Yaqoob Majeeb
Assisstant Professor
Electical and Computer Engineering
Room 5032, Engineering Building
ymajeed@uwyo.edu
EDUCATIONAL BACKGROUND
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Degree
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Subject
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Board/University
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Session
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Ph.D.
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Biological and Agricultural Engineering
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Washington State University, USA
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2016-2020
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B.Sc (Engg.)
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Mechatronics and Control Engineering
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University of Engineering & Technology (UET) Lahore
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2009- 2013
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AREA OF EXPERTISE
Agricultural Robotics, Machine Vision, Deep Learning, Digital Agriculture, CEA
SERVICE TO PROFESSION
- Associate Editor for Journal “Computers and Electronics in Agriculture” (Since 2023)
- Guest Editor of a Special Issue “Computer Vision and Pattern Recognition for Advanced Smart Agriculture
Solutions” (Since 2024)
- Guest Editor of a Special Issue “Design and Control Advances in Agricultural Robots” for the Journal
“Computers and Electronics in Agriculture” (Since 2022)
- Guest Associate Editor of a Special Issue “Artificial Intelligence-of-Things (AIoT) in Precision Agriculture”
for the Journal “Frontiers in Plant Science” (Since 2022)
- Guest Editor of a Special Issue “Intelligent Robotics using AI and Computational Methods for Autonomous
Vehicles” for the Journal “Advances in Mechanical Engineering” (Since 2023)
- Guest Editor of a Special Issue “Research Status, Progress, and Applications of Agricultural Robot
and Agriculture 4.0 Technologies in Field Operation” for the Journal “Agronomy” (Since
2021)
- Editorial Board Member for Journal “Computers and Electronics in Agriculture” (Since 2021)
- Editorial Board Member for Journal “Information Processing in Agriculture” (Since 2020)
- Serving as a Reviewer for Various International High Impact Factor Journals Such as:
- Computers and Electronics in Agriculture (Since 2017)
- IEEE Transactions on Industrial Informatics (Since 2021)
- Remote Sensing (Since 2019)
- Transactions of ASABE (Since 2019)
- Conferences of IFAC (International Federation for Automatic Control) (Since 2018)
BOOKS/BOOK CHAPTERS
i. Majeed, Y., Fu, L., and He, L. (eds.) (2024). Artificial Intelligence-of-Things (AIoT) in Precision Agriculture. Lausanne: Frontiers Media SA. https://doi: 10.3389/978-2-8325-4431-0
ii. Majeed, Y.*, Waseem, M. (2023). Postharvest Handling Systems. In Zhang, Q. (eds) Encyclopedia of Smart Agriculture Technologies. Springer Cham. https://doi.org/10.1007/978-3-030-89123-7_125-2
iii. Karkee, M., Majeed, Y., and Zhang, Q. (2023). Advanced Technologies for Crop-load Management in Tree Fruit
Crops, Chapter in Advanced Automation for Tree Fruit Orchards and Vineyards. Springer, Cham. https://doi.org/10.1007/978-3-031-26941-7_6
PUBLICATIONS
- Journal (* Indicate the Correspondence Author)
- Jiang, L., Jiang, H., Jing, X., Dang, H., Li, R., Chen, J., Majeed, Y., Sahni, R., and Fu, L. (2024). UAV-based Field Watermelon Detection and Counting
Using YOLOv8s with Image Panorama Stitching and Overlap Partitioning. Artificial Intelligence in Agriculture. 13, 117-127. https://doi.org/10.1016/j.aiia.2024.09.001
- Majeed, Y., Ojo, M.O., and Zahid, A. (2024). Standalone Edge AI-based solution for Tomato Diseases
Detection. Smart Agricultural Technology. 9, 100547. https://doi.org/10.1016/j.atech.2024.100547
- Jing, X., Jiang, H., Niu, S., Zhang, H., Murengami, B.G., Wu, Z., Li, R., Zhou, C.,
Ye, H., Chen, J., Majeed, Y., and Fu, L. (2024). End-to-End Stereo Matching Network with Two-Stage Partition Filtering
