 I have the pleasure of welcoming and introducing Deepan Modi who is talking to low-cost monitoring systems, small-scale precision aquaculture systems. And here we see crossovers and opportunities for crossovers, a agile technology social enterprise that reduces risk and improves productivity. Namaste, I am Deepan Modi. I am the founder and managing director of Project Serial Technologies where we design and build small-scale precision aquaculture systems for low-income households. So, we work at the intersection of aquaculture, social sciences and technology. Technology we are using is IoT and machine learning. And what we are trying to do is we are trying to automate the crucial processes in aquaculture so that people can take up aquaculture in their own backyard on the lines of backyard poultry. So, if you look at this, this is our prototype for water quality monitoring. So, what we are trying to do is we are trying to automate the water quality reading taking process so that the system would take this on your behalf and would send these readings to you over cloud and also through the on-site display. If you look at these sensors, these are analog sensors for pH, conductivity, dissolved oxygen, TDS, turbidity, temperature and level sensors. And one of the important sensors ammonia is missing because that sensor is quite expensive and we are trying to do a workaround for that sensor. These are analog sensors because digital sensors are expensive and what we are trying to do is we are taking this analog input and with the signal conditioning circuit, we are converting that analog input into a digital input which in turn goes to our controller board or the motherboard which has its own on-site display where you could see the pH right now is 7.1, the temperature is 24 degree centigrade and the dissolved oxygen is 4 ppm. So, this is a programmable board in which you can define the frequency of the frequency with which you take the reading. Say if you want to take reading every one hour, if you want to take the reading once a day, if you want to take reading twice a day, once in a week, you can program this in the board and also this board acts as early warning system. So, any parameters going beyond the predefined range, this system would provide you with an alert which would be on-site in form of sound and visual. Also, the alert would go over cloud to your phone or the Android app which we are building. So, this would help you in maintaining the fish health, reducing fish mortality and even in the worst possible case, if fish mortality is happening, you would be at least getting to declutter the reason for that. You would be having the data to find the root cause of violent mortality happen. So, this is the objective on which we are working and with this prototype, it's not a finished product yet. We are working on the casing part and with once we move ahead in this prototype, we would be soon starting the pilot for this prototype at field level in a real-life aquaculture system. So, this is what I wanted to demonstrate. We are trying to build this system as a plug-and-play system so that people can use it without much skill level or without much technological help. So, this is what we are working on. Thank you. Thank you, Deepin. My question really comes up. Sorry to interrupt, Dr. Kim. Actually, I wanted to add a couple of things to that video because I could not re-shoot another video as a COVID-related restriction for going on. So, for the next couple of months, yeah, this is a six-month-old video. For the next couple of months after that video, we actually finished the prototyping and we actually, the ammonia sensor problem which I was mentioning, so we actually did a workaround for them. We built an acrylic chamber with motors and actuators and we put some water, added reagent and then with RGB camera sensor, we captured the value and started matching with the predefined ammonia values which we had. So, that was the very small component of image recognition which we used and also the larger object to being with these systems installed at many locations. The amount of data we would be capturing. We have put a simple correlation regression algorithm in the back end so that we can find out the longer term trend of the relationship between these specific water quality parameters value and the growth of the fish. So, please continue with your question. Yeah, I'll just note that we've seen quite a few solutions to they being driven by maybe more developed industrialized fisheries and so on and we rely on them to have the resources and private business to have the resources to push the envelope but it's great to see you trying to amalgamate such systems and try to operationalize them at the smaller scale. And I think this is something that if we start to look at overall the kind of program that an international agency like FAO could put on the table to help people collaborate is to and this came up yesterday with the gentleman called Tom White. It's just really putting people in touch with other people who are working on the same types of questions and making sure that those people have the right avenues to explore if they have potentially similar solutions or similar problems to bite off together. I just wanted to deepen if you could share with us a little bit how you came to do this work. What was it that said to you we need to, I have the skills or I have the need or what was it that... Yeah, actually it started with the need. So I am working with small and marginal fishing communities here in India with since last six years. So prior to that I've spent a decade in capital market so working there in algorithms and very high complex technologies was my domain. When I moved to social sector around six years back I was working with these committees then I figured out the need for appropriate technology solutions like you need to build technology solutions which are within their reach. Like it's good to have good to build very sophisticated AI module but it would be of no use for them if we can deploy this in their own backyard. So then since as you rightly mentioned like industry level solutions are there but they were not affordable for low income households backyard level like small scale aquaculture. So then I started to build my own technology around three years back and got some delayed because of COVID and other things. Yeah, but now looking forward to my pilot program but I was ready. Thank you. Matt, can I hand over to you if you've got a question? Yeah, fantastic work Deepin. I think it's really important to see that links of food security, the millions of people that are dependent on small scale production from aquatic ecosystems and also I really like the link between like water quality monitoring and productivity as well. I think like your ambition to develop your mobile app to look at sizing and biomass production is something that a form of people like this should be able to work together and particularly I think your sort of project is so so important because it has an impact on has potential impact on so many millions of people who are dependent on production for food security. So yeah, you know you've got a pathway to develop the app for measuring the size of the fish or anything that you can see or you have any direction of the moment that you can see clearly. Thanks, thanks a lot Matt for your kind word. So yeah, so as I mentioned earlier so with the final production or the final biomass so we would be measuring that with compared to the water quality monitoring data which we have captured over the past and build a correlation between the final outcome and the conditions in which the fish was grown. So that is the relationship which we are looking forward to build between these two data sets. Thank you very much, Deepin.