| A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools A Ahmad, D Saraswat, A El Gamal Smart Agricultural Technology 3, 100083, 2023 | 135 | 2023 |
| 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 | 106 | 2021 |
| A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery LG Divyanth, A Ahmad, D Saraswat Smart Agricultural Technology 3, 100108, 2023 | 55 | 2023 |
| 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 | 35 | 2021 |
| Toward generalization of deep learning-based plant disease identification under controlled and field conditions A Ahmad, A El Gamal, D Saraswat IEEE Access 11, 9042-9057, 2023 | 33 | 2023 |
| CD&S dataset: Handheld imagery dataset acquired under field conditions for corn disease identification and severity estimation A Ahmad, D Saraswat, AE Gamal, G Johal arXiv preprint arXiv:2110.12084, 2021 | 29 | 2021 |
| Identification of foliar disease regions on corn leaves using slic segmentation and deep learning under uniform background and field conditions H Phan, A Ahmad, D Saraswat IEEE Access 10, 111985-111995, 2022 | 17 | 2022 |
| 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 | 13 | 2022 |
| Comparison of deep learning models for corn disease identification, tracking, and severity estimation using images acquired from uav-mounted and handheld sensors A Ahmad, D Saraswat, A El Gamal, GS Johal 2021 ASABE Annual International Virtual Meeting, 1, 2021 | 11 | 2021 |
| 4Weed dataset: annotated imagery weeds dataset V Aggarwal, A Ahmad, A Etienne, D Saraswat arXiv preprint arXiv:2204.00080, 2022 | 3 | 2022 |
| 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 | 3 | 2022 |
| BNNDC: Branched neural network for plant disease identification A Ahmad, V Aggarwal, D Saraswat Smart Agricultural Technology 5, 100315, 2023 | 1 | 2023 |
| 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, 0, 2023 | 1 | 2023 |
| Comparison of Deep Learning Models for Corn Disease Region Location, Identification of Disease Type, and Severity Estimation Using Images Acquired From UAS-Mounted and Handheld … A Ahmad, D Saraswat, A Gamal, GS Johal Journal of the ASABE 65 (6), 1433-1442, 2022 | 1 | 2022 |
| Tar Spot Disease Identification and Severity Estimation Using Deep Learning A Ahmad, V Aggarwal, D Saraswat, GS Johal Journal of the ASABE, 0, 2024 | | 2024 |
| DEEP LEARNING-BASED COMPUTER VISION FOR DISEASE IDENTIFICATION AND MONITORING IN CORN A Ahmad Purdue University Graduate School, 2023 | | 2023 |
| Pilot Course in Data Visualization with a Multidisciplinary Approach: Technology+ Agricultural Engineering VL Byrd, D Saraswat, A Ahmad 2023 IEEE Frontiers in Education Conference (FIE), 1-9, 2023 | | 2023 |
| Real-Time Non-Contact Road Defect Detection Using Inexpensive Sensors ZX Lim, M Jahanshahi, TG Mondal, D Cheng, S Wang, MK Sweidan, ... | | 2018 |
| 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 | | |
Dharmendra SaraswatPurdue University在 purdue.edu 的电子邮件经过验证
