1. A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder. (22nd July 2021) Authors: Mandal, Dipankar; Chatterjee, Arpitam; Tudu, Bipan Journal: Concurrency and computation Issue: Volume 34:Number 1(2022) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Identification of the types of disease for tomato plants using a modified gray wolf optimization optimized MobileNetV2 convolutional neural network architecture driven computer vision framework. (13th July 2022) Authors: Mukherjee, Gunjan; Chatterjee, Arpitam; Tudu, Bipan Journal: Concurrency and computation Issue: Volume 34:Number 22(2022) Page Start: n/a Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