Travis J. Esau

1.9k total citations · 1 hit paper
91 papers, 1.2k citations indexed

About

Travis J. Esau is a scholar working on Plant Science, Environmental Engineering and Cell Biology. According to data from OpenAlex, Travis J. Esau has authored 91 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Plant Science, 22 papers in Environmental Engineering and 16 papers in Cell Biology. Recurrent topics in Travis J. Esau's work include Smart Agriculture and AI (30 papers), Berry genetics and cultivation research (24 papers) and Plant Disease Management Techniques (18 papers). Travis J. Esau is often cited by papers focused on Smart Agriculture and AI (30 papers), Berry genetics and cultivation research (24 papers) and Plant Disease Management Techniques (18 papers). Travis J. Esau collaborates with scholars based in Canada, United States and Qatar. Travis J. Esau's co-authors include Aitazaz A. Farooque, Qamar U. Zaman, Arnold W. Schumann, Farhat Abbas, Bishnu Acharya, Hassan Afzaal, Young Chang, Patrick J. Hennessy, David Percival and Dominic Groulx and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Nano Energy.

In The Last Decade

Travis J. Esau

81 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Precision Irrigation Management Using Machine Learning and Digital Farming Solutions

2022 140 citations Travis J. Esau et al. profile →

Peers

Travis J. Esau

ECOLO

WST

Amaia Ortiz‐Barredo Spain

Louis Kouadio Australia

Geng Bai United States

Yeyin Shi United States

Zhao Zhang China

Feixiang Zheng China

Dharmendra Saraswat United States

Rebecca L. Whetton Belgium

Liyuan Zhang China

Qamar U. Zaman Canada

Amaia Ortiz‐Barredo Spain

Travis J. Esau

1.1k ×1.4

210 ×0.8

222 ×1.0

ECOLO

335 ×2.3

146 ×1.0

WST

Citations per year, relative to Travis J. Esau Travis J. Esau (= 1×) peers Amaia Ortiz‐Barredo

Countries citing papers authored by Travis J. Esau

Since Specialization

Citations

This map shows the geographic impact of Travis J. Esau's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Travis J. Esau with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Travis J. Esau more than expected).

Fields of papers citing papers by Travis J. Esau

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Travis J. Esau. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Travis J. Esau. The network helps show where Travis J. Esau may publish in the future.

Co-authorship network of co-authors of Travis J. Esau

This figure shows the co-authorship network connecting the top 25 collaborators of Travis J. Esau. A scholar is included among the top collaborators of Travis J. Esau based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Travis J. Esau. Travis J. Esau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Al-Mallahi, Ahmad, et al.. (2025). Accurate estimation of tuber size in large potato throughput at potato storage using machine vision and machine learning techniques. Smart Agricultural Technology. 10. 100860–100860. 2 indexed citations

Hassan, Muhammad, Khabat Khosravi, Travis J. Esau, et al.. (2025). Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights. Atmospheric Environment X. 26. 100335–100335.

Esau, Travis J., et al.. (2025). Time-of-flight-based advanced surface reconstruction methods for real-time volume estimation of bulk harvested wild blueberries. Smart Agricultural Technology. 11. 101050–101050. 1 indexed citations

Karbasi, Masoud, Suqi Liu, Travis J. Esau, et al.. (2025). A state-of-the-art novel approach to predict potato crop coefficient (Kc) by integrating advanced machine learning tools. Smart Agricultural Technology. 11. 100896–100896. 2 indexed citations

Farooque, Aitazaz A., et al.. (2025). Assessment of pan coefficient performance: A comparative study of empirical and model-driven approaches using a hill-climbing-based alternating model tree and MOORA. Ecological Informatics. 90. 103237–103237.

Esau, Travis J., et al.. (2025). Enhanced Image Annotation in Wild Blueberry (Vaccinium angustifolium Ait.) Fields Using Sequential Zero-Shot Detection and Segmentation Models. Sensors. 25(23). 7325–7325.

Singh, Sukhjinder, et al.. (2025). Recent progress in triboelectric nano-generators: Powering the future of smart agriculture. Nano Energy. 146. 111502–111502.

Farooque, Aitazaz A., et al.. (2025). Optimizing potato yield mapping and prediction: Integrating satellite-based remote sensing and machine learning for sustainable agriculture. Computers and Electronics in Agriculture. 237. 110636–110636. 2 indexed citations

Hassan, Muhammad, et al.. (2024). Prediction of carbon dioxide emissions from Atlantic Canadian potato fields using advanced hybridized machine learning algorithms – Nexus of field data and modelling. SHILAP Revista de lepidopterología. 9. 100559–100559. 4 indexed citations

10.

Esau, Travis J., et al.. (2024). Integration of machine learning models with real-time global positioning data to automate the wild blueberry harvester. Precision Agriculture. 26(1). 1 indexed citations

11.

Esau, Travis J., et al.. (2024). Exploiting 2D Neural Network Frameworks for 3D Segmentation Through Depth Map Analytics of Harvested Wild Blueberries (Vaccinium angustifolium Ait.). Journal of Imaging. 10(12). 324–324. 2 indexed citations

12.

Kaur, A., et al.. (2024). Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review. IEEE Access. 12. 193902–193922. 1 indexed citations

13.

Malekian, Raheleh, Aitazaz A. Farooque, Phillip Harder, et al.. (2024). Topography‐driven variability in soil greenhouse gas emissions during potato growth season. Soil Use and Management. 40(4).

14.

Esau, Travis J., et al.. (2024). Development of a novel precision applicator for spot treatment of granular agrochemical in wild blueberry. Scientific Reports. 14(1). 13751–13751. 3 indexed citations

15.

Esau, Travis J., et al.. (2024). Enhancing surface drainage mapping in eastern Canada with deep learning applied to LiDAR-derived elevation data. Scientific Reports. 14(1). 10016–10016. 1 indexed citations

16.

Esau, Travis J., et al.. (2024). Leveraging Zero-Shot Detection Mechanisms to Accelerate Image Annotation for Machine Learning in Wild Blueberry (Vaccinium angustifolium Ait.). Agronomy. 14(12). 2830–2830. 3 indexed citations

17.

Esau, Travis J., et al.. (2024). Optimizing data collection requirements for machine learning models in wild blueberry automation through the application of DALL-E 2. SHILAP Revista de lepidopterología. 10. 100764–100764. 3 indexed citations

18.

Esau, Travis J., Aitazaz A. Farooque, Qamar U. Zaman, et al.. (2023). Deep learning supported machine vision system to precisely automate the wild blueberry harvester header. Scientific Reports. 13(1). 10198–10198. 4 indexed citations

19.

Mahmud, Md Sultan, Qamar U. Zaman, Travis J. Esau, et al.. (2020). Real-Time Detection of Strawberry Powdery Mildew Disease Using a Mobile Machine Vision System. Agronomy. 10(7). 1027–1027. 24 indexed citations

20.

Farooque, Aitazaz A., Qamar U. Zaman, Ali Madani, et al.. (2011). Ecological impacts of the N-viro biosolids land-application for wild blueberry ( Vaccinium angustifolium. Ait) production in Nova Scotia. Journal of Environmental Science and Health Part B. 46(4). 366–379. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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