David J. Mulla

30 papers A 5Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 — conf
Subterra: Estimating Soil Moisture at Root Zone Depths Using Science-Guided Learning.
CAI
Paahuni Khandelwal, Jeffrey D. Niemann, David J. Mulla, Shrideep Pallickara, Sangmi Lee Pallickara
2025 J jnl
Towards Fine-Tuning-Based Site Calibration for Knowledge-Guided Machine Learning: A Summary of Results.
CoRR
Ruolei Zeng, Arun Sharma, Shuai An, Mingzhou Yang, Shengya Zhang, Licheng Liu, David J. Mulla, Shashi Shekhar
2025 — conf
Towards Surrogate Models with Hybrid Spatial Neural Networks: A Summary of Results.
GeoSim@SIGSPATIAL
Shengya Zhang, Arun Sharma, Majid Farhadloo, Mingzhou Yang, Ruolei Zeng, Subhankar Ghosh, Yao Zhang, Mu Hong, Licheng Liu, David J. Mulla, Shashi Shekhar
2024 A conf
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
SDM
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2024 J jnl
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach.
CoRR
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
2023 J jnl
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.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2022 J jnl
Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning.
Remote. Sens.
Kai Fan, Fenling Li, Xiaokai Chen, Zhenfa Li, David J. Mulla
2022 J jnl
The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize.
Remote. Sens.
Tyler J. Nigon, Gabriel Dias Paiao, David J. Mulla, Fabián G. Fernández, Ce Yang
2021 J jnl
A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery.
IEEE Trans Autom. Sci. Eng.
Dimitris Zermas, Henry J. Nelson, Panagiotis Stanitsas, Vassilios Morellas, David J. Mulla, Nikos Papanikolopoulos
2021 — conf
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
IEEE BigData
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 J jnl
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels.
CoRR
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
2021 J jnl
Estimation of corn yield based on hyperspectral imagery and convolutional neural network.
Comput. Electron. Agric.
Wei Yang, Tyler J. Nigon, Ziyuan Hao, Gabriel Dias Paiao, Fabián G. Fernández, David J. Mulla, Ce Yang
2021 J jnl
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.
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
2020 J jnl
3D model processing for high throughput phenotype extraction - the case of corn.
Comput. Electron. Agric.
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikos Papanikolopoulos
2020 J jnl
Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery.
Remote. Sens.
Tyler J. Nigon, Ce Yang, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight, Fabián G. Fernández
2019 J jnl
Computing uncertainty in the optimum nitrogen rate using a generalized cost function.
Comput. Electron. Agric.
Tyler J. Nigon, Ce Yang, David J. Mulla, Daniel E. Kaiser
2018 A conf
Extracting Phenotypic Characteristics of Corn Crops Through the Use of Reconstructed 3D Models.
IROS
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
2017 J jnl
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation.
ISPRS Int. J. Geo Inf.
Yiqun Xie, Bryan C. Runck, Shashi Shekhar, Len Kne, David J. Mulla, Nicolas Jordan, Peter Wiringa
2017 A conf
Estimating the Leaf Area Index of crops through the evaluation of 3D models.
IROS
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
2017 — ch.
Spatial Variability in Precision Agriculture.
Encyclopedia of GIS
David J. Mulla
2017 — conf
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability.
AAAI Workshops
Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla
2016 J jnl
Distributed Parallel D8 Up-Slope Area Calculation in Digital Elevation Models.
CoRR
Richard Barnes, Clarence Lehman, David J. Mulla
2016 J jnl
Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture.
IEEE Trans. Robotics
Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler
2015 J jnl
An Efficient Assignment of Drainage Direction Over Flat Surfaces in Raster Digital Elevation Models.
CoRR
Richard Barnes, Clarence Lehman, David J. Mulla
2015 A conf
Automation solutions for the evaluation of plant health in corn fields.
IROS
Dimitris Zermas, Da Teng, Panagiotis Stanitsas, Michael Bazakos, Daniel Kaiser, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
2015 J jnl
Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars.
Comput. Electron. Agric.
Tyler J. Nigon, David J. Mulla, Carl J. Rosen, Yafit Cohen, Victor Alchanatis, Joseph F. Knight, Ronit Rud
2015 J jnl
Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models.
CoRR
Richard Barnes, Clarence Lehman, David J. Mulla
2014 J jnl
An efficient assignment of drainage direction over flat surfaces in raster digital elevation models.
Comput. Geosci.
Richard Barnes, Clarence Lehman, David J. Mulla
2014 J jnl
Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models.
Comput. Geosci.
Richard Barnes, Clarence Lehman, David J. Mulla
2013 A conf
Sensor planning for a symbiotic UAV and UGV system for precision agriculture.
IROS
Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler