Priority-flood: An optimal depression-filling and watershed-labeling algorithm for digital elevation models. - Richard Barnes 002; Clarence Lehman; David J. Mulla (Comput. Geosci., 2014)

An efficient assignment of drainage direction over flat surfaces in raster digital elevation models. - Richard Barnes 002; Clarence Lehman; David J. Mulla (Comput. Geosci., 2014)

Automation solutions for the evaluation of plant health in corn fields. - Dimitris Zermas; Da Teng; Panagiotis Stanitsas; Michael Bazakos; Daniel Kaiser 003; Vassilios Morellas; David J. Mulla; Nikolaos Papanikolopoulos (IROS, 2015)

Hyperspectral aerial imagery for detecting nitrogen stress in two potato cultivars. - Tyler J. Nigon; David J. Mulla; Carl J. Rosen; Yafit Cohen; Victor Alchanatis; Joseph F. Knight; Ronit Rud (Comput. Electron. Agric., 2015)

Distributed Parallel D8 Up-Slope Area Calculation in Digital Elevation Models. - Richard Barnes 002; Clarence Lehman; David J. Mulla (CoRR, 2016)

Sensor Planning for a Symbiotic UAV and UGV System for Precision Agriculture. - Pratap Tokekar; Joshua Vander Hook; David J. Mulla; Volkan Isler (IEEE Trans. Robotics, 2016)

Spatially Constrained Geodesign Optimization (GOP) for Improving Agricultural Watershed Sustainability. - Yiqun Xie; KwangSoo Yang; Shashi Shekhar 001; Brent Dalzell; David J. Mulla (AAAI Workshops, 2017)

Estimating the Leaf Area Index of crops through the evaluation of 3D models. - Dimitris Zermas; Vassilios Morellas; David J. Mulla; Nikolaos Papanikolopoulos (IROS, 2017)

Collaborative Geodesign and Spatial Optimization for Fragmentation-Free Land Allocation. - Yiqun Xie; Bryan C. Runck; Shashi Shekhar 001; Len Kne; David J. Mulla; Nicolas Jordan; Peter Wiringa (ISPRS Int. J. Geo Inf., 2017)

Spatial Variability in Precision Agriculture. - David J. Mulla (Encyclopedia of GIS, 2017)

Extracting Phenotypic Characteristics of Corn Crops Through the Use of Reconstructed 3D Models. - Dimitris Zermas; Vassilios Morellas; David J. Mulla; Nikolaos Papanikolopoulos (IROS, 2018)

Computing uncertainty in the optimum nitrogen rate using a generalized cost function. - Tyler J. Nigon; Ce Yang; David J. Mulla; Daniel E. Kaiser (Comput. Electron. Agric., 2019)

3D model processing for high throughput phenotype extraction - the case of corn. - Dimitris Zermas; Vassilios Morellas; David J. Mulla; Nikos Papanikolopoulos (Comput. Electron. Agric., 2020)

Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery. - Tyler J. Nigon; Ce Yang; Gabriel Dias Paiao; David J. Mulla; Joseph F. Knight; Fabián G. Fernández (Remote. Sens., 2020)

CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels. - Rahul Ghosh; Praveen Ravirathinam; Xiaowei Jia; Ankush Khandelwal; David J. Mulla; Vipin Kumar 001 (IEEE BigData, 2021)

Estimation of corn yield based on hyperspectral imagery and convolutional neural network. - Wei Yang 022; Tyler J. Nigon; Ziyuan Hao; Gabriel Dias Paiao; Fabián G. Fernández; David J. Mulla; Ce Yang (Comput. Electron. Agric., 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. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2021)

A Methodology for the Detection of Nitrogen Deficiency in Corn Fields Using High-Resolution RGB Imagery. - Dimitris Zermas; Henry J. Nelson; Panagiotis Stanitsas; Vassilios Morellas; David J. Mulla; Nikos Papanikolopoulos (IEEE Trans Autom. Sci. Eng., 2021)

Nitrogen Balance Index Prediction of Winter Wheat by Canopy Hyperspectral Transformation and Machine Learning. - Kai Fan 003; Fenling Li; Xiaokai Chen; Zhenfa Li; David J. Mulla (Remote. Sens., 2022)

The Influence of Aerial Hyperspectral Image Processing Workflow on Nitrogen Uptake Prediction Accuracy in Maize. - Tyler J. Nigon; Gabriel Dias Paiao; David J. Mulla; Fabián G. Fernández; Ce Yang (Remote. Sens., 2022)

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. - Chenxi Lin; Zhenong Jin; David J. Mulla; Rahul Ghosh; Kaiyu Guan; Vipin Kumar 001; Yaping Cai (Remote. Sens., 2023)

Combining Satellite and Weather Data for Crop Type Mapping: An Inverse Modelling Approach. - Praveen Ravirathinam; Rahul Ghosh; Ankush Khandelwal; Xiaowei Jia; David J. Mulla; Vipin Kumar 001 (SDM, 2024)