2023

 

2022

  1. Zhou, J.*, and P. Dubey†. 2022. Safety and health of women farmers using farm tools – a survey. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  2. Zhou, J.*, and JN. Zhou†. 2022. Soybean breeding pipeline using UAV imagery and advanced machine learning. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  3. Zhou, J.*, and A. Thomas. 2022. Conceptual design of mechanical harvesting solutions for American elderberry. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  4. Vong, C. N. †, L. S. Conway, Zhou*, N. R. Kitchen, and A. K. Sudduth. 2022. Effects of early corn emergence uniformity and growth at different planting depths estimated from UAS on final. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  5. Feng, A.†, C. N. Vong†, JN. Zhou†, L. S. Conway, Zhou, and A. K. Sudduth. 2022. Geo-referencing single images from consumer UAV using image processing. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  6. Lee, K. †, A. K. Sudduth, and Zhou*. 2022. Hay yield estimation using proximal ultrasonic and LiDAR sensing based on machine learning. 2022 ASABE Annual International Meeting. Houston, TX. July 17 – 20, 2022.
  7. Zhou, J.*, and Z. Xu†. 2022. Detect estrus in sows using a LiDAR sensor and machine learning. 15th International Conference on Precision Agriculture. International Society of Precision Agriculture (ISPA). Minneapolis, MN, June 26 – 29, 2022.
  8. Zhou, J.*, and JN. Zhou†. 2022. Toward smart soybean variety selection using UAV-based imagery and machine learning. 15th International Conference on Precision Agriculture. International Society of Precision Agriculture (ISPA). Minneapolis, MN, June 26 – 29, 2022.
  9. Ransom, J. C., C. N. Vong†, S. K. Veum, A. K. Sudduth, R. N. Kitchen and Zhou. 2022. Estimating soil carbon stocks with a Visible, Near-Infrared sensor. 15th International Conference on Precision Agriculture. International Society of Precision Agriculture (ISPA). Minneapolis, MN, June 26 – 29, 2022.
  10. Lee, K. †, A. K. Sudduth, and Zhou. 2022. Hay yield estimation using UAV-based imagery and a convolutional neural network. 15th International Conference on Precision Agriculture. International Society of Precision Agriculture (ISPA). Minneapolis, MN, June 26 – 29, 2022.
  11. Zhou, J.*, and P. Dubey†, K. Funkenbusch, M. Shannon. 2022. Analysis of Agricultural Injuries in Missouri from 2016-2021. 2022 ISASH Annual Conference. Fort Collins, CO. June 12 – June 16, 2022.
  12. Zhou, J. 2022. Developing an efficient fruit handling system for elderberries. A presentation to the Great Plains Growers Conference – 2022 Conference. St. Joseph, MO. January 7, 2022.
  13. Zhou, J. 2022. Attend the Precision Cotton Researchers’ Meeting, Virtual meeting, January 6, 2022

2021

  1. Zhou, J., Zhou. 2021. Soybean variety selection using UAV high-throughput phenotyping. 2021 ASABE Virtual Annual International Meeting, July 12 – July 15, 2021. (oral) 2021 ASABE Annual International Meeting.
  2. Feng, A.,  Zhou, E. Vories and K. Sudduth. 2021. Improvement of cotton emergence mapping and feasibility of exploring the relationship between emergence, subsequent growth and environment using UAV imagery. 2021 ASABE Virtual Annual International Meeting, July 12 – July 15, 2021.
  3. Feng, A., Zhou, E. Vories and K. Sudduth. 2021. Characteristics in cotton canopy temperature under various soil conditions at different growth stages using UAV based thermal imagery. 2021 ASABE Virtual Annual International Meeting, July 12 – July 15, 2021.
  4. Vong, C.N., L.S. Conway, Zhou, N.R. Kitchen, and K. A. Sudduth. 2021. Early corn stand count of different cropping systems using UAV-imagery and deep learning (Oral Presentation). 2021 ASABE Virtual Annual International Meeting, July 12 – July 15, 2021
  5. Vong, C.N., L.S. Conway, A. Feng, Zhou, N.R. Kitchen, and K. A. Sudduth. 2021. Corn stand uniformity estimation and mapping using UAV imagery and deep learning (Oral Presentation). 2021 ASABE Virtual Annual International Meeting, July 12 – July 15, 2021

