To recover this for you because this is just an incredible time for you. Thank you. Thank you for having me speak to the new border by agents from the Border Patrol Union are speaking out at one of them is here. Nozzles Pump Prices have many writers seeing red, what are the impacts of that biden administration touts its 18 Earth Day Push to go gr green. [ ] so i hired body doubles. 30,000 Followers Tina in a boutique hotel. Or 30,000 Steps Tina in a mountain cabin. Ooh booking. Com booking. Yeah its hard to explain what this feels like. Moving piles of earth. Towing up to 4,000 lbs. Cutting millions of blades of grass. Nothing compares to experiencing it for yourself. You just have to get in the seat. Rsv is out there. For those 60 years and older protect against rsv with arexvy. Arexvy is a vaccine used to prevent lower
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in the existing age old agricultural practices is also crucial. this robot is helping farmers save major costs on fertiliser and pesticides. built in india s silicon valley, bangalore, by startup niqo robotics, the machine makes spraying of agrichemicals more efficient. jai, you re doing some precision spraying here. can you just explain to us this technology and this, how the cameras, etc, work? yes. so if you see this specific field here, there s a lot. of distance between two rows| and even between two plants, there s significant distance where there is nothing - to be sprayed. so as the sprayer moves, the camera, real time, l detects where should the spray be applied specifically - on the plant. and it turns off the nozzles where there s no plants. i
here, there is a lot of distance between two rows. and even between two plants there is significant distance where there is nothing to be sprayed. as the sprayer moves, the camera real time detects where the spray should be applied, specifically on the plant. and it turns off the nozzles where there are no plans. and that saves over 50% of costs of chemicals. these have been deployed on 50 farms but are limited to just seven crops and that is because the machine needs volumes of data which are photos of the plants to learn from and build models for each crop. over the last five years we have captured about 8.2 million images across seven crops and not only that, the numbers is impressive, but also how varied the data is.