for Full-Resolution Depth Estimation and Precise Localization of Kiwifruit for Robotic
Harvesting. Computers and Electronics in Agriculture. 225, 109333. https://doi.org/10.1016/j.compag.2024.109333
- Sun, X., He, L., Jiang, H., Li, R., Mao, W., Zhang, D., Majeed, Y., Andriyanov, N., Soloviev, V., and Fu, L. (2024). Morphological Estimation of Primary
Branch Length of Individual Apple Trees during the Deciduous Period in Modern Orchard
based on PointNet++. Computers and Electronics in Agriculture. 220, 108873. https://doi.org/10.1016/j.compag.2024.108873
- Majeed, Y.*, Fu, L., and He, L. (2024). Editorial: Artificial Intelligence-of-Things (AIoT) in
Precision Agriculture. Frontiers in Plant Science. 15: 1369791. https://doi.org/10.3389/fpls.2024.1369791
- Gao, C., Jiang, H., Liu, X., Li, H., Wu, Z., Sun, X., He, L., Mao, W., Majeed, Y., Li, R., and Fu, L. (2024). Improved Binocular Localization of Kiwifruit in Orchard
based on Fruit and Calyx Detection using YOLOv5x for Robotic Picking. Computers and Electronics in Agriculture. 217, 108621. https://doi.org/10.1016/j.compag.2024.108621
- Fang, W., Wu, Z., Li, W., Sun, X., Mao, W., Li, R., Majeed, Y., and Fu, L. (2023). Fruit Detachment Force of Multiple Varieties Kiwifruit with Different
Fruit-Stem Angles for Designing Universal Robotic Picking End-Effector. Computers and Electronics in Agriculture. 213, 108225. https://doi.org/10.1016/j.compag.2023.108225
- Majeed, Y., Khan, M.U., Waseem, M., Zahid, U., Mahmood, F., Majeed, F., Sultan, M., and Raza,
A. (2023). Renewable Energy as an Alternative Source for Energy Management in Agriculture.
Energy Reports. 10, 344-359. https://doi.org/10.1016/j.egyr.2023.06.032
- Jiang, H., Sun, X., Fang, W., Fu., L., Li, R., Cheein, F.A., and Majeed, Y. (2023). Thin Wire Segmentation and Reconstruction based on a Novel Image Overlap-Partitioning
and Stitching Algorithm in Apple Fruiting Wall Architecture for Robotic Picking. Computers and Electronics in Agriculture. 209, 107840. https://doi.org/10.1016/j.compag.2023.107840
- Zhou, Z., Zahid, U., Majeed, Y.*, Nisha, Mustafa, S., Sajjad, M.M., Butt, H.D., and Fu, L. (2023). Advancement in Artificial
Intelligence for on-farm Fruit Sorting and Transportation. Frontiers in Plant Science. https://doi.org/10.3389/fpls.2023.1082860
- Fu, L., Jiang, H., Sun, X., Suo, R., Li, R., Cheein, F.A., and Majeed, Y. (2022). Thin Wire Segmentation and Reconstruction Based on a Novel Images Cropping
and Stitching Algorithm in Apple Fruiting Wall Architecture for Robotic Picking. SSRN Electronic Journal. https://dx.doi.org/10.2139/ssrn.4237479
- Suo, R., Fu, L., He, L., Li, G., Majeed, Y., Liu, X., Zhao, G., Yang, R., and Li, R. (2022). A Novel Labeling Strategy to Improve
Apple Seedlings Segmentation using BlendMask for Online Grading. Computers and Electronics in Agriculture. 201, 107333. https://doi.org/10.1016/j.compag.2022.107333
- Sun, X., Fang, W., Gao, C., Fu, L., Majeed, Y., Liu, X., Gao, F., Yang, R., and Li, R. (2022). Remote Estimation of Grafted Apple
Tree Trunk Diameter in Modern Orchard with RGB and Point Cloud based on SOLOv2. Computers and Electronics in Agriculture. 199, 107209. https://doi.org/10.1016/j.compag.2022.107209
- Bhusal, S., Bhattarai, U., Karkee, M., Majeed, Y., and Zhang, Q. (2022). Automated Pest Bird Deterrence Using a Programmable Unmanned
Aerial Vehicle (UAV). Computers and Electronics in Agriculture. 198, 106972. https://doi.org/10.1016/j.compag.2022.106972
- He, L., Fang, W., Zhao, G., Wu, Z., Fu, L., Li, R., Majeed, Y., and Dhupia, J. (2022). Fruit Yield Prediction and Estimation in Orchards: A State-Of-The-Art
Comprehensive Review for Both Direct and Indirect Methods. Computers and Electronics in Agriculture. 195, 106812. https://doi.org/10.1016/j.compag.2022.106812
- Hussain, F., Akram, M.E., Amin, U., Haris, M., Noor, F., Sarwar, A., Majeed, Y., and Khan, M.U. (2021). Recent Progress and Performance of Solar Dryers used for
on-Farm Processing: A Review. Annuals of Food Processing and Preservation. 5(1), 1030.
