Researchers at IIT Mandi in Himachal Pradesh have developed the best and most efficient technology for potato cultivators, now they can detect crop failure through photos. Researchers have developed a computer app with a complex computational model that will be able to detect scorch disease using pictures of potato leaves. It will find out that this achievement has been made under the guidance of Dr. Srikant Srinivasan, Associate Professor, School of Computing and Electrical Engineering, IIT Mandi in collaboration with Central Potato Research Institute (CPRI), Shimla. In this research, Artificial Intelligence (AI) technology has been successful in detecting diseased parts of leaves.
will know in time
Potato usually suffers from blight and if it is not stopped in time, the entire crop gets spoiled in a week. For its investigation, experts have to go to the fields. Its disease is detected after careful examination. But now with this new technology, only holiday photos will help to find out whether the crop is diseased or not. Once it is found on investigation that the crop is going to be damaged, then the crop can be saved by using insecticides in time.
How does this work
This app will confirm in real-time whether the leaf is deteriorating or not by taking a photo of diseased looking leaves. The farmer will know in time when to spray the field to prevent disease so that the yield is not damaged. Also, it prevents wastage of money due to fungicide.
’98 percent results came positive’
Dr. Srikanth Srinivasan, who was involved in this research, said that so far 98 percent of its results have come positive. Special emphasis has been laid on making this model effective across the country. Following the success of this model, the IIT Mandi team is shrinking it to around 10MB so that it can be easily available as an application on a smartphone.
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