Arnold W. Schumann

According to our database, Arnold W. Schumann authored at least 10 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

PhytoSynth: Leveraging Multi-modal Generative Models for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach.

Nitin Rai, Arnold W. Schumann, Nathan Boyd

CoRR, May, 2025

PhytoSynth: Leveraging Multi-modal Generative Model for Crop Disease Data Generation with Novel Benchmarking and Prompt Engineering Approach.

Nitin Rai, Arnold W. Schumann, Nathan Boyd

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

A mobile application to identify poison ivy (Toxicodendron radicans) plants in real time using convolutional neural network.

Renato Herrig Furlanetto, Arnold W. Schumann, Nathan Boyd

Multim. Tools Appl., June, 2024

2021

Hair Fescue and Sheep Sorrel Identification Using Deep Learning in Wild Blueberry Production.

Patrick Hennessy, Travis J. Esau, Aitazaz A. Farooque, Arnold W. Schumann, Qamar U. Zaman, Kenneth W. Corscadden

Remote. Sens., 2021

Detection of a Potato Disease (Early Blight) Using Artificial Intelligence.

Hassan Afzaal, Aitazaz A. Farooque, Arnold W. Schumann, Nazar Hussain, Andrew McKenzie-Gopsill, Travis J. Esau, Farhat Abbas, Bishnu Acharya

Remote. Sens., 2021

Deep Learning Techniques for In-Crop Weed Identification: A Review.

Kun Hu, Zhiyong Wang, Guy R. Y. Coleman, Asher Bender, Tingting Yao, Shan Zeng, Dezhen Song, Arnold W. Schumann, Michael J. Walsh

CoRR, 2021

Application of deep learning to detect Lamb's quarters (<i>Chenopodium album</i> L.) in potato fields of Atlantic Canada.

Nazar Hussain, Aitazaz A. Farooque, Arnold W. Schumann, Farhat Abbas, Bishnu Acharya, Andrew McKenzie-Gopsill, Ryan Barrett, Hassan Afzaal, Qamar U. Zaman, Muhammad Jehanzeb Masud Cheema

Comput. Electron. Agric., 2021

2020

Design and Development of a Smart Variable Rate Sprayer Using Deep Learning.

Nazar Hussain, Aitazaz A. Farooque, Arnold W. Schumann, Andrew McKenzie-Gopsill, Travis J. Esau, Farhat Abbas, Bishnu Acharya, Qamar U. Zaman

Remote. Sens., 2020

Estimation of water table depth using DUALEM-2 system.

Aitazaz A. Farooque, Fahad S. Khan, Qamar U. Zaman, T. J. Easu, Arnold W. Schumann

Comput. Electron. Agric., 2020

2019

Development and field evaluation of a machine vision based in-season weed detection system for wild blueberry.

Tanzeel U. Rehman, Qamar U. Zaman, Young K. Chang, Arnold W. Schumann, Kenneth W. Corscadden

Comput. Electron. Agric., 2019