2020

  1. Feng, A., J. Zhou , E. Vories and Sudduth. 2020. Evaluation of cotton emergence using UAV-based imagery and deep learning. 2020 ASABE Annual International Meeting, Virtual meeting, July 13 – July 16, 2020.
  2. Feng, A., K. Sudduth, E. Vories and J. Zhou. 2020. Quantify growth variation in cotton due to different soil texture and weather conditions using UAV imagery. 2020 ASABE Annual International Meeting, Virtual meeting, July 13 – July 16, 2020.
  3. Mou, H., Zhou, J. and Zhou, J., 2020. Qualification of soybean responses to flooding stress using UAV-based imagery. 2020 ASABE Annual International Virtual Meeting, July 13-15, 2020.
  4. Vong, C.N., S. Stewart, J. Zhou, N. Kitchen, K. Sudduth. 2020. Estimating corn emergence date using UAV-based imagery. 2020 ASABE Annual International Meeting, July 13 – July 15, 2020.
  5. Zhou, J., J. Zhou, H. Ye, M. Ali, P. Chen and H. Nguyen. 2020. Yield estimation of soybean breeding lines under drought stress using UAV-based imagery and convolutional neural network. 2020 ASABE Virtual Annual International Meeting, July 13 – July 15, 2020.
  6. Zhou, J. and J. Zhou. In-field reflectance calibration and automated background segmentation for UAV-based high-throughput phenotyping. 2020 ASABE Virtual Annual International Meeting, July 13 – July 15, 2020.

2019

  1. Feng, A., K. Sudduth, E. Vories, and J. Zhou*. 2019. Evaluation of cotton stand count using UAV-based hyperspectral imagery. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  2. Vong, *J. Zhou, J. A. Tooley, H. N. Naumann, and J. A. Lory. 2019. Estimating Forage dry matter and nutritive value using UAV- and ground-based sensors– a preliminary study. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  3. Fu, D., *J. Zhou, and A. Scaboo. 2019. Fast measurement of nutritive values in soybean using reflective hyperspectral imaging. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  4. Zhou, Jing, D. Yungbluth, C. Vong, A. Scaboo, and *J. Zhou. 2019. Estimation of maturity date of soybean breeding lines using UAV-based imagery. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  5. *Zhou, J., † Yin, and L. Schumacher. 2019. Development of a framework for Internet of things (oT)-based precision farming. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  6. Schumacher, L, and J. Zhou. 2019. Smart Farms and the Digital Age – A Reality. 2019 ASABE Annual International Meeting, Boston, MA, July 7 – July 10, 2019.
  7. Jing, Aijing and Chin Nee presentated their work in the Missouri Life Sciences Week 2019, April 22, 2019.
  8. † Zhou, J., H. Ye, M. L. Ali, H. Nguyen, and J. Zhou*. 2019. Discrimination of soybean leaf wilting due to drought stress using UAV-based imaging. 2019 IBE Annual Conference, St. Louis, MO, April 4 -6, 2019.
  9. † Vong, C. N., J. Zhou*, M. L. Ali, and P. Chen. 2019. Adoption of Unmanned Aerial System (UAS)-based imaging system in soybean breeding program. 2019 IBE Annual Conference, St. Louis, MO, April 4 -6, 2019. (Finalist of student competition)
  10. † Vong, C. N., J. Zhou*, J. A. Tooley, H. D. Naumann, and J. A. Lory. 2019. Estimation of forage quantity and nutritive values using unmanned aerial vehicle (UAV)-based optical sensors. American Forage & Grassland Council (AFGC) 2019 Annual Conference, St. Louis, MO, January 7 -8, 2019.

