David J. Mulla
Orcid: 0000-0001-7040-5888Affiliations:
- University of Minnesota, Department of Soil, Water, & Climate, Minneapolis, MN, USA
According to our database1,
David J. Mulla
authored at least 23 papers
between 2013 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Subterra: Estimating Soil Moisture at Root Zone Depths Using Science-Guided Learning.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025
2024
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
2023
Correction: Lin et al. Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco. Remote Sens. 2021, 13, 1740.
Remote. Sens., January, 2023
2022
The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize.
Remote. Sens., 2022
Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning.
Remote. Sens., 2022
2021
A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery.
IEEE Trans Autom. Sci. Eng., 2021
Toward Large-Scale Mapping of Tree Crops with High-Resolution Satellite Imagery and Deep Learning Algorithms: A Case Study of Olive Orchards in Morocco.
Remote. Sens., 2021
Estimation of corn yield based on hyperspectral imagery and convolutional neural network.
Comput. Electron. Agric., 2021
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery.
Remote. Sens., 2020
Comput. Electron. Agric., 2020
2019
Computing uncertainty in the optimum nitrogen rate using a generalized cost function.
Comput. Electron. Agric., 2019
2018
Extracting Phenotypic Characteristics of Corn Crops Through the Use of Reconstructed 3D Models.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
2017
Proceedings of the Encyclopedia of GIS., 2017
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation.
ISPRS Int. J. Geo Inf., 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
CoRR, 2016
2015
Comput. Electron. Agric., 2015
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015
2014
An efficient assignment of drainage direction over flat surfaces in raster digital elevation models.
Comput. Geosci., 2014
Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models.
Comput. Geosci., 2014
2013
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013