).

22/04/2025

AI and Data Analytics in Agriculture: Shaping Tomorrow’s Farming

Agriculture today is facing several global challenges, including climate change, limited resources, and the rising demand for food. To overcome these issues, modern technologies like Artificial Intelligence (AI) and data analytics are being introduced into farming. These digital tools are transforming the way farmers work, helping them make quicker, smarter, and more effective decisions while ensuring sustainable and profitable outcomes.

With the help of AI, farmers can collect and analyze data from satellites, drones, field sensors, and weather updates. This allows them to carefully plan when and where to plant, irrigate, and fertilize their crops, reducing waste and boosting harvests. In India, for example, farmers are using platforms like Cropin that rely on satellite data to improve crop management and choose the best times for sowing (Reuters, 2024).

AI is especially useful in detecting crop diseases, pests, and nutrient shortages early. Through AI-powered image analysis and mobile applications like PlantVillage, farmers can get instant advice on pest control and fertilizer use, improving plant health and avoiding losses. In Kenya, these AI tools have already helped small-scale farmers increase their harvests and better manage their fields (The Guardian, 2024).

The use of AI in farming equipment has also brought many benefits. Self-operating tractors, drones, and robots can now handle tasks such as planting, spraying, and harvesting with accuracy and speed. These machines help farmers save time, reduce labor needs, and manage crops more consistently. Smart irrigation systems powered by AI are also gaining popularity as they monitor soil moisture and weather changes, supplying the right amount of water to crops while conserving resources (Times Agriculture, 2024).

In the livestock sector, AI technologies are being used to track the health, movements, and behavior of farm animals. Using sensors and data analysis, farmers can quickly detect health problems, ensuring better care and productivity. Additionally, AI-powered machines are sorting and grading harvested produce based on size, color, and quality, making sure that only the best products reach the market and reducing post-harvest losses (Applied AI Course, 2024).

Another valuable use of AI is in forecasting. By analyzing both past and present agricultural data, AI systems can predict crop yields, market prices, and demand patterns. This helps farmers make better financial and planning decisions, manage risks, and remain competitive. Thanks to affordable mobile apps and cloud services, even smallholder farmers can access these technologies and improve their businesses.

To sum up, AI and data analytics are playing an important role in transforming agriculture. These technologies enable farmers to overcome modern challenges, improve efficiency, and work towards a more sustainable farming future. As university students, it’s important for us to be aware of these new trends and contribute to developing a smart, technology-driven agricultural sector.

References:
1. Reuters (2024)
https://www.reuters.com/world/india/space-data-fuels-indias-farming-innovation-drive-2024-05-17/

2. The Guardian (2024)
https://www.theguardian.com/world/2024/sep/30/high-tech-high-yields-the-kenyan-farmers-deploying-ai-to-increase-productivity

3. Times Agriculture (2024)
https://timesagriculture.com/role-of-artificial-intelligence-in-agriculture-complete-overview/

4. Applied AI Course (2024)
https://www.appliedaicourse.com/blog/artificial-intelligence-in-agriculture/

02/04/2025

Robotics and automation are revolutionizing agriculture, turning traditional farming into a high-tech, precision-driven industry. As the world’s population grows and labor shortages persist, the demand for efficient and sustainable farming practices has never been greater. Robotics offers a solution by automating time-consuming tasks, improving accuracy, and cutting operational costs. From sowing seeds and irrigating fields to harvesting crops and monitoring plant health, these advanced technologies are reshaping the future of agriculture.

Autonomous tractors, equipped with GPS and artificial intelligence, can plow, plant, and harvest crops with minimal human intervention, increasing efficiency while reducing fuel consumption. Companies like John Deere and Fendt are at the forefront of this transformation, developing self-driving machinery that optimizes productivity. Likewise, robotic harvesters are tackling one of the most labor-intensive aspects of farming. Innovations like Agrobot’s strawberry-picking robot and Abundant Robotics’ apple harvester use AI-powered vision systems to identify and collect ripe produce with precision, minimizing waste and lowering labor costs.

Drones have also taken modern farming to new heights, providing real-time data on crop health, soil conditions, and pest infestations. Companies like DJI and PrecisionHawk offer high-resolution imaging technology that helps farmers fine-tune irrigation, fertilization, and pesticide application. Meanwhile, AI-driven robotic weeders, such as those from Ecorobotix and Naïo Technologies, are eliminating the need for excessive herbicide use by precisely targeting and removing weeds, making farming more eco-friendly. Smart irrigation systems, like Netafim’s drip irrigation and the Precision Agriculture Irrigation System (PAIS), optimize water distribution by analyzing soil moisture levels and weather data, conserving water while ensuring crops receive the hydration they need.