2018

  1. Zhou, J.*, † Zhou, † X. Fu, H. Ye, and H. Nguyen. 2018. Field high-throughput phenotyping in soybean drought tolerance. 2018 ASABE Annual International Meeting, Detroit, MI, July 29 – August 1, 2018.
  2. Zhou, J.*, L. Schumacher, and W. Downs. 2018. Improve energy efficiency in rural areas through UDAD Rural Energy for America Program (REAP): a case study from Missouri State. 2018 ASABE Annual International Meeting, Detroit, MI, July 29 – August 1, 2018.
  3. † Zhou, J., † Fu, S†. Zhou, and J. Zhou*. 2018. Evaluation of the performance of machine learning methods in soybean segmentation for image-based high-throughput phenotyping in greenhouse. ASABE Paper No. 1801362. St. Joseph, MI.: ASABE.
  4. † Feng, A., K. Sudduth, E. Vories, † Zhang and J. Zhou*. 2018. Cotton Yield Estimation based on Plant Height From UAV-based Imagery Data. ASABE Paper No. 1800483. St. Joseph, MI.: ASABE.
  5. † Zhou, S., H. Shi, L. Guo, W. Guo, H. Jin and J. Zhou*. 2018. Autonomous guidance for rice transplanter fusion of machine vision and global positioning system. ASABE Paper No. 1800912. St. Joseph, MI.: ASABE.
  6. Zhou, J.*, A. † Feng and K. Sudduth. 2018. Monitoring soybean growth and yield due to topographic variation using UAV-based remote sensing. In Proceedings of the 14th International Conference on Precision Agriculture. Monticello, IL: International Society of Precision Agriculture.

2017

  1. Zhou, J.*, † K. Beattie, † J. Zhou and L. Schumacher. 2017. Develop a low-cost remote monitoring and control system for poultry barn. 2017 ASABE Annual International Meeting, Spokane, WA, July 17-19, 2017.
  2. Sankaran, S., C. Zhang, J. Zhou, and R. McGee. 2017. Volatile organic compounds (VOCs) based phenotyping for disease resistance in dry peas. 2017 ASABE Annual International Meeting, Spokane, WA, July 17-19, 2017.
  3. Zhang, C., J. Zhou, M. Pumphrey, Q. Zhang, and S. Sankaran. 2017. Development of automated high-throughput phenotyping system for controlled environment studies. 2017 ASABE Annual International Meeting, Spokane, WA, July 17-19, 2017.

2016

  1. Zhou, J., L. Khot, H. Bahlol, R. A. Boydston, P. N. Miklas, and L. Porter. 2016. Evaluation of ground, proximal and aerial remote sensing technologies for crop stress monitoring. 5th IFAC Conference on Sensing, Control and Automation for Agriculture, Seattle, WA. August 14-17, 2016.
  2. Zhang, C., H. Gao, Zhou, A. Cousins and S. Sankaran. 2016. 3D robotic system development for high-throughput crop phenotyping. 5th IFAC Conference on Sensing, Control and Automation for Agriculture, Seattle, WA. August 14-17, 2016.
  3. Zhou, J., L. Khot, Boydston, P. N. Miklas, and L. Porter. 2016. Small UAS Integrated Sensing Tools for Abiotic Stress Monitoring in Irrigated Pinto Beans. 2016 13th International Conference on Precision Agriculture (ICPA), St. Louis, MO. July 31-August 3, 2016.
  4. Zhou, J., L. Khot, M. Pavek, and S. Sankaran. 2016. Low-altitude remote sensing for rapid crop loss assessment: a case study on evaluation of potato crop damage due to hailstorms. 2016 ASABE Annual International Meeting, Orlando, FL. July 17- 20, 2016.
  5. Zhou, J., L. Khot, T. Peters, M. D. Whiting, Q. Zhang, and D. Granatstein. 2016. Rain-induced cherry fruit cracking prevention: effectiveness of unmanned mid-sized helicopter generated downwash in rainwater removal from Y-trellised tree canopies. 2016 ASABE Annual International Meeting, Orlando, FL. July 17- 20, 2016.
  6. Zhou, J., and S. Sankaran. 2016. High-throughput Crop Phenotyping at Washington State University. Phenotypic Prediction: Image acquisition and analysis, Ames, IA. Feb. 23-25, 2016.
  7. Sankaran, S., J. Zhou, L. R. Khot. 2016. Remote Sensing Technologies for In-Field Specialty Crop Field Phenotyping. Plant and Animal Genome XXIV Conference, San Diego, CA. January 9-13, 2016.
  8. Zhou, J., L. Khot, T. Peters, M. D. Whiting, Q. Zhang, and D. Granatstein. 2016. Assessment on efficacy of an orchard sprayer and an unmanned helicopter in rainwater removal from cherry canopies based on an in-field sensing system. 2016 Precision Farming Expo, Kennewick, WA. January 7- 8, 2016.
  9. Zhou, J., L. Khot, M. J. Pavek, and S. Sankaran. 2016. Remote sensing based crop loss assessment: an application in the evaluation of potato crop damage due to hailstorms. 2016 Precision Farming Expo, Kennewick, WA. January 7- 8, 2016.
  10. Zhou, J., L. Khot, S. Sankaran, and R. Boydston. 2016. Estimation of yield and water use efficiency in dry beans using airborne multispectral and thermal imagery. 2016 Precision Farming Expo, Kennewick, WA. January 7- 8, 2016.

