Varun Aggarwal
Computer Science · Purdue University West Lafayette
Publications
62
Citations
1,128
Est. group size
~1
Recurring co-author estimate
Active years
23
Publishing since 2003
Varun Aggarwal's work spans two main areas: using drones (UAS), ground robots, and deep learning to detect and manage crop diseases and weeds in agriculture, and building automated systems for assessing human skills, such as scoring video interviews, emails, programming exercises, and speech. Earlier work also touches on memristors (a type of electronic memory component) and educational technology. The overall focus is on applying machine learning and sensing technologies to practical detection and assessment problems.
Publication output has been fairly steady but modest over the last decade, averaging under two papers per year with no strong upward or downward trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- SAUCF: A Framework for Secure, Natural-Language-Guided UAS Control
Drones · 2025
- UAS and UGV-Based Disease Management System for Diagnosing Corn Diseases Above and Below the Canopy Using Deep Learning
Journal of the ASABE · 2024
- Towards Building a Language-Independent Speech Scoring Assessment
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
- Tar Spot Disease Identification and Severity Estimation Using Deep Learning
Journal of the ASABE · 2024
- BNNDC: Branched neural network for plant disease identification
Smart Agricultural Technology · 2023
- UAS and UGV-Based Disease Management System for Diagnosing Corn Diseases Above and Below the Canopy Using Deep Learning
2023
- GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery
Remote Sensing · 2022
- Meritocracy Enabled by Technology, Grounded in Science
2022
- Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems
Computers and Electronics in Agriculture · 2021
- Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery
Remote Sensing · 2021
- Grading video interviews with fairness considerations
arXiv (Cornell University) · 2020
- Grading emails and generating feedback.
Educational Data Mining · 2019
- Grading Uncompilable Programs
Proceedings of the AAAI Conference on Artificial Intelligence · 2019
- Skill evaluation
Communications of the ACM · 2019
- The Detectors Used in the First Radios were Memristors
2019
- Remote Sensing×2
- Journal of the ASABE×2
- Educational Data Mining×2
- Proceedings of the AAAI Conference on Artificial Intelligence×2
- Computers and Electronics in Agriculture×1
- Kenneth De Jong
Computer Science · Indiana University
- David Hibler
Computer Science · The Ohio State University
- K. K. Mishra
Computer Science · Purdue University West Lafayette
- Bryce Himebaugh
Computer Science · Indiana University
- Guoyu Chen
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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