Researchers at IIT Mandi, Himachal Pradesh, have developed the best and working technique for the farmers of a potato cultivator, so that the crop failure can be detected only from the photo. Researchers have prepared a computer app with complex computational model, which will be able to detect blight disease from the photo of potato leaves. Will put This feat has been done in association with Central Potato Research Institute (CPRI), Shimla under the guidance of Dr. Srikant Srinivasan, Associate Professor, School of Computing and Electrical Engineering, IIT Mandi. In this research, Artificial Intelligence (AI) technology has succeeded in detecting diseased parts of leaves.
Will know in time
Potatoes usually suffer from blight disease and if it is not stopped on time, then the entire crop gets spoiled in just a week. To check this, experts have to go to the fields. Its disease is detected after careful examination. But now after this new technology, only the photo of the leaves will be able to know whether the crop is diseased or not. After checking, if you come to know that the crop is going to be damaged, then the crop can be saved by using insecticides in time.
will work like this
By taking photos of diseased looking leaves from this app, this app will confirm in real time whether the leaf is getting damaged or not. The farmer will know in time when to spray to prevent disease in the field, so that the yield does not get spoiled. Also, do not waste money for fungicide.
’98 percent results came positive’
Dr. Shrikant Srinivasan, who was involved in this research, said that so far 98 percent of its results have come positive. Special emphasis has been given to make this model work across the country. After the success of this model, the team of IIT Mandi is making it smaller to about 10 MB, so that it can be easily available as an application on the smartphone.
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