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okay so if it's thank you for the intensive instruction
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so i'm just see also to tell you that i was born in a uniform uh
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my father was a far more on the uh he was gringos will be it
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and when i was young i spend the uh quite a lot of time helping uh in weeding manual weeding with uh
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'cause manual to uh it's quite a frustrating welcome sometimes frustration is at the start
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of a innovation and this is why uh when i was in junior high
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i came back to the idea of a improving this um this
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task of reading uh uh to make it more um
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uh of course uh uh it at the time it was not a man anymore it was
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comical but to make it more uh i mean i don't know that for me
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so what i call the chicks we are based in a um i like
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this picture because it makes you think that uh it's always funny uh
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whatever it is not always the case but um and we're active since two thousand fourteen we'll fifteen people
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and we are active in position weeding with uh using active star intentions and i
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will uh especially a focus on the spot a a i a definite
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so this is the the way we we we it's too they eighty percent of the of the area with with big machines
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this is our ah kind of how are we there was no uh intelligence to a to a selected applications
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so the uh the intelligence now today easy in the money could we have developed a selective medical
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which can uh destroy a some families of uh of uh plans and that's others
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um but it's not um in fact that there are a lot of drawbacks uh in the solution
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the point is that we make a and targeted application this mean
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there is a lot of waste it's also quite the gusty
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uh there are a lot of particular is you don't so what'll cop i knew
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what we all all we have the problem of of a chemical weeding
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and the also it's damaged the cop what we don't know is usually there is a five and
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ten percent of uh you loss due to the chemicals because they are not directly a selective
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and uh of course of course i couldn't decide is the is very complex and
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posted to develop its three hundred million to put on the market the new
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but it could this means that's the uh efficient and would make use off
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for big crops and but for crops they don't have a good product
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uh under there is an increased pressure to to ban uh this body cues
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and uh another problem is that's the nature or is uh that has not wait either
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to develop a resistance like a um a back then yeah with antibiotics
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and now we have a a m. b. c. the resistant weeds and we were on the on the planet which is a huge problem
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so the market offered chemical waiting it's about twenty five billion per year uh in the work
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and we can divide it in into segment there's the high added
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value crop segment like vegetables the medium i devalue crops
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like a potential beats and the low id value group like
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uh uh corn a week's a rice and so on
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so of course the higher you you go up the uh more cost to your weeding will be
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and this is why we interest first in the in in the upper part of the part where the farmers have more money to we
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so also should was to develop the nautilus machine with a split screen
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technology is means application of every side only on the weight
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so the machine must have the ability to detect the way this is why it as division invasions and uh
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we target the sent yet accuracy to really uh put as low as possible um quantity of every site
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so this machine can save up to ninety five percent of chemicals or a row at the same time we
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just got because every side is the most important part and the cost a lot of reading today
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uh we wanted a a light weight machine simple safe affordable and uh that's can
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also wrote simpler of people uh uh a critical uh application of any chemistry
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this means we can use for example ascetic i see that as a every
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side uh if we know how to apply it only on the weeds
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uh because it's a little bit on the side so we we need to to put it on the right place
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but uh when we are speaking of uh uh spraying
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it can also be a uh like a freak is uh told
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before it can also be with a organic a product
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um
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and uh we can reduce the um the point of n. b. c. the resistant we the problem
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because we of puts a stronger those is and the the weeds cannot develop resistance is
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so i have a small you know to show you the the machine operation it's output will work for both
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never works ideals
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so this is an old the a video of for a two thousand sixteen
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um where we see the the the principle of uh operations all the
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robot is is fully i'm older missing energy because it's all powered
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and the there are these two arms below that's willa move uh
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the uh the nozzle to the right place and people's it's
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that's very small amount so we we make us battering uh impulse expose praying
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and the camera the camera i become our ease used for navigation but of course
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also for a wee bit action plan that action and the then we
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have a a computer uh on board that classifies that make the consideration of
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the of of the plants everything is control with a with a nap
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uh and the machine is fully autonomous once you have switch it on
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configured you can go back home machine will work uh would they
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uh without any human intervention so it's like the the
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the all the little was more more machine
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and it's also a easy to uh to deploy with this that off track
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or we don't need a special equipment to uh to use this machine
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so although how is um in three main topics the first is uh
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a i was uh the planning realtime technology we have our own
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image data bank and we reach currently eighty five to
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ninety percent uh of plant recognition rate uh in the most advanced got that we have this is should be
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we also have uh the centre to accuracies battery in this means the um
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a a combination of the movement of the robot with the with the on the robotic arm
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uh i with all the problems that there is in a in a in the rain and uh we have
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these autonomous also rubber platform with a result of investigation we haven't educated yes sentiment the level of accuracy
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uh and uh we also autumn synergies so this means that the the
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former does not need to recharge the battery of the machine
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of course he needs to be filled the tank the tank as a a capacity of one day or one to two days of abortion
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this is dan is more than the whereabouts we have a nap we have several hours uh to perform uh that
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analysis uh and to exchange data with other systems and we
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have also reported for a configuration of the machine
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for so that the user can a computer for example the there's all of the workings on in a more efficient way than a moment up
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i will not go into detail uh about the robots uh how director we have developed everything
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from scratch and we have forty miles from the start the the cost of the machine
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um but what i will do tell room give somebody there's some about the the the didn't part
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so we have uh in fact the image
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the processing pipeline with uh first
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of course camera a control image acquisition acquisition which is very important
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and then we have to buy plants one which is a dedicated to
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a guidance navigation of the machine and yellow we detection and classification
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so about the uh navigation we have a refined or by plan b. c. this means not
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going that's that finds the rules on the robot will fall was uh not uh
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a crash the the core of course if the robot words on the on the crappy can
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damage so by this way we ensure that the robot always follow the the trucks
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um
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we have to keep the precision the sentimental level president is me this means we have uh we use weasel automatically
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so we have a points on the means that we track and we can people a set of
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a centimetre accuracy a wider roads moving even if they're awfully pages or out of a phenomena
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uh and the what's the positioning we have all integrates a g.
