The Indian Meteorological Department (IMD) has launched a new Artificial Intelligence (AI) based system in a major technological change in the weather forecasting system. Through this new technology, now the information related to rain and weather will not be limited only to the city or district level, but accurate forecast will be available up to the level of farm, village, street and locality.
According to sources, in this AI system, forecast will be prepared at a very micro level by analyzing satellite data, radar input and local weather patterns. With this, farmers, common citizens and disaster management agencies will be able to get more accurate information in time.
Experts say that this technology can prove to be extremely useful for the agricultural sector, because now farmers will be able to take crop management decisions more accurately based on the probability of rain and weather conditions at their field level.
According to Indian Meteorological Department (IMD) officials, the main objective of this system is to increase the accuracy of weather forecast and reduce the damage caused by natural disasters. Through this, situations like floods, storms and excessive rains can be predicted better than before.
Meteorologists believe that the use of AI technology will speed up data processing and changes at the local level can also be tracked immediately. This will make the weather alert system more effective.
Farmer organizations have welcomed this initiative and said that if this system is implemented properly, the risks associated with farming can be reduced to a great extent. This technology can play an important role in making crop protection strategies especially during monsoon.
However, experts also believe that the success of this system will depend on its data network, accurate calibration and digital reach in rural areas.
At present, this new AI initiative of IMD is being considered as a big technological step in the field of meteorology, which is expected to make weather forecast in India more modern and locally accurate in future.
