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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Cameron Jenkin<br>
<b>Sent:</b> Thursday, 10 March 2022 10:37 PM<br>
<b>To:</b> Cameron Jenkin <cameron_speyside@hotmail.com><br>
<b>Subject:</b> Weed detection Project! imagery/embedded computing/AI machine vision, can you help!</font>
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Can you help?</div>
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Thanks for reading!</div>
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Looking at creating a weed detection system for broadacre agriculture using off the shelf componentry. Utilising camera imagery embedded computing and AI machine vision.</div>
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Please see the video that inspired me and left me thinking could this be upscaled and tailored to suit a specific problem/working environment?</div>
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<a href="https://youtu.be/3O42e4-u7hM" id="LPlnkOWALinkPreview">https://youtu.be/3O42e4-u7hM</a></div>
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<a target="_blank" id="LPImageAnchor926856" href="https://youtu.be/3O42e4-u7hM"><img id="LPThumbnailImageId926856" alt="" height="135" width="240" style="display:block" src="https://i.ytimg.com/vi/3O42e4-u7hM/maxresdefault.jpg"></a></div>
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<a target="_blank" id="LPUrlAnchor926856" href="https://youtu.be/3O42e4-u7hM" style="text-decoration:none">AI Weed Detector</a></div>
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How I created a synthetic COCO image dataset of yard weeds from scratch in a single day. I then trained a Mask R-CNN to perform image segmentation on weeds w...</div>
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Can you help create a training model using images created on farm in the wheatbelt of Western Australia as shown in the video?</div>
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If you can???? Could you put this on a-</div>
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<a href="https://developer.nvidia.com/embedded/jetson-xavier-nx" id="LPlnkOWALinkPreview_1">https://developer.nvidia.com/embedded/jetson-xavier-nx</a><br>
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<a target="_blank" id="LPUrlAnchor539246" href="https://developer.nvidia.com/embedded/jetson-xavier-nx" style="text-decoration:none">Jetson Xavier NX - NVIDIA Developer</a></div>
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Jetson Xavier NX delivers up to 21 TOPS for running modern AI workloads, consumes as little as 10 watts of power, and has a compact form factor smaller than a credit card. It can run modern neural networks in parallel and process data from multiple high-resolution
sensors, opening the door for embedded and edge computing devices that demand increased performance but are constrained by size ...</div>
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developer.nvidia.com</div>
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Many thanks!!</div>
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More than happy to pay for your time and effort on this project! Would like to see you out on farm!</div>
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Any interest appreciated!</div>
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Regards </div>
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Cameron Jenkin</div>
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0434504650</div>
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cameron_speyside@hotmail.com</div>
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Passionate grain grower in the wheatbelt of Western Australia.</div>
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