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p. s. wooden colour management the undeserved retreat into a common
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to make a an estimation of the of the uh the movement to perform
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to uh to keep the accuracy of the machine on the on the three
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about with addiction pipeline we uh initially we had
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a a standard classifier uh with features action
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uh um but then we switched to a deepening so now we have a in fact
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we still happen segmentation but then we go directly to uh to or network
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and uh we have some post processing it um is that to improve the the results
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and then we feed the robot to come with the the position of the weeds
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the problem of uh uh the biggest problem in agriculture is the the conditions we all outdoor
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we have a e. nation conditions that we don't want must or
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and we didn't want to master from the start with his wanted an open machine with an up and comer
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but the reader consequence is that we can have a very difference uh
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images colour for example sorry shades the shade of the robot
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uh uh and the we see the difference uh between uh a standoff classifier
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with handcrafted feature on the deep learning one with the standard classifier um
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we asked that a stack to uh to have one factor of one five it's very hard to go
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uh to go uh to be better than this because a standard classifier you divide it is so huge that
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it's it's really hard to uh to be able to extract features in all conditions but with the planning we we
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reach a much better results and eighty five percent of
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precision uh this means that it's acceptable for weeding
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uh we have a invented is on um on um and it yeah uh teach to perform
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uh and we of course will time because we don't have a it's not a cloud are connected the machine or
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it's of course it's connected to the car but the processing is performed really on on the on site
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in real time and we stick to we can reach the the the one second for one
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image which is uh what we need in fact every second we we've begun image
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of the four classification we take five image possible for medication but one for classification
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um this is a new um subject um robotic an
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actress or the the off some few competitors
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the most advances the believer in the us but the user is unattractive machine
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we are so far the the only ones to um to uh be soon uh of the market
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level reason that with machine using uh i think citations they are a lot of research machine
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um but we see that it's really uh it's the beginning of adventure
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there is room for other companies
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so the market for us this is the first market is uh uh is really these high added value crops
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in europe this means all the vegetables not all vegetables all suited for machine but uh the majority these
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this is a very fragmented markets with a very specific uh news in terms of an decide on or machine uh
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is a highly flexible so it respond very well to a small our ass but complex
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a fragmented the uh i wrapped body control what we could put a quarter
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the road map uh this year are we have twelve uh were but
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uh we will have fifteen or what integration for countries uh uh
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they will be begin their work next week so because it is the beginning of the winning season
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uh then we will set up the production uh and still have the sale
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and the or market lounge is planned for a end of the year with
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um they are a lot of eye doctor for doing me though
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because the farmers they have some time to to buy equipment in winter so we will do the the market lunch at this moment
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uh and then we will expand to um to idaho uh countries in europe of course with and is not
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is a is a very small market uh we need to go global to be uh
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but it's economically viable
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um so we ah about fifteen person uh to from those um
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uh and uh we have a border fibres or uh in uh in the back and we also have a lot of collaborations
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also with the yep and with the purpose of uh of it
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um and the um so this is also very important to have a good um
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good the environment in terms of a research in terms of agony a active changes
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and we have the privilege changes and to have all these uh partly to
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so what we have lots of lots of ah thank you for the inside
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of adjusting tool police in what you have learned i think we
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for most of the top of this is an adventure where we're from first adventure
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there are a lot of uh was done on the the goal is not to make uh the same hole
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to make a new house every time so the goal is to buy it it's or id very only
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it use that to to go to try to sell and i didn't know but nobody will
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buy and it's very important to uh to pass the market to ask the customers
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uh is it good timing i think if we would have launched this this uh project the
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ten years before it would not have been successful because the the technology was not right
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uh uh are you ready if oh you much make it by any impact or by money i
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think money is not a good motivation you when you when that last you need something
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higher than money to uh to uh to become an adventure i think change the world is a good uh
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easy with evaluation because it will allow to to perform an apple it maybe a a little bit um
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boasting as they are today well but if if the i think the startups worth
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are the ones a breeding we added value and id value means improving something
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there are a lot of things to improve so uh this is uh i think
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my opinion that motivation to have two launches pop up is improving something
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and if you have a good idea money will come it's a consequence is that it's not the calls um
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are you ready for a screen door on martin martin and i think it's tough to visit more map on the screen it
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can last a lot of a lot of of yours and you must be ready you know in the long run
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doing education i think can convincing carry something in common value when that convince the big
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playoff the first time you reconvenes a small players on them uh take maturity
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invest in people
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that's what we had before uh look for help from specialist because
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we the abilities are most of the time outside on we need need to look for them
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not try to do everything yourself but uh look the for the good people
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transparency in good communication uh a sale is as important as technology uh if if
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we are coming from the research part we are more prone to technology but
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so little stool solid top sales it becomes more important people
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and the and the interest or is the custom okay
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and the it takes always more time than planned maybe you with this you will uh
00:17:06
imagine than three years we do it but maybe we need six or nine years

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