PK
Kumari Prity
Anand Agricultural University, State Finance Commission Patna, Banaras Hindu University, G. B. P. University of Agriculture & technology, India Ministry of Statistics and Programme Implementation
0000-0002-8712-668X
About
Experienced Assistant Professor with demonstrated capabilities of working in the higher education. Research area of interest includes Time series forecasting using statistical models and Deep Learning AI which includes Autoregressive Integrated Moving Average (ARIMA), Autoregressive Conditional Hetroscedasticity (ARCH/GARCH), Artificial Neural network (ANN), Machine learning, Recurrent Neural network (RNN), Image processing, OpenCV, Convolution Neural Network (CNN) and IoT.
Employment
-
Anand Agricultural University Associate Prof. & Head2025 - Present
-
Anand Agricultural University Assistant Prof. & Head2015 - 2025
-
State Finance Commission Patna Consultant2014 - 2015
-
India Ministry of Statistics and Programme Implementation Statistical Consultant2013 - 2014
Education
-
Banaras Hindu University Doctorate2009 - 2013
-
G. B. P. University of Agriculture & technology Masters
-
Kumaun University Graduation
Projects & Funding
Projects & funding information is unavailable.
Publications (30)
- Attention-driven depthwise Convolution Neural Network for potato disease classification Save
- Exposing the genetic diversity of kalmegh [Andrographis paniculata (Burm. F.) Nees] germplasm through morpho-biochemical traits and SSR markers Save
- Exogenous variable driven cotton prices prediction: comparison of statistical model with sequence based deep learning models Save
- Forecasting Potato Prices in Agra: Comparison of Linear Time Series Statistical vs. Neural Network Models Save
- Optimization of Deep Convolution for Potato Disease Detection Save
- Comparative Economic Impact of Green Energy Investments: Evidence from India, USA, Germany, and Denmark Save
- Transforming oil market analysis: A novel GAN + LSTM predictive framework Save
- Factors Influencing Farmers to Adopt Potato Contract Farming in Gujarat Save
- CropBreeding: Stability Analysis in Crop Breeding Save
- Deep Learning Approaches for Crop Disease Classification: Adapting to Environmental Challenges and Hazy Conditions Save