Before 2016

  1. Zhou, J., L. Khot, T. Peters, M. D. Whiting, Q. Zhang, and D. Granatstein. 2015. Feasibility study on mid-sized unmanned helicopter downwash based rainwater removal from sweet cherry canopies. Washington State Tree Fruit Association Annual Meeting (111th) Poster Session, Yakima, WA, December 7-9, 2015.
  2. Trapp, J., S. M. Moghaddam, P. E. McClean, Q. Song, J. Zhou, L. Khot, S. Sankaran, and P. N. Miklas. 2015. Characterizing traits related to drought tolerance within the Durango race of common bean. Bean Improvement Cooperative, 2015 Biennial Meeting. Niagara Falls, Ontario, Canada. November 1 – 4, 2015.
  3. Zhou, J., L. Khot, M. D. Whiting, T. Peters, Q. Zhang, and D. Granatstein. 2015. Assessment of rainwater removal efficiency of an orchard sprayer for preventing cherry cracking. 2015 ASABE Annual International Meeting, New Orleans, LA. July 26 – 29, 2015
  4. Zhou, J., S. Sankaran, L. Khot, M. O. Pumphrey, and A. H. Carter. 2015. Crop height estimation in wheat using proximal sensing techniques. 2015 ASABE Annual International Meeting, New Orleans, LA, July 26-29, 2015.
  5. Sankaran, S., L.R. Khot, J. Zhou, J. Trapp, and P.N. Miklas. 2015. Evaluating plant responses to water stress in dry bean genetic breeding populations using remote sensing technique. 2015 ASABE Annual International Meeting, New Orleans, LA. July 26 – 29, 2015.
  6. Khot, L.R., Zhou, S. Sankaran, V. Sathuvalli. 2015. Evaluation of viral infection in potatoes using proximal and remote sensing techniques. 2015 ASABE Annual International Meeting, New Orleans, LA. July 26 – 29, 2015.
  7. Zhou, J., M. Wang, P. Ellsworth, A. Cousins, S. Sankaran. 2015. Evaluation of water-use efficiency in Setaria italica using thermal imaging and visual-near infrared spectroscopy. The Western Section ASPB Meeting. Washington State University, Pullman, WA. June 26 – 28, 2015.
  8. Zhou, J., L. Khot, T. Peters, Q. Zhang, and D. Granatstein. 2014. Proof-of-concept: sensing and decision support system to prevent cherry fruit cracking due to rainwater. 2014 Washington State Horticultural Association Annual Meeting (110th) Poster Session, Kennewick, WA, December 1-3, 2014.
  9. Zhou, J., L. He, Q. Zhang, and H. J. Charvet. 2014. Field evaluation of the robotic twining prototype for high-trellis hop production. 18th World Congress of CIGR, Beijing, China, Sept. 16-19, 2014.
  10. Zhou, J., L. He, Q. Zhang, M. Karkee, P. Larbi, and S. Amatya. 2014. Effect of tree architecture on mechanical harvesting rate for sweet cherry. IHC 2014, Brisbane, Queensland, Australia, August 18-22, 2014.
  11. Tong, J., Q. Zhang, M. Karkee, H. Jiang, and Zhou. 2014. Understanding the dynamics of hand picking patterns of fresh market apples. ASABE Paper Number: 14-1898024. St. Joseph, Mich.: ASABE.
