Ikuti
Varun Aggarwal
Varun Aggarwal
Graduate Research Assistant, Purdue University
Email yang diverifikasi di purdue.edu
Judul
Dikutip oleh
Dikutip oleh
Tahun
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
1542021
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
472021
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
142022
4Weed dataset: annotated imagery weeds dataset
V Aggarwal, A Ahmad, A Etienne, D Saraswat
arXiv preprint arXiv:2204.00080, 2022
72022
BNNDC: Branched neural network for plant disease identification
A Ahmad, V Aggarwal, D Saraswat
Smart Agricultural Technology 5, 100315, 2023
42023
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
42022
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
12024
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
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