Real-world applications of robotics in agriculture demonstrate the immense potential of these technologies. Blue River Technology’s See & Spray system, for instance, uses AI to distinguish crops from weeds, drastically reducing the need for herbicides. Iron Ox, a California-based startup, has taken automation a step further by running fully autonomous greenhouses, where robotic arms handle everything from planting to harvesting. In the UK, the Hands-Free Hectare project successfully cultivated an entire field using only autonomous machines and drones, proving that fully automated farming is not just a concept but a reality.

The benefits of robotics in agriculture are undeniable. Automation boosts productivity, allowing farms to operate efficiently around the clock while reducing dependency on human labor. It also promotes sustainability by minimizing resource waste and lowering the environmental impact of farming practices. Additionally, AI-driven robots can detect plant diseases early, apply precise treatments, and optimize growing conditions, leading to healthier crops and higher yields.

Despite these advantages, challenges remain. The high cost of robotic systems can be a hurdle for small-scale farmers, though long-term savings in labor and resource management often justify the investment. Operating and maintaining these advanced machines requires technical expertise, making training programs essential for widespread adoption. Furthermore, in many agricultural regions, inadequate infrastructure and limited internet connectivity hinder the full potential of real-time data processing and automation.

Looking ahead, the integration of robotics and AI in agriculture will only continue to expand. From AI-powered crop prediction models and swarm robotics managing vast farmlands to blockchain ensuring supply chain transparency, the future of farming is being shaped by innovation. Governments, research institutions, and industry leaders must work together to support and accelerate this technological revolution, ensuring that farms of all sizes can benefit from automation. With ongoing advancements, robotics and automation will not only enhance efficiency and sustainability but also secure a more resilient and food-secure future for the world.

22/03/2025

Precision Agriculture & Smart Farming: The Future of Sustainable Agriculture

Agriculture has undergone significant transformations over the years, driven by technological advancements that aim to enhance productivity and sustainability. As the global population continues to grow, farmers face increasing pressure to produce more food while using fewer resources and minimizing environmental impact. This challenge has led to the rise of precision agriculture and smart farming, which utilize modern technologies such as the Internet of Things (IoT), artificial intelligence (AI), robotics, and data analytics to optimize agricultural processes. These innovations are revolutionizing farming by improving efficiency, reducing waste, and ensuring better resource management.

Precision agriculture is a modern farming technique that leverages technology to monitor and manage field variability. By collecting real-time data from sensors, drones, and satellite imagery, farmers can make informed decisions about crop management. One of the key components of precision agriculture is remote sensing and GIS (Geographic Information Systems), which allows for detailed mapping of soil conditions, plant health, and moisture levels. Additionally, variable rate technology (VRT) enables the precise application of inputs like water, fertilizers, and pesticides, ensuring that resources are used efficiently without unnecessary waste. Automated machinery, such as GPS-guided tractors and robotic harvesters, further enhances accuracy and reduces labor costs. With the integration of data analytics and AI, farmers can predict yield outcomes and manage risks more effectively, ultimately leading to higher productivity and profitability.

Smart farming takes precision agriculture to the next level by incorporating automation and real-time decision-making through AI and IoT-based technologies. This approach enables farms to operate with minimal human intervention while maximizing efficiency. One of the most impactful applications of smart farming is IoT-based smart irrigation, where soil moisture sensors automatically regulate water supply, reducing both water wastage and operational costs. Automated greenhouses use AI to control temperature, humidity, and light levels, ensuring optimal growing conditions for crops. In livestock farming, smart collars and wearable devices help monitor animal health, movement, and feeding patterns, allowing farmers to detect diseases early and improve overall herd management. Blockchain technology is also being explored in smart farming to enhance traceability and food safety by providing transparent records of agricultural products from farm to consumer.

The adoption of precision agriculture and smart farming technologies offers numerous benefits. One of the most significant advantages is increased efficiency, as farmers can optimize their use of resources such as water, fertilizers, and pesticides, leading to cost savings. These technologies also promote sustainability by minimizing environmental impact, reducing chemical runoff, and lowering greenhouse gas emissions. Another crucial benefit is higher yields, as data-driven insights enable farmers to make better decisions regarding planting, harvesting, and pest control. Furthermore, the automation of farming tasks leads to reduced labor dependency, which is particularly beneficial in regions facing labor shortages. As a result, precision agriculture and smart farming contribute to more resilient and productive agricultural systems.

