Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems A Ahmad, D Saraswat, V Aggarwal, A Etienne, B Hancock Computers and Electronics in Agriculture 184, 106081, 2021 | 154 | 2021 |
Deep learning-based object detection system for identifying weeds using uas imagery A Etienne, A Ahmad, V Aggarwal, D Saraswat Remote Sensing 13 (24), 5182, 2021 | 47 | 2021 |
GeoDLS: A deep learning-based corn disease tracking and location system using RTK geolocated UAS imagery A Ahmad, V Aggarwal, D Saraswat, A El Gamal, GS Johal Remote Sensing 14 (17), 4140, 2022 | 14 | 2022 |
4Weed dataset: annotated imagery weeds dataset V Aggarwal, A Ahmad, A Etienne, D Saraswat arXiv preprint arXiv:2204.00080, 2022 | 7 | 2022 |
BNNDC: Branched neural network for plant disease identification A Ahmad, V Aggarwal, D Saraswat Smart Agricultural Technology 5, 100315, 2023 | 4 | 2023 |
Deep Learning-Based Disease Identification and Severity Estimation Tool for Tar Spot in Corn A Ahmad, V Aggarwal, D Saraswat, A El Gamal, G Johal 2022 ASABE Annual International Meeting, 1, 2022 | 4 | 2022 |
UAS and UGV-Based Disease Management System for Diagnosing Corn Diseases Above and Below the Canopy Using Deep Learning A Ahmad, V Aggarwal, D Saraswat, GS Johal Journal of the ASABE 67 (1), 161-179, 2024 | 1 | 2024 |
Tar Spot Disease Identification and Severity Estimation Using Deep Learning A Ahmad, V Aggarwal, D Saraswat, GS Johal Journal of the ASABE 67 (5), 1353-1368, 2024 | | 2024 |
Evaluating Generalizability of Deep Learning Networks for Weed Identification and their Optimization for Deploying on Edge Device V Aggarwal Purdue University, 2021 | | 2021 |
Transportation Systems J Zhang, D Li, H Zhang, F Wang, Y Chen, L Li, A Haydari, V Aggarwal, ... | | |
Datacentricdl: Impact of Training Data on Deep Learning-Based Weeds and Disease Identification for Precision Agricultural Applications V Aggarwal, A Ahmad, A Saini, D Saraswat Available at SSRN 4459037, 0 | | |