Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems. - Aanis Ahmad; Dharmendra Saraswat; Varun Aggarwal; Aaron Etienne; Benjamin Hancock (Comput. Electron. Agric., 2021)

CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation. - Aanis Ahmad; Dharmendra Saraswat; Aly El Gamal; Gurmukh Johal (CoRR, 2021)

Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery. - Aaron Etienne; Aanis Ahmad; Varun Aggarwal; Dharmendra Saraswat (Remote. Sens., 2021)

Identification of Foliar Disease Regions on Corn Leaves Using SLIC Segmentation and Deep Learning Under Uniform Background and Field Conditions. - Hieu Phan; Aanis Ahmad; Dharmendra Saraswat (IEEE Access, 2022)

4Weed Dataset: Annotated Imagery Weeds Dataset. - Varun Aggarwal; Aanis Ahmad; Aaron Etienne; Dharmendra Saraswat (CoRR, 2022)

GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery. - Aanis Ahmad; Varun Aggarwal; Dharmendra Saraswat; Aly El Gamal; Gurmukh Johal (Remote. Sens., 2022)

Pilot Course in Data Visualization with a Multidisciplinary Approach: Technology+Agricultural Engineering. - Vetria L. Byrd; Dharmendra Saraswat; Aanis Ahmad (FIE, 2023)

Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions. - Aanis Ahmad; Aly El Gamal; Dharmendra Saraswat (IEEE Access, 2023)