David J. Mulla

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 19

Top Topics

Digital Elevation Models

Satellite Imagery

Top Venues

Comput. Electron. Agric.

Publications

Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. SDM (2024)
Praveen Ravirathinam, Rahul Ghosh, Ankush Khandelwal, Xiaowei Jia, David J. Mulla, Vipin Kumar
Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. CoRR (2024)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
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. 15 (1) (2023)
Tyler J. Nigon, Gabriel Dias Paiao, David J. Mulla, Fabián G. Fernández, Ce Yang
The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize. Remote. Sens. 14 (1) (2022)
Kai Fan, Fenling Li, Xiaokai Chen, Zhenfa Li, David J. Mulla
Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning. Remote. Sens. 14 (14) (2022)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. IEEE BigData (2021)
Wei Yang, Tyler J. Nigon, Ziyuan Hao, Gabriel Dias Paiao, Fabián G. Fernández, David J. Mulla, Ce Yang
Estimation of corn yield based on hyperspectral imagery and convolutional neural network. Comput. Electron. Agric. 184 (2021)
Rahul Ghosh, Praveen Ravirathinam, Xiaowei Jia, Ankush Khandelwal, David J. Mulla, Vipin Kumar
CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. CoRR (2021)
Dimitris Zermas, Henry J. Nelson, Panagiotis Stanitsas, Vassilios Morellas, David J. Mulla, Nikos Papanikolopoulos
A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery. IEEE Trans Autom. Sci. Eng. 18 (4) (2021)
Chenxi Lin, Zhenong Jin, David J. Mulla, Rahul Ghosh, Kaiyu Guan, Vipin Kumar, Yaping Cai
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. 13 (9) (2021)
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikos Papanikolopoulos
3D model processing for high throughput phenotype extraction - the case of corn. Comput. Electron. Agric. 172 (2020)
Tyler J. Nigon, Ce Yang, Gabriel Dias Paiao, David J. Mulla, Joseph F. Knight, Fabián G. Fernández
Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery. Remote. Sens. 12 (8) (2020)
Tyler J. Nigon, Ce Yang, David J. Mulla, Daniel E. Kaiser
Computing uncertainty in the optimum nitrogen rate using a generalized cost function. Comput. Electron. Agric. 167 (2019)
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
Extracting Phenotypic Characteristics of Corn Crops Through the Use of Reconstructed 3D Models. IROS (2018)
Yiqun Xie, KwangSoo Yang, Shashi Shekhar, Brent Dalzell, David J. Mulla
Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. AAAI Workshops (2017)
Dimitris Zermas, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
Estimating the Leaf Area Index of crops through the evaluation of 3D models. IROS (2017)
Yiqun Xie, Bryan C. Runck, Shashi Shekhar, Len Kne, David J. Mulla, Nicolas Jordan, Peter Wiringa
Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. ISPRS Int. J. Geo Inf. 6 (7) (2017)
Richard Barnes, Clarence Lehman, David J. Mulla
Distributed Parallel D8 Up-Slope Area Calculation in Digital Elevation Models. CoRR (2016)
Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler
Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture. IEEE Trans. Robotics 32 (6) (2016)
Richard Barnes, Clarence Lehman, David J. Mulla
Priority-Flood: An Optimal Depression-Filling and Watershed-Labeling Algorithm for Digital Elevation Models. CoRR (2015)
Tyler J. Nigon, David J. Mulla, Carl J. Rosen, Yafit Cohen, Victor Alchanatis, Joseph F. Knight, Ronit Rud
Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars. Comput. Electron. Agric. 112 (2015)
Dimitris Zermas, Da Teng, Panagiotis Stanitsas, Michael Bazakos, Daniel Kaiser, Vassilios Morellas, David J. Mulla, Nikolaos Papanikolopoulos
Automation solutions for the evaluation of plant health in corn fields. IROS (2015)
Richard Barnes, Clarence Lehman, David J. Mulla
An Efficient Assignment of Drainage Direction Over Flat Surfaces in Raster Digital Elevation Models. CoRR (2015)
Richard Barnes, Clarence Lehman, David J. Mulla
Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models. Comput. Geosci. 62 (2014)
Richard Barnes, Clarence Lehman, David J. Mulla
An efficient assignment of drainage direction over flat surfaces in raster digital elevation models. Comput. Geosci. 62 (2014)
Pratap Tokekar, Joshua Vander Hook, David J. Mulla, Volkan Isler
Sensor planning for a symbiotic UAV and UGV system for precision agriculture. IROS (2013)