Recognition of diseases of maize crop using deep learning models. - Md. Ashraful Haque; Sudeep Marwaha; Chandan Kumar Deb; Sapna Nigam; Alka Arora (Neural Comput. Appl., 2023)

Deep transfer learning model for disease identification in wheat crop. - Sapna Nigam; Rajni Jain; Sudeep Marwaha; Alka Arora; Md. Ashraful Haque; Akshay Dheeraj; Vaibhav Kumar Singh (Ecol. Informatics, 2023)

Machine Learning-Optimized Compact Frequency Reconfigurable Antenna With RSSI Enhancement for Long-Range Applications. - Muhammad Sani Yahya; Socheatra Soeung; Sharul Kamal Abdul Rahim; Umar Musa; Saeed S. Ba Hashwan; Md. Ashraful Haque (IEEE Access, 2024)

An enhanced vision transformer network for efficient and accurate crop disease detection. - Md. Ashraful Haque; Chandan Kumar Deb; Pushkar Gole; Sayantani Karmakar; Akshay Dheeraj; Mehraj Ul Din Shah; Subrata Dutta 002; M. K. Prasanna Kumar; Sudeep Marwaha (Expert Syst. Appl., 2025)

PanicleDet: a deep learning-based model for detection of panicle stages in paddy. - Himanshushekhar Chaurasia; Alka Arora; Dhandapani Raju; Sudeep Marwaha; Viswanathan Chinnusamy; Rajni Jain; Md. Ashraful Haque (Neural Comput. Appl., 2025)

A lightweighted densely connected network for insect-pest identification in cotton crop. - Shalini Kumari; Sudeep Marwaha; Md. Ashraful Haque; Harsh Sachan; Chandan Kumar Deb; Shashi Dahiya; Alka Arora; P. R. Shashank (Neural Comput. Appl., 2025)