Artificial Intelligence for Agriculture 10 min easily explained AIA

ladies gentlemen from envy CEO of this to agriculture please want to state marco brainy a white-shoe the farmer finally get engaged into these technologies there is a huge gap among the potential on the left and still huge losses millions of tons of food just because of mistakes so we need to put ourselves in the shoes of the farmer farmer are entrepreneurs which are constantly challenged by complex situation they need to take care of the current crop needs so we call this sensing so they need to know what is happening what are the real needs of the plants on the other side they have available remedies so inputs for instance you may have pesticide if there is a bug attacking you may have inputs such as fertilizer if the plants needs that or water so you need to identify the right mix of inputs and combine this with the right needs of the plants you act and once you acted then you start over again this is the process is as simple as that but we are going to make it even more simple just imagine that the farmer was a cook instead of plants we have customers at the restaurant so who is the sensor the sensor in this case is the waiter the waiter should go there and try to understand the level of hunger are they hungry what are they taste in such disease collecting the needs on the other side the cook has in the kitchen tools and ingredients so he needs to find a combination the perfect combination identifying a mix what's what's the result of it acting in case of cooking is creating the first curse so we need to repeat this process over and in this process every year constantly repeated throughout the season it sends think and act and if you see this inner circle then we have the Neolithic people that were making use of the plow and the Oxus right they were trying to identify the pattern of the plants what the plant needs now then we had the tractors the chemical and now it's the next generation we're gonna have digital so nothing change just more evoluted to it where does artificially intelligent fit well in all three can provide some benefit but especially in the thinking process let's call it the digital thinking friend it's data processing an action where the data have been gathered by many enabling technology the processing is the thinking and this is where most of the artificial intelligence is and then you have the action what is it exactly artificial intelligence easily explain if you go and look for yourself normally this is what you get something very inspiring either a video or book or a document you read it you feel cool but you really don't understand it or you get technical stuff you get lost I like to think about artificial intelligence as the process of learning to walk each of us have been through that and it's as simple as that you start sensing what's my balance where I would like to go then you think what shall I do to recover balance and going in that direction and then you act and then you start over you assess your position a move on once you have learned you don't think anymore you just walk and you have what in artificial intelligence is called model you have a model for instance you have a model to walk in the beach on the sand again it's data data collection model so instead of thinking let's talk about model creation and then deciding of course it's a little more complicated than that there are multiple passage but do we really need to go through all these stuff I mean could we use a car even if we are not a mechanical engineer yes and we can enjoy the benefit of a car and even drive it the same can be done and it's gonna be done with artificial intelligence it's a tool nothing more than that it's a tool so from the tool point of view what is going to do for agriculture first of all is going to take data train of zero and one these are the data then you feed the artificial intelligence we create model and then acting so since what does it mean sense you know about drawing or satellite or smartphone metro station Internet of Things you may have a soil sensor soil moisture sensor solar radiation sensor parameter you can tones of data but as Martin as well where people going into the field can provide you information those are all data then you think about this data and you decide okay what's the scope of thinking less nutrients less pesticide less water less labor less let's use less of these inputs while achieving better result that's the challenge finally you act you may act manually or with the automatic or semi-automatic systems such as irrigation system pre program and more will come let's think about agriculture these four steps seeding soil plant protection and feeding and harvesting how can artificial intelligence help in these different domain seeding breeding is the selection of seed and they need to go through millions of genes to identify the best seed for that specific condition this is where you want to have artificial intelligence doing on your behalf there are treatments for instance you want to be informed collecting all those data which are coming from the field you want to be for woodies real risk of the plants to get infected by a disease by a fangy because if there is a high risk then you're gonna spread the product at that time not sooner not late you need to know when otherwise there is a risk and this is where it official intelligence can help decision support is the king there's a real companies that are providing service and products based on artificial intelligence the what are the challenge is there something which is slowing down the process yes what are these things first thing is availability of data no data input no data output it's useless to have a brain if you have no data so how do you get this data well you have these new enabling technologies that are providing a lots of data so we are jumping in a situation where we are facing too many data this is why we need artificial intelligence to go through all these data but not just having the data is enough they need to be usable it's like a different language you put ten people in a room and each one speaks its own language you have nothing so they need to translate the same format data format in addition you need to have quality of data because you know junk in junk out in digital terms and the motivation to be adopted so the return on investment the return on investment will count when you provide index finally we have policies and regulations the tricky part though in my opinion is social acceptance cognitive computing and artificial intelligence but the key difference is that in cognitive computing we let the machine to provide us recommendation and we take the decision in artificial intelligence broadly speaking we let the computer the machine doing its own decision it's like when you drive a car you may have an assistant parking system so you control machine does the job or you have a totally automatic machines what is emotionally scaring people about artificial intelligence let's be honest most of us are afraid of option B where instead of having artificial intelligence helping us to do a better job we're going to be guided and slaved so this is a matter of concern and we'll keep regulation slowing down I believe we can overcome that just thinking about cognitive computing and this is indeed the way I like it this is the way I am visit the boring stuff to be done by the machines on the other side you take business decision to provide a tailored solution for your plant instead of the standard approach having this cycle but this is what is going to happen it's a combination of factors to finally enjoy healthy food delicious food for everybody