- Yang, R., Wu, Z., Fang, W., Zhang, H., Wang, W., Fu, L., Majeed, Y., Li, R., and Cui, Y. (2021). Detection of Abnormal Hydroponic Lettuce Leaves based
on Image Processing and Machine Learning. Information Processing in Agriculture. https://doi.org/10.1016/j.inpa.2021.11.001
- Amin, U., Khan, M.U., Majeed, Y., Rebezov, M., Khayrullin, M., Bobkova, E., Shariati, M.A., Chung, I.M., and Thiruvengadam,
M. (2021). Potentials of Polysaccharides, Lipids and Proteins in Biodegradable Food
Packaging Applications. International Journal of Biological Macromolecules. 183, 2184-2198. https://doi.org/10.1016/j.ijbiomac.2021.05.182
- Zhou, Z., Majeed, Y.*, Naranjo, G.D., and Gambacorta, E.M.T. (2021). Assessment for Crop Water Stress with
Infrared Thermal Imagery in Precision Agriculture: A Review and Future Prospects for
Deep Learning Applications. Computers and Electronics in Agriculture. 182, 106019. https://doi.org/10.1016/j.compag.2021.106019
- Majeed, Y., Karkee, M., Zhang, Q., Fu, L. and Whiting, M.D. (2021). Development and Performance
Evaluation of Machine Vision System and an Integrated Prototype for Automated Green
Shoot Thinning in Vineyards. Journal of Field Robotics. 38, 898-916. https://doi.org/10.1002/rob.22013
- Wang, W., Ma, Y., Fu, L., Cui, Y., and Majeed, Y. (2020). Physical and mechanical properties of hydroponic lettuce for automatic harvesting.
Information Processing in Agriculture. https://doi.org/10.1016/j.inpa.2020.11.005
- Fu, L., Feng, Y., Wu, J., Liu, Z., Gao, F., Majeed, Y., Al-Mallahi, A., Zhang, Q., Li, R. and Cui, Y. (2020). Fast and Accurate detection
of kiwifruit in orchard using improved YOLOv3-tiny model. Precision Agriculture. https://doi.org/10.1007/s11119-020-09754-y
- Majeed, Y., Karkee M. and Zhang, Q. (2020). Estimating the Trajectories of Vine Cordons in Full
Foliage Canopies for Automated Green Shoot Thinning in Vineyards. Computers and Electronics in Agriculture. 176, 105671. https://doi.org/10.1016/j.compag.2020.105671
- Fu, L., Majeed, Y., Zhang, X., Karkee, M., and Zhang, Q. (2020). Faster R-CNN-based Apple detection
in Dense-Foliage Vertical Fruiting-Wall Trees Using RGB and Depth Features for Robotic
Harvesting. Biosystems Engineering. 197, 245-256. https://doi.org/10.1016/j.biosystemseng.2020.07.007
- Gao, F., Fu, L., Zhang, X., Majeed, Y., Li, R., Karkee, M., and Zhang, Q. (2020). Multi-class fruit-on-plant detection for
apple in SNAP system using Faster R-CNN. Computers and Electronics in Agriculture. 176, 105634. https://doi.org/10.1016/j.compag.2020.105634
- Zhang, J., Karkee, M., Zhang, Q., Zhang, X., Majeed, Y., Fu, L. and Wang, S. (2020). Multi-Class Object Detection using Faster R-CNN and
Estimation of Shaking Locations for Automated Shake-and-Catch Apple Harvesting. Computers and Electronics in Agriculture, 173, 105384. https://doi.org/10.1016/j.compag.2020.105384
- Majeed, Y., Karkee, M., Zhang, Q., Fu, L. and Whiting, M.D. (2020). Determining the Grapevine
Cordon Shape for Automated Green Shoot Thinning Using Semantic Segmentation-based
Deep Learning Networks. Computers and Electronics in Agriculture, 171, 105308. https://doi.org/10.1016/j.compag.2020.105308
- Majeed, Y., Zhang, J., Zhang, X., Fu, L., Karkee, M., Zhang, Q. and Whiting, M.D. (2020). Deep
Learning Based Segmentation for Automated Training of Apple Trees on Trellis Wires.
