Artificial Intelligence for Smart Cities and Villages: Advanced Technologies, Development, and Challenges, 2022
According to the norms of the Indian government, Aadhaar provides singlesource identity verificat... more According to the norms of the Indian government, Aadhaar provides singlesource identity verification across the country for the residents. Currently, Aadhaar services are inadequate in our country. Even now, more than 30% of our Indian population's information is not available with the Aadhaar server. According to the 2019 population census, about 89 crores of people are residents in rural areas. In our country, due to more population and fewer resources, much of the rural people’s information is not completely informed up to the mark. Even the government is taking relevant steps to collect the right information from the rural people. In this concern, other hidden reasons are also affecting rural development such as lack of education, awareness, and nearby resources. In the existing scenario, no sufficiently advanced automation system is available for Aadhaar services in rural areas. In the view of the Aadhaar grievance service, to overcome these issues researchers have proposed...
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Papers by brahmaji godi
country like India, and agricultural intervention is essential in
rural livelihood. As per the statistical measurement, 65% of
the Indian economy is dependent on agriculture and farming.
On the other hand, various plant diseases hugely affect most
crops. In this concern, the farmer needs an effective plant leaf
disease analysis model to detect plant illness in t h e early
stages to moderate the criticality and prevent severe losses in
crop growth, quantity and production etc. In this regard, it is
possible to mention that the plant leaf disease identification
methods play a major role in protecting plants. Researchers
are working to analyze the plant diseases by using recognized
classifying techniques. Supportive, deep learning and Image
processing are the leading cutting-edge technologies used to
address these challenges. This work uses the Resnet 152 v2
model on a data set containing 7000 plant leaf pictures. The
model achieved 95% accuracy which is better than many
previous models discussed in the literature.
country like India, and agricultural intervention is essential in
rural livelihood. As per the statistical measurement, 65% of
the Indian economy is dependent on agriculture and farming.
On the other hand, various plant diseases hugely affect most
crops. In this concern, the farmer needs an effective plant leaf
disease analysis model to detect plant illness in t h e early
stages to moderate the criticality and prevent severe losses in
crop growth, quantity and production etc. In this regard, it is
possible to mention that the plant leaf disease identification
methods play a major role in protecting plants. Researchers
are working to analyze the plant diseases by using recognized
classifying techniques. Supportive, deep learning and Image
processing are the leading cutting-edge technologies used to
address these challenges. This work uses the Resnet 152 v2
model on a data set containing 7000 plant leaf pictures. The
model achieved 95% accuracy which is better than many
previous models discussed in the literature.