D. Saraswat

发表

Optimisation of Design and Operational Parameters of a Pneumatic Seed Metering Device for Planting Cottonseeds

R. Singh, Gurdeep Singh, D. Saraswat, 2005 .

THE IMPACT OF TEMPERATURE AND SHALLOW HYDROLOGIC CONDITIONS ON THE MAGNITUDE AND SPATIAL PATTERN CONSISTENCY OF ELECTROMAGNETIC INDUCTION MEASURED SOIL ELECTRICAL CONDUCTIVITY

Dharmendra Saraswat, B. J. Allred, D. Saraswat, 2005 .

Biofuels and water quality: challenges and opportunities for simulation modeling

Mark A. Thomas, I. Chaubey, B. Bhaduri, 2010 .

Comparative Analysis of Bioenergy Crop Impacts on Water Quality Using Static and Dynamic Land Use Change Modeling Approach

Gurdeep Singh, D. Saraswat, E. Kumar, 2020, Water.

A Sensitivity Analysis of Impacts of Conservation Practices on Water Quality in L’Anguille River Watershed, Arkansas

Gurdeep Singh, D. Saraswat, A. Sharpley, 2018 .

Effect of plant canopy shape and flowers on plant count accuracy using remote sensing imagery.

R. Ehsani, D. Saraswat, J. Leiva, 2016 .

Field_SWAT: A tool for mapping SWAT output to field boundaries

Naresh Pai, Dharmendra Saraswat, Raghavan Srinivasan, 2012, Comput. Geosci..

Identifying Priority subwatersheds using distributed modeling approach

D. Saraswat, N. Pai, M. Daniels, 2010 .

A Survey on Using Deep Learning Techniques for Plant Disease Diagnosis and Recommendations for Development of Appropriate Tools

D. Saraswat, A. E. Gamal, Aanis Ahmad, 2022, Smart Agricultural Technology.

Identification of Foliar Disease Regions on Corn Leaves Using SLIC Segmentation and Deep Learning Under Uniform Background and Field Conditions

D. Saraswat, Aanis Ahmad, Hieu Phan, 2022, IEEE Access.

Impact of Biofeedstock Production on Hydrology/Water Quality in Midwest and Southeast USA

Mark A. Thomas, I. Chaubey, B. Bhaduri, 2010 .

Flash Drought: Review of Concept, Prediction and the Potential for Machine Learning, Deep Learning Methods

S. Mishra, S. Sahany, D. Saraswat, 2022, Earth's Future.

Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems

Dharmendra Saraswat, Varun Aggarwal, Aanis Ahmad, 2021, Comput. Electron. Agric..

Hydrologic and Water Quality Models: Key Calibration and Validation Topics

Dharmendra Saraswat, Kyle R. Douglas-Mankin, Adel Shirmohammadi, 2015 .

GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery

D. Saraswat, A. E. Gamal, G. Johal, 2022, Remote. Sens..

Naresh Pai, Dharmendra Saraswat, Kyle R. Douglas-Mankin, 2015 .

Hydrologic and Water Quality Models: Documentation and Reporting Procedures for Calibration, Validation, and Use

Naresh Pai, Dharmendra Saraswat, Kyle R. Douglas-Mankin, 2015 .

Smartphone-based hierarchical crowdsourcing for weed identification

Dharmendra Saraswat, Nilanjan Banerjee, Mahbubur Rahman, 2015, Comput. Electron. Agric..

Evaluating remotely sensed plant count accuracy with differing unmanned aircraft system altitudes, physical canopy separations, and ground covers

Dharmendra Saraswat, Reza Ehsani, Ying She, 2017 .

SWAT2009_LUC: A Tool to Activate the Land Use Change Module in SWAT 2009

Naresh Pai, Dharmendra Saraswat, D. Saraswat, 2011 .

A two-stage deep-learning based segmentation model for crop disease quantification based on corn field imagery

D. Saraswat, L. G. Divyanth, A. Ahmad, 2022, Smart Agricultural Technology.

CD&S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation pdf

Dharmendra Saraswat, Aly El Gamal, Aanis Ahmad, 2021, ArXiv.

Toward Generalization of Deep Learning-Based Plant Disease Identification Under Controlled and Field Conditions

D. Saraswat, A. E. Gamal, A. Ahmad, 2023, IEEE Access.

Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery

Dharmendra Saraswat, Varun Aggarwal, Aanis Ahmad, 2021, Remote. Sens..

Machine learning approaches to automate weed detection by UAV based sensors

Dharmendra Saraswat, Aaron Etienne, D. Saraswat, 2019, Defense + Commercial Sensing.

BNNDC: Branched Neural Network for Plant Disease Identification

D. Saraswat, Varun Aggarwal, A. Ahmad, 2023, Smart Agricultural Technology.

LUU CHECKER: A Web-based Tool to Incorporate Emerging LUs in the SWAT Model

Naresh Pai, Dharmendra Saraswat, Gurdeep Singh, 2019, Applied Engineering in Agriculture.

Pilot Course in Data Visualization with a Multidisciplinary Approach: Technology+Agricultural Engineering

Vetria L. Byrd, D. Saraswat, A. Ahmad, 2023, 2023 IEEE Frontiers in Education Conference (FIE).

Development and evaluation of targeted marginal land mapping approach in SWAT model for simulating water quality impacts of selected second generation biofeedstock

Dharmendra Saraswat, Gurdeep Singh, Gurdeep Singh, 2016, Environ. Model. Softw..

A geospatial tool for delineating streambanks

Naresh Pai, Dharmendra Saraswat, D. Saraswat, 2013, Environ. Model. Softw..