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00:28We will talk about how our army is deployed in the upper Himalaya area.
00:33We will talk about how our army is deployed in the upper Himalaya area.
00:37Sir, if we talk about how our students work and how we collect data,
00:41and where do we work?
00:44Look, we are in the entire Indian Himalaya.
00:48You speak Western Himalaya, Central Himalaya, North East Himalaya.
00:53These are our observatories.
00:55These are our mountain meteorological centers.
00:58Research and development centers.
01:00We collect all these different places.
01:04We collect all the data.
01:06We go to DGRI, DGRI, Chandigarh.
01:08We go to DGRI, DGRI, and DGRI.
01:10There are different models.
01:12These are the models.
01:14These are the models.
01:16These are the models.
01:18After all, we generate the data.
01:21After doing different channels,
01:24we have the Indian Army,
01:26the ITBP,
01:27the VRO,
01:28or the civilians.
01:29We also do it regularly.
01:31We do it regularly.
01:32When I'm talking about it,
01:33during the winter time,
01:34during the winter time,
01:36during the November 1,
01:37until April 30,
01:38the period of the Himalaya area,
01:40we give it every day.
01:41We give it to each other.
01:43Now, people,
01:44we have a lot of data collection.
01:46We have a lot of data collection.
01:47You can go to some sites
01:49and go to your observatory.
01:51Like in Uttarakhand,
01:52in the ULLI,
01:53there is also an observatory.
01:54If we talk about it,
01:55the experience of the time
01:56is that you have told us
01:58that you are the only institute
01:59that is the only institute
02:00that is the same.
02:01What is the experience of you now?
02:04We don't have time or time,
02:06because we have to do it.
02:07We have to do it.
02:08We have to do it.
02:09We have to do it.
02:10As you said,
02:11it is the only institute.
02:12And then...
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03:10I don't know how much we have created our data collection center.
03:18How much we have been in the Himalayas and especially the border area?
03:23Look, where we have been talking about the Himalayas,
03:27I am talking about the Himalayas.
03:29Where you want, you don't have the observatory.
03:33There are many difficulties.
03:35We don't have any sort of instruments.
03:42But then we have a great hope that in the next five years,
03:45as I said, in the next 20-20 grids,
03:47in every place you have a surface observatory
03:50or a switch challenges,
03:52automatic weather stations,
03:54if it will happen,
03:56then the forecasting will be better.
04:02So, this is a process.
04:04Yes, there is no more than the observatory network.
04:08There are more than the remote sensing
04:11that we have to say.
04:12Depends on it.
04:14But we are very quickly working on the DGRI.
04:18And then we will increase the network
04:21and then we will increase our young people
04:23in the HEOC victim.
04:26The same thing as when this is,
04:27how many events have we have seen in the URBAN?
04:32How many of these events have seen in URBAN?
04:34How many of these events have happened in URBAN?
04:36How many of these events have seen in URBAN?
04:37So I have to say,
04:38how many of these events have been implemented in URBAN?
04:39You know,
04:40what is your view?
04:41I've seen all the n-Lagنا,
04:42where the Indian army,
04:44all the people have found to be seen.
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06:12we will be more forecasting in which we will stay in the future.
06:19Yes, as I said, we have seen our 5th anniversary of the year, which we have seen on our own.
06:27We are planning all the automatic registration.
06:30We have started to do it.
06:32And then in one year, we are planning to do our planning.
06:39planning
06:40so
06:41I
06:42have
06:43said
06:44that
06:45when
06:46winter
06:47is
06:48going
06:49to
06:50go
06:51to
06:52work
06:53very
06:54low
06:55and
06:56very
06:57low
06:58and
06:59very
07:00low
07:01and
07:02high
07:03high
07:04high
07:05high
07:06high
07:07high
07:08higher
07:10and
07:11higher
07:15.
07:17But
07:20now
07:22maybe
07:23local
07:24local
07:25.
07:28Is
07:30resp
07:38So, there is no doubt that if we are public or civilians and we are in the defense, then we will not stay in the defense.
07:45We will give the Indian Army or the BR.
07:53But as I said, we will give the NDMA and then we will also work for them.
07:58But as I said, we should have a requirement.
08:01So, we will get to know where they want to do, where their needs are, what they want exactly.
08:09Because the local person is not able to work.
08:13Because we are working in Chandigarh or in the observatory.
08:16We will get to know more about the local person.
08:20The people who have experienced the understanding and experience, they work very well.
08:24When was there? When was there? When was there?
08:27How is the state of the mountain? How is the state of the mountain?
08:29The state of the mountain is not easy to go to the local government.
08:33So, the local person is not able to work without them.
08:39So, there is no help from both sides.
08:42So, there is no help in the defense.
08:44So, we will not give them.
08:46We will give them good.
08:48If we don't give them, then who will give them?
08:50Sir, the last question is,
08:52the AI has come to the artificial intelligence.
08:55Will this help you?
08:57I would like to say,
09:00I would like to say,
09:01what is the help?
09:02Because we have started the work on it.
09:03Artificial intelligence, machine learning,
09:05AI, ML, AI, ML.
09:07I have shown you a few,
09:094-5 models.
09:11We have seen the data in the model.
09:13The data is generated.
09:14The data is generated.
09:15That's what we are using,
09:17AI, ML.
09:18We are using it.
09:19At this time,
09:21in the AI, ML,
09:22we are using all of different techniques on the day.
09:24We will put different technology on the day.
09:26But, we have already been using it.
09:28Machine learning.
09:29Thank you very much.