  12. Zhou, J., L. He, P. Larbi, S. Amatya, Q. Zhang, M. Karkee, and M. Whiting. 2013. Harvesting rate in cherry orchards with different architectures using a mechanical-assist shake-and-catch harvesting system. 2013 Washington State Horticultural Association Annual Meeting (109th) Poster Session, Wenatchee, WA, December 2-4, 2013.
  13. Zhou, J., L. He, M. karkee, and Q. Zhang. 2013. The effect of shaking frequency on fruit motion patterns and damage rate during cherry detaching process. ASABE Paper Number: 13-1591861 St. Joseph, Mich.: ASABE.
  14. He, L., Zhou, Q. Zhang, and M. Karkee. 2013. Evaluation of multi-pass mechanical harvest on sweet cherry. ASABE Paper Number: 12-1337766 St. Joseph, Mich.: ASABE.
  15. Ye, Y., He, J. Zhou, M. Wang, Q. Zhang, and K. Lewis. 2013. A remotely controlled bin-dog for transferring bins in orchard environments. ASABE Paper Number: 13-1596530 St. Joseph, Mich.: ASABE.
  16. Deng, X., Q. Zhang, M. Li, L. He, and J. Zhou. 2013. Detection of apple bruises caused by picking with a manipulator based on hyperspectral images. ASABE Paper Number: 13- 1596111 St. Joseph, Mich.: ASABE.
  17. Zhou, J., L. He, Q. Zhang, M. Whiting, and P. Scharf. 2012. Novel mechanical-assist harvesting system for sweet cherry. 2012 Washington State Horticultural Association Annual Meeting (108th) Poster Session, Yakima, WA, December 3-5, 2012.
  18. Zhou, J., L. He, X. Du, D. Chen, Q. Zhang, and M. Karkee. 2012. Dynamic response of sweet cherry tree to the vibration of a limb shaker. ASABE Paper Number: 12-1337429 St. Joseph, Mich.: ASABE.
  19. He, L., J. Zhou, X. Du, D. Chen, Q. Zhang, and M. Karkee. 2012. Shaking energy delivery on sweet cherry trees in different excitation modes. ASABE Paper Number: 12-1337766 St. Joseph, Mich.: ASABE.
  20. Zhao, Y., Q. Zhang, M. Li, Y. Shao, J. Zhou, and H. Sun. 2012. A multimodal image sensor system for identifying water stress in grapevines , Proc. SPIE 8527, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications IV, 852712. Kyoto, Japan, November 9, 2012.
  21. Zhou, J., L. He, P. Scharf, and Q. Zhang. 2012. Fruit removal efficiency of a mechanical shaker for sweet cherry harvest. International Symposium on Mechanical Harvesting & Handling Systems of Fruits and Nuts, Lake Alfred, FL, April 2-4, 2012.
  22. He, L., J. Zhou, P. Scharf, and Q. Zhang. 2012. Energy efficiency analysis of a mechanical shaker for sweet cherry harvest. International Symposium on Mechanical Harvesting & Handling Systems of Fruits and Nuts, Lake Alfred, FL, April 2-4, 2012.
  23. Zhou, J., L. He, Q. Zhang, and P. Scharf. 2011. Harvest Efficiency of a Mechanical Shaker for Sweet Cherry. 2011 Washington State Horticultural Association Annual Meeting (107th) Poster Session, Wenatchee, WA, December 4-6, 2011.