David J. Mulla

Orcid: 0000-0001-7040-5888

Affiliations:
  • University of Minnesota, Department of Soil, Water, & Climate, Minneapolis, MN, USA


According to our database1, David J. Mulla authored at least 22 papers between 2014 and 2024.

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Bibliography

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

3D model processing for high throughput phenotype extraction - the case of corn.
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
Spatial Variability in Precision Agriculture.
Proceedings of the Encyclopedia of GIS., 2017

Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation.
ISPRS Int. J. Geo Inf., 2017

Estimating the Leaf Area Index of crops through the evaluation of 3D models.
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
Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture.
IEEE Trans. Robotics, 2016

Distributed Parallel D8 Up-Slope Area Calculation in Digital Elevation Models.
CoRR, 2016

2015
Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars.
Comput. Electron. Agric., 2015

Automation solutions for the evaluation of plant health in corn fields.
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


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