Computers and Electronics in Agriculture. 170, 105277. https://doi.org/10.1016/j.compag.2020.105277
- Liu, Z., Wu, J., Fu, L., Majeed, Y., Feng, Y., Li, R., & Cui, Y. (2020). Improved kiwifruit detection using pre-trained
VGG16 with RGB and NIR information fusion. IEEE Access. 8(1), 2327-2336. https://doi.org/1109/ACCESS.2019.2962513
- Fu, L., Zhang, X., Majeed, Y. and Li, R. (2019). Interactive Teaching of Digital Electronics in Agricultural Universities
in China. International Journal of Emerging Technologies in Learning (iJET). 14(5). https://doi.org/10.3991/ijet.v14i05.8855
- Zhang, X., He, L., Majeed, Y., Whiting, M.D., Karkee, M. and Zhang, Q. (2018). A Precision Pruning Strategy for
Improving Efficiency of Vibratory Mechanical Harvesting of Apples. Transactions of ASABE. https://doi.org/10.13031/trans.12825
2. Peer-Reviewed Conference
- Bashir, A., Majeed, Y., and Zahid, A. (2024). Development of an End-Effector for Robotic Harvesting of Hydroponic
Lettuce. In 2024 ASABE Annual International Meeting(p. 1). American Society of Agricultural and Biological Engineers. https://doi.org/10.13031/aim.202400401
- Bhattarai, U., Bhusal, S., Majeed, Y., and Karkee, M. (2020). Automatic Blossom Detection in Apple Trees using Deep Learning. IFAC-PapersOnLine. 53(2), pp. 15810-15815. https://doi.org/10.1016/j.ifacol.2020.12.216
- Majeed, Y., Karkee, M., and Zhang, Q. (2020). Convolutional Neural Network-based Machine Vision
System for Automated Green Shoot Thinning in Vineyards. In Proceedings of 5th International Conference on Advanced Engineering and ICT-Convergence
(ICAEIC-2020), pp. 33-36.
- Majeed, Y., Karkee, M., Zhang, Q. Fu, L. and Whiting, M.D. (2019). A Study on the Detection of
Visible Parts of Cordons Using Deep Learning Networks for the Automated Green Shoot
Thinning in Vineyards. IFAC-PapersOnLine. 52(30), pp.82-86. https://doi.org/10.1016/j.ifacol.2019.12.501
- Majeed, Y., Zhang, J., Zhang, X., Fu, L., Karkee, M., Zhang, Q. and Whiting, M.D. (2018). Apple
Tree Trunk and Branch Segmentation for Automatic Trellis Training Using Convolutional
Neural Network Based Semantic Segmentation. IFAC-PapersOnLine, 51(17), pp.75-80. https://doi.org/10.1016/j.ifacol.2018.08.064
- Zhang, X., Fu, L., Majeed, Y., He, L., Karkee, M., Whiting, M.D. and Zhang, Q. (2018). Field Evaluation of Data-based
Pruning Severity Levels (PSL) on Mechanical Harvesting of Apples. IFAC-PapersOnLine, 51(17), pp.477-482. https://doi.org/10.1016/j.ifacol.2018.08.164
- Fu, L., Feng, Y., Majeed, Y., Zhang, X., Zhang, J., Karkee, M. and Zhang, Q. (2018). Kiwifruit detection in field
images using Faster R-CNN with ZFNet. IFAC-PapersOnLine, 51(17), pp.45-50. https://doi.org/10.1016/j.ifacol.2018.08.059
- Fu, L., Liu, Z., Majeed, Y. and Cui, Y. (2018). Kiwifruit yield estimation using image processing by an Android
mobile phone. IFAC-PapersOnLine, 51(17), pp.185-190. https://doi.org/10.1016/j.ifacol.2018.08.137
- Zhang, X., He, L., Majeed, Y., Karkee, M., Whiting, M.D. and Zhang, Q. (2017). A Study of the Influence of Pruning
Strategy Effect on Vibrational Harvesting of Apples. In 2017 ASABE Annual International Meeting(p. 1). American Society of Agricultural and Biological Engineers.
3. Abstract/Poster/Seminar Presentation
- Majeed, Y., and Zahid, A. (2024). Deep Learning-based Plant Spacing Estimation for Efficient
Resources Utilization in Controlled Environment Agriculture. In 2024 ASABE Annual International Meeting in Anaheim, CA
- Bashir, A., Ojo, M., Majeed, Y., and Zahid, A. (2024). Edge AI-enabled Cutting Point Localization for Robotic Harvesting
of Hydroponic Lettuce. In 2024 ASABE Annual International Meeting in Anaheim, CA
- Bashir, A., Majeed, Y., and Zahid, A. (2024). Development of an End-Effector for Robotic Harvesting of Hydroponic
Lettuce. In 2024 ASABE Annual International Meeting in Anaheim, CA
- Majeed, Y., Waseem, M., and Zahid, A. (2024). Quality Index Measurement System for Tomatoes
based on Self-Attention Convolutional Neural Networks and Channel Pruning and Quantization.
