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Dharmendra Saraswat
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Year
A recommended calibration and validation strategy for hydrologic and water quality models
P Daggupati, N Pai, S Ale, KR Douglas-Mankin, RW Zeckoski, J Jeong, ...
Transactions of the ASABE 58 (6), 1705-1719, 2015
2412015
SWAT2009_LUC: A tool to activate the land use change module in SWAT 2009
N Pai, D Saraswat
Transactions of the ASABE 54 (5), 1649-1658, 2011
1012011
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
952021
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
932023
Hydrologic and water quality models: Key calibration and validation topics
DN Moriasi, RW Zeckoski, JG Arnold, C Baffaut, RW Malone, P Daggupati, ...
Transactions of the ASABE 58 (6), 1609-1618, 2015
822015
Smartphone-based hierarchical crowdsourcing for weed identification
M Rahman, B Blackwell, N Banerjee, D Saraswat
Computers and Electronics in Agriculture 113, 14-23, 2015
582015
Identifying priority subwatersheds in the Illinois River drainage area in Arkansas watershed using a distributed modeling approach
N Pai, D Saraswat, M Daniels
Transactions of the ASABE 54 (6), 2181-2196, 2011
462011
Field_SWAT: A tool for mapping SWAT output to field boundaries
N Pai, D Saraswat, R Srinivasan
Computers & Geosciences 40, 175-184, 2012
442012
Development and evaluation of targeted marginal land mapping approach in SWAT model for simulating water quality impacts of selected second generation biofeedstock
G Singh, D Saraswat
Environmental modelling & software 81, 26-39, 2016
412016
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
382023
Biofuels and water quality: challenges and opportunities for simulation modeling
B Engel, I Chaubey, M Thomas, D Saraswat, P Murphy, B Bhaduri
Biofuels 1 (3), 463-477, 2010
352010
The impact of temperature and shallow hydrologic conditions on the magnitude and spatial pattern consistency of electromagnetic induction measured soil electrical conductivity.
BJ Allred, MR Ehsani, D Saraswat
322005
Machine learning approaches to automate weed detection by UAV based sensors
A Etienne, D Saraswat
Autonomous air and ground sensing systems for agricultural optimization and …, 2019
312019
Hydrologic and water quality models: Documentation and reporting procedures for calibration, validation, and use
D Saraswat, JR Frankenberg, N Pai, S Ale, P Daggupati, ...
Transactions of the ASABE 58 (6), 1787-1797, 2015
302015
Comparison of electromagnetic induction, capacitively-coupled resistivity, and galvanic contact resistivity methods for soil electrical conductivity measurement.
BJ Allred, MR Ehsani, D Saraswat
302006
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
292021
A sensitivity analysis of impacts of conservation practices on water quality in L’Anguille River Watershed, Arkansas
G Singh, D Saraswat, A Sharpley
Water 10 (4), 443, 2018
272018
Design and operational parameters of a pneumatic seed metering device for planting of groundnut (Arachis hypogaea) seeds.
RC Singh, G Singh, DC Saraswat
222007
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
212021
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
172023
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