Survey on Machine Learning and Deep Learning Techniques for Agriculture Land. - Gurwinder Singh; Ganesh Kumar Sethi; Sartajvir Singh (SN Comput. Sci., 2021)

Automatic Rice Variety Identification System: state-of-the-art review, issues, challenges and future directions. - Komal; Ganesh Kumar Sethi; Rajesh Kumar Bawa (Multim. Tools Appl., 2023)

Improving Wheat Leaf Disease Image Classification with Point Rend Segmentation Technique. - Taruna Sharma; Ganesh Kumar Sethi (SN Comput. Sci., 2024)

An efficient posterior probability-based image fusion change detection model for the estimation of seasonal agricultural changes using microwave and optical datasets. - Narayan Vyas; Sartajvir Singh; Ganesh Kumar Sethi (Comput. Electron. Agric., 2025)

A novel image fusion-based post classification framework for agricultural variations detection using Sentinel-1 and Sentinel-2 data. - Narayan Vyas; Sartajvir Singh; Ganesh Kumar Sethi (Earth Sci. Informatics, 2025)

A comparative analysis of deep learning and deep transfer learning approaches for identification of rice varieties. - Komal Sharma; Ganesh Kumar Sethi; Rajesh Kumar Bawa (Multim. Tools Appl., 2025)