Despite the numerous advantages, several challenges hinder the widespread adoption of precision agriculture and smart farming. High initial costs pose a significant barrier, especially for small-scale farmers who may struggle to invest in advanced technologies. Additionally, the technical expertise required to operate and maintain these systems can be a limiting factor. Another challenge is the lack of connectivity in rural areas, as many smart farming technologies rely on stable internet access for real-time data transmission. Data security and privacy concerns also arise, as large amounts of farm data are collected and stored in digital platforms.

Looking ahead, the future of precision agriculture and smart farming is promising. The integration of 5G technology will enhance connectivity, making it easier for farmers to adopt real-time monitoring systems. AI-driven autonomous robots are expected to play a more significant role in tasks such as weeding, harvesting, and pest control. Additionally, innovations in vertical farming and hydroponics will enable food production in urban areas, reducing dependency on traditional farmland. Governments and agricultural organizations must support research, training, and policy initiatives to ensure these technologies become more accessible to farmers worldwide.

Precision agriculture and smart farming are shaping the future of agriculture by improving efficiency, sustainability, and productivity. As climate change and resource limitations continue to challenge traditional farming methods, adopting these innovative technologies is crucial for ensuring global food security. While challenges such as cost, technical knowledge, and infrastructure remain, ongoing advancements and policy support will drive wider adoption. By embracing precision agriculture and smart farming, farmers can optimize their operations, reduce environmental impact, and contribute to a more sustainable agricultural future.

නිරවද්‍ය ගොවිපළ කළමනාකරණය සහ ස්මාර්ට් ගොවිපළ පද්ධතිය: තිරසාර ගොවිතැනේ අනාගතය

ගොවිතැන වසර ගණනාවක් තිස්සේ විශාල පරිවර්තනයකට ලක්ව ඇත. මෙය ප්‍රධාන වශයෙන් කෘෂිකාර්මික නිෂ්පාදනය හා තිරසාරභාවය වැඩිදියුණු කිරීමට උපකාරී තාක්ෂණික ප්‍රගතිවලින් බලපෑම් වී ඇත. ලෝක ජනගහනය දිගින් දිගටම වැඩිවෙමින් පවතින අතර, ගොවියන්ට දියුණුකළ ප්‍රමාණයකින් වඩාත් ප්‍රමාණවත් අස්වැන්න ලබා ගැනීමට මෙන්ම, සම්පත් භාවිතය අවම කරමින් පාරිසරික බලපෑම් අඩු කිරීමටද බලපෑම් වී ඇත. මෙම අභියෝගය හේතුකොටගෙන නවීන නිරවද්‍ය ගොවිපළ කළමනාකරණය සහ ස්මාර්ට් ගොවිපළ පද්ධතිය හෙවත් කෘෂි තාක්ෂණික විප්ලවයක් ඇතිවී ඇත. අන්තර්ජාලයෙහි දෑවියන්ගේ වස්තුවන් (IoT), කෘත්‍රිම බුද්ධිය (AI), රොබෝටික උපකරණ සහ විශාල දත්ත විශ්ලේෂණය යන නවීන තාක්ෂණයන් යොදා ගනිමින් ගොවිපල ක්‍රියාවලීන් කාර්යක්ෂමව, අපද්‍රව්‍ය අවම කරමින්, වඩාත් සුදානම්ව ක්‍රියාකරවීම මෙයට හැකිවී ඇත.

නිරවද්‍ය ගොවිපළ කළමනාකරණය යනු ක්ෂේත්‍ර වල ඇති විවිධාංගීකරණය මත පදනම්ව, තාක්ෂණය යොදා ගනිමින් නිවැරදිව ගොවිපළ කළමනාකරණය කිරීමට උපකාරී වන නවීන ගොවිතැන් ක්‍රමයකි. සංවේදක (sensors), ඩ්‍රෝන් සහ උඩුගුවන් රූප (satellite imagery) යොදා ගනිමින් පෝෂක තත්වය, බෝග සෞඛ්‍යය සහ පසෙහි තෙතමනය ගැන වඩාත් නිවැරදි තොරතුරු ලබා ගත හැක. භූGIS සහ දුර සංවේදනය මඟින් වගා භූමිය පිළිබඳ සිතියම් සෑදිය හැකි අතර, විචලන අනුපාතික තාක්ෂණය (Variable Rate Technology - VRT) හරහා පොහොර, පසෙහි ආර්ද්‍රතාවය හා පළිබෝධනාශක වැනි ආදාන නිවැරදිව යෙදිය හැක. GPS මඟින් පාලනය කරන ට්‍රැක්ටර් සහ රොබෝ නාඳුනන (robotic harvesters) මඟින් වඩාත් නිවැරදිව හා කාර්යක්ෂමව ක්ෂේත්‍ර කළමනාකරණය කළ හැකි අතර, දත්ත විශ්ලේෂණය සහ AI යොදා ගනිමින් අස්වැන්නේ ප්‍රතිඵල අනාවැකි කිරීම සහ අවදානම් කළමනාකරණය කළ හැක.

ස්මාර්ට් ගොවිපළ පද්ධතිය යනු නිරවද්‍ය ගොවිපළ කළමනාකරණයේ වඩාත් දියුණු වූ පියවරකි. මෙය AI සහ IoT තාක්ෂණය මඟින් ගොවිපළ ක්‍රියාවලීන් ස්වයංක්‍රීයව පාලනය කරමින් ඉතා කාර්යක්ෂමව ක්‍රියාත්මක වේ. IoT පදනම් කළ ස්මාර්ට් වාරිමාර්ග පද්ධතිය භාවිතයෙන්, මෑතකදී සංවර්ධනය කරන ලද පාංශු තෙතමන සංවේදක (soil moisture sensors) මඟින් ජලය ස්වයංක්‍රීයව යෙදීමේ හැකියාව ඇත. ස්වයංක්‍රීය ග්‍රීන්හාවුස් (automated greenhouses) භාවිතයෙන්, AI මඟින් උෂ්ණත්වය, ආර්ද්‍රතාවය සහ ආලෝක තත්වය පාලනය කරමින්, වගාවට වඩාත් යෝග්‍ය පරිසරය ලබාදිය හැක. දඩයම් හා පශු වගාව සඳහා ස්මාර්ට් පළඳුණු (smart collars) භාවිතයෙන් මවයන්ගේ සෞඛ්‍යය, ගමන් මාර්ග සහ ආහාර ගන්නා හැකියාව නිරීක්ෂණය කළ හැකි අතර, රෝග අවදානම් වළක්වා ගත හැක.

නිරවද්‍ය ගොවිපළ කළමනාකරණය සහ ස්මාර්ට් ගොවිපළ පද්ධතියේ ප්‍රධාන වාසි වන්නේ වැඩි කාර්යක්ෂමතාවයයි. මෙම ක්‍රම භාවිතයෙන් ජලය, පොහොර සහ පළිබෝධනාශක වැනි සම්පත් නිවැරදිව යෙදිය හැකි අතර, එය පාරිසරික හානිය අඩු කරමින් පදනම් වේ. AI සහ IoT තාක්ෂණය නිසා, වගාවන් සඳහා වැඩි අස්වැන්නක් ලබා ගැනීමට හැකියාව ඇත. තවද, ගොවිපළ ක්‍රියාවලීන් ස්වයංක්‍රීය කිරීම නිසා මානව බලශක්තිය අවශ්‍යතාවය අඩු වේ, එය විශේෂයෙන්ම කාර්යක්ෂමතාවය වැඩි කිරීමට උපකාරී වේ.

නමුත්, මෙම නවීන තාක්ෂණයන් භාවිතා කිරීමේදී බාධා කිහිපයක් ඇත. ආරම්භක ආයෝජන ගාස්තු ඉතා ඉහලය, විශේෂයෙන්ම කුඩා වගාකරුවන්ට මෙය දැඩි අභියෝගයක් වේ. තාක්ෂණික දැනුම හිඟය ද එක් බාධාවක් වන අතර, ගොවිපළ නඩත්තු කිරීම සඳහා වඩාත් නිවැරදි පුහුණු මට්ටමක් අවශ්‍ය වේ. තවද, ගොවිපළක් හැදැරීමේදී අන්තර්ජාල සබඳතාවය අවශ්‍යතාවය නිසා, ග්‍රාමීය ප්‍රදේශ වල සබඳතා අවශ්‍යතාවය පදනම් වන ප්‍රධාන ගැටළුවකි.

භවිතය, 5G තාක්ෂණය, AI පදනම් කළ රොබෝවරුන්, Blockchain තාක්ෂණය යන තාක්ෂණික සංවර්ධනයන් වගා ක්ෂේත්‍රයේ වැඩිදියුණුකරණය කිරීමේ ඉදිරි අනාගතය සනිටුහන් කරයි. රජයන් සහ කෘෂි ආයතන නවීන ගොවිපළ කළමනාකරණය සඳහා වැඩිදියුණු කළ ප්‍රතිපත්ති සහ පුහුණු වැඩසටහන් ඉදිරියට ගෙන යා යුතුය.