In 2024 Artificial Intelligence in Agriculture Conference between 15-17 April 2024.
(Presented)
- Majeed, Y. (2023). AI-based Food Quality Assessment System. In One-Day Seminar on Optical Methods
for Food Quality Analysis Arranged by National Institute of Laser & Optronics on March
14, 2023. (Presented)
- Majeed, Y., Karkee, M., and Zhang, Q. (2021). Automated green shoot thinning in vineyards. In
Washington Winegrowers Convention & Trade Show 2021. (Presented)
- Majeed, Y., Karkee, M., and Zhang, Q. (2020). Convolutional neural network-based machine vision
system for automated green shoot thinning in vineyards. In 5th International Conference on Advanced Engineering and ICT-Convergence 2020. (Presented)
- Majeed, Y., Karkee, M., and Zhang, Q. (2020). Shoot density estimation for automated green shoot
thinning in vineyards. In 2020 ASABE Annual International Meeting. (Presented)
- Majeed, Y., Zhang, X., Fu, L., Karkee, M., Zhang, Q. (2019). Determining the Shape of the Cordon
for Automated Green Shoot Thinning in Vineyards Using Semantic Segmentation-based
Deep Learning Networks. In 2019 ASABE Annual International Meeting in Boston, MA. (Presented)
- Fu, L., Zhang, X., Majeed, Y., Zhang, J., Karkee, M., Zhang, Q. (2019). Apple detection in fruiting wall architecture
trees using RGB and Depth features based on Faster R-CNN. In 2019 ASABE Annual International Meeting in Boston, MA. (Presented)
- Bhattarai, U., Bhusal, S., Majeed, Y., Karkee, M. (2019). Blossom Detection in Apple Trees for Selective Blossom Thinning.
In 2019 ASABE Annual International Meeting in Boston, MA. (Presented)
- Majeed, Y., Zhang, J., Zhang, X., Fu, L., Karkee, M., Zhang, Q. and Whiting, M.D. (2018). Deep
Learning Based Segmentation for Automatic Apple Trees Trellis Training. In 2018 PGSA Research Expo in Prosser, WA.
- Majeed, Y., He, L., Zhang, X., Fu, L., Karkee, M., Zhang, Q. and Matthew, M.D. (2018). Evaluation
of Tying forces for Mechanical Branch Training on Trellis Trained Apple Trees. In
2018 ASABE Annual International Meeting in Detroit, MI.
- Fu, L., Zhang, X., Majeed, Y., Zhang, J., Karkee, M. and Zhang, Q. (2018). Automatic Apple detection Using a Kinect
Sensor Based on Deep Learning. In 2018 ASABE Annual International Meeting in Detroit, MI.
- Zhang, X., He, L., Majeed, Y., Fu, L., Karkee, M., Whiting, M.D. and Zhang, Q. (2018). Integration and Interaction
of Canopy and Mechanical Parameters for Vibratory Harvesting of Apple Trees. In 2018 ASABE Annual International Meeting in Detroit, MI.
- Zhang, J., Karkee, M., Zhang, Q., Majeed, Y. and Fu, L. (2018). Branch Trajectory Fitting and Localization of Shaking Position
for Apple Automatic Vibration Harvesting Machinery Using Faster-RCNN. In 2018 ASABE Annual International Meeting in Detroit, MI.
- Zhang, X., He, L., Majeed, Y., Karkee, M., Whiting, M.D. and Zhang, Q. (2017). A Study of the Influence of Pruning
Strategy Effect on Vibrational Harvesting of Apples. In 2017 ASABE Annual International Meeting in Spokane, WA.
- Majeed, Y., Khan, M.A, Farooq, U. and Maqsood, U. (2015). A Glimpse of Robots in Alternative
Energy Industry. In International Workshop on Renewable Energy Technologies for Community Development
in Pakistan.
- Farooq, U., Munir, A., Khan, M.U., Manzoor, M.O., Ayub, I. and Majeed, Y. (2015). Pakistan’s Energy Mix: Possibilities and Challenges. In International Workshop on Renewable Energy Technologies for Community Development
in Pakistan.
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