Florian Palatini’s Post

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Fluent in engineering l Send me your content for sharing | 530.000+ followers l @item

Agtech meets AI‼️ Precision agriculture powered by drones 🌱🚁 🌿 Accurate Plant Counting to ensure precise data for better decision-making 📊 Optimized Input Planning for resources efficiently for maximum yield 💡 Sustainable Practices that embrace technology for a greener future in farming. Use Cases: 🐛 Early Pest Detection - Identify and address pest issues before they spread. 🚜 Variable Rate Application - Apply fertilizers and pesticides precisely where needed. 🌾 Yield Prediction - Forecast potential harvests for better market planning. 📉 Cost Reduction - Minimize waste and reduce input costs through precise management. Awesome work by: Antonio Rodriguez Cortés at Universidad de Costa Rica UCR via YOLOvX #Agriculture #AI #Farming Michal Ukropec Lubos Brzobohaty Michal Gula

Gijsbertus J.J. van Wulfen

Innovation keynote speaker, Number One Thought Leader Design Thinking 2024, LinkedIn Top Voice helping you and your organisation, to become amazing innovators with keynotes, workshops, and a proven innovation method.

3mo

Wonderful simple applications Florian Palatini

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Mr. Rajesh Kumar Padhy

Head Of Operational Excellence Hosting & Cloud Technology ( Project Specific ), Software Development, R & D, Renewable Expert, Agile Practioner, RPA Implementation Expert in Customer Service Industry

3mo

Soon Robo's will decide what humans should eat ... " Just on a lighter note..no offense "

Rudi Smeets

advisor bij PLAKONI PROJECTS

3mo

Vooruitgang of achteruitgang??

Mark Seaman

Director at MJS Controls Limited

3mo

The idea of a closed loop system for use in agriculture has been around for a good number of years, with the harvester collecting data on yield from each area of a field and the passing that data to the other farm machines to feed more fertiliser or pesticide to specific areas to boost the yield of that area. Drones are often used for spotting issues in crops so they can be addressed. So this technology takes it to the next step to keeping the loop closed during the growing period, if it plots its data and feeds it back to the sprayers!

Vanessa Loiola

Robotics Programming Specialist 👩💻🤖 | #1 The Most Influential Woman in Robotics on LinkedIn 🌍 | Your Trusted Partner in Robotics Programming Expertise 🤝🏻

3mo

That is impressive. 🤯

Is it just me or... It is great to count that fast the number of bean plants, but it obviously uses a chopper (or a plane). In a world where we will need to be more aware of fossil fuels consumption, couldn't have we "counted" the plants by walking next to them? How long could it have taken? An hour ? And I assume it is not as if this number was changing often, or plants don't change spots, do they ? Even if some dies, a person walks in the field and count the burnt ones... Isn't that a bit like killing a mosquito with a missile?

Lubos Brzobohaty

Smart robotics | Machine vision | Industry 4.0

3mo

You can even more data using a multi/hyper-spectrum imaging and find out if some of the plants might have some disease. On the route to organic farming.

Thanks again Florian Palatini for sharing this YOLOvX post to your network 🚀 Regards, Team WISERLI 🎉

Christian Peeren

Robotics & Teleoperation

3mo

This is amazing! I love it! Is this really YOLO or traditional CV? To me this seems also doable with traditional HSV segmentation + topology ops. Although traditional CV is maybe less robust, it could be run online on a small CPU instead of carrying around a GPU enabled companion computer (assuming inference runs on the drone).

Amin Shikh Hasan

PMP® | ACP in Civil3D | Technical Office Roads Engineer | BIM Roads Engineer | (Designing, Planning, Quantity Surveying)

3mo

It's amazing what AI can do to help with productivity, wondering what it can add to our field of construction. It's already helping with projects management, maybe in the future it can detect flaws and problems in ongoing work in a construction site. Who knows 🤔?

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