Ian Kropp
Cited by
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A multi-objective approach to water and nutrient efficiency for sustainable agricultural intensification
I Kropp, AP Nejadhashemi, K Deb, M Abouali, PC Roy, U Adhikari, ...
Agricultural Systems 173, 289-302, 2019
Benefits of sparse population sampling in multi-objective evolutionary computing for large-scale sparse optimization problems
I Kropp, AP Nejadhashemi, K Deb
Swarm and Evolutionary Computation 69, 101025, 2022
Evaluation of multi-and many-objective optimization techniques to improve the performance of a hydrologic model using evapotranspiration remote-sensing data
MR Herman, JS Hernandez-Suarez, AP Nejadhashemi, I Kropp, ...
Journal of Hydrologic Engineering 25 (4), 04020006, 2020
Evaluation of the impacts of hydrologic model calibration methods on predictability of ecologically-relevant hydrologic indices
JS Hernandez-Suarez, AP Nejadhashemi, IM Kropp, M Abouali, Z Zhang, ...
Journal of hydrology 564, 758-772, 2018
Improved evolutionary operators for sparse large-scale multiobjective optimization problems
I Kropp, AP Nejadhashemi, K Deb
IEEE Transactions on Evolutionary Computation 28 (2), 460-473, 2023
Impacts of municipal water–rainwater source transitions on microbial and chemical water quality dynamics at the tap
CJ Ley, CR Proctor, K Jordan, K Ra, Y Noh, T Odimayomi, R Julien, ...
Environmental Science & Technology 54 (18), 11453-11463, 2020
Harnessing machine learning techniques for mapping aquaculture waterbodies in Bangladesh
H Ferriby, AP Nejadhashemi, JS Hernandez-Suarez, N Moore, J Kpodo, ...
Remote sensing 13 (23), 4890, 2021
Agricultural Innovization: An Optimization-Driven solution for sustainable agricultural intensification in Michigan
I Kropp, AP Nejadhashemi, P Jha, JS Hernandez-Suarez
Computers and Electronics in Agriculture 199, 107143, 2022
Minimizing Expected Deviation in Upper Level Outcomes Due to Lower Level Decision Making in Hierarchical Multiobjective Problems
K Deb, Z Lu, I Kropp, JS Hernandez-Suarez, R Hussein, S Miller, ...
IEEE Transactions on Evolutionary Computation 27 (3), 505-519, 2022
A machine learning framework for predicting downstream water end-use events with upstream sensors
I Kropp, A Pouyan Nejadhashemi, R Julien, J Mitchell, AJ Whelton
Water Supply 22 (7), 6427-6442, 2022
An evolutionary multi-objective approach to sustainable agricultural water and nutrient optimization
IM Kropp
Michigan State University, 2018
A Drain Spacing Tool That Estimates the Optimum Subsurface Drain Spacing for Maximum Profit
E Ghane, AP Nejadhashemi, I Kropp
American Society of Agricultural and Biological Engineers 66 (2), 397-402, 2023
Sparse Large-Scale Multi-Objective Optimization for Climate-Smart Agricultural Innovation
IM Kropp
Michigan State University, 2022
Harnessing Machine Learning Techniques for Large-Scale Mapping of Inland Aquaculture Waterbodies in Bangladesh
H Ferriby
Michigan State University, 2021
Sustainable Agricultural Intensification through Crop Water and Nutrient Management Optimization
AP Nejadhashemi, I Kropp, K Deb, M Abouali, PC Roy, G Hoogenboom
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