නිරවද්‍ය ගොවිපළ කළමනාකරණය සහ ස්මාර්ට් ගොවිපළ පද්ධතිය, කෘෂි ක්ෂේත්‍රය අනාගතය සනාථ කරන අතර, එය තිරසාර, කාර්යක්ෂම සහ නිපුණතාවය වැඩි කරන ක්‍රමවේදයක් ලෙස විකාශනය වෙමින් පවතී.

25/12/2024

✨May the magic of Christmas fill your hearts with happiness and your homes with love!!! ♥️♥️Wishing you a season full of peace and joy!🎁🎄🎄

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Robobots club🤖
University of Peradeniya

23/12/2024

Congratulations to the newly appointed committee members of the Robobots Club for the 2025 term! 🦾✨

Wishing you all the best in your new roles! ❤️

Club

23/12/2024

We express our heartfelt gratitude to the outgoing committee of the Robobots Society 2024 for their hard work, dedication, and leadership. 🦾

Thank you! 👾❤️

14/12/2024

📢 Join Us for the Robobots Club Annual General Meeting! 🤖

The Robobots Club from the Faculty of Agriculture, University of Peradeniya, invites you to its Annual General Meeting (AGM), Today ! 🍃

📅 Date: Today, 14th December 2024
⏰ Time: 6:00 PM onwards
📍 Venue: Online via Zoom

A warm welcome for newcomers looking to join our vibrant community! 🍃

13/12/2024

📢 Join Us for the Robobots Club Annual General Meeting! 🤖

The Robobots Club from the Faculty of Agriculture, University of Peradeniya, invites you to its Annual General Meeting (AGM)!

📅 Date: 14th December 2024
⏰ Time: 6:00 PM onwards
📍 Venue: Online via Zoom

A warm welcome for newcomers looking to join our vibrant community! 🍃

29/11/2024

Due to unforeseen circumstances, we regret to inform you that Computer Vision Workshop scheduled for 30th November & 1st December will be postponed.

Stay tuned for the new date, and we appreciate your understanding.

29/11/2024

⚡Vision Beyond Limits: AI & Computer Vision workshop⚡

Happening Tomorrow!!!
Two-day workshop with The Microsoft Learn Student Ambassadors!!

🎙️ Resource person: Mr. Shakthi Lakmal

🎯 What to Expect:

Day 1
- 🌐 Intro to AI & Symbolic AI
- 🔗 Neural Networks Simplified

Day 2
- 👁️‍🗨️ Computer Vision Essentials
- 🗣️ Natural Language Processing
- 🚀 Advanced AI Applications
- ⚖️ Ethics in AI

With practical session to provide hands on experience on computer vision

••••••••••••••••••••••••••••••••••••••••
📅 When: Nov 30th & Dec 1st
📍 Where: Dept. of Animal Science, University of Peradeniya
🕑 From 8.30 am to 3pm
💰 Fee: LKR 1000 only
••••••••••••••••••••••••••••••••••••••••

Why Attend:
- 🎓 Microsoft-Endorsed Certificate
- ☕ Complimentary Refreshments

🎟️ Limited Seats – Hurry up and Register Now!
📥 Register: https://forms.gle/TdcB2bgCJrcfap9w9

Take the leap into the future with technology!

28/11/2024

⚡Vision Beyond Limits: AI & Computer Vision workshop⚡

Join Vision Beyond Eyes, a two-day AI & Computer Vision workshop with Microsoft Learn Student Ambassadors and shape the future of tech!
🎙️ Meet Mr. Shakthi Lakmal, our expert guide on this exciting journey!

🎯 What to Expect:

Day 1
- 🌐 Intro to AI & Symbolic AI
- 🔗 Neural Networks Simplified

Day 2
- 👁️‍🗨️ Computer Vision Essentials
- 🗣️ Natural Language Processing
- 🚀 Advanced AI Applications
- ⚖️ Ethics in AI

📅 When: Nov 30th & Dec 1st
📍 Where: Dept. of Animal Science, University of Peradeniya
💰 Fee: LKR 1000

🎁 Why Attend:
- 🎓 Microsoft-Endorsed Certificate
- ☕ Complimentary Refreshments
- 🎟️ Limited Seats – Register Now!
📥 Register:(https://forms.gle/TdcB2bgCJrcfap9w9)

Take the leap into the future of tech!

Robobots